Showing papers presented at "International Conference on Industrial Instrumentation and Control in 2015"

MRI brain cancer classification using hybrid classifier (SVM-KNN)

Abstract: This paper proposes an intellectual classification system to recognize normal and abnormal MRI brain images. Nowadays, decision and treatment of brain tumors is based on symptoms and radiological appearance. Magnetic resonance imaging (MRI) is a most important controlled tool for the anatomical judgment of tumors in brain. In the present investigation, various techniques were used for the classification of brain cancer. Under these techniques, image preprocessing, image feature extraction and subsequent classification of brain cancer is successfully performed. When different machine learning techniques: Support Vector Machine (SVM), K- Nearest Neighbor (KNN) and Hybrid Classifier (SVM-KNN) is used to classify 50 images, it is observed from the results that the Hybrid classifier SVM-KNN demonstrated the highest classification accuracy rate of 98% among others. The main goal of this paper is to give an excellent outcome of MRI brain cancer classification rate using SVM-KNN.

Real time finger tracking and contour detection for gesture recognition using OpenCV

Abstract: Gestures are important for communicating information among the human. Nowadays new technologies of Human Computer Interaction (HCI) are being developed to deliver user's command to the robots. Users can interact with machines through hand, head, facial expressions, voice and touch. The objective of this paper is to use one of the important modes of interaction i.e. hand gestures to control the robot or for offices and household applications. Hand gesture detection algorithms are based on various machine learning methods such as neural networks, support vector machine, and Adaptive Boosting (AdaBoost). Among these methods, AdaBoost based hand-pose detectors are trained with a reduced Haar-like feature set to make the detector robust. The corresponding context-free grammar based proposed method gives effective real time performance with great accuracy and robustness for more than four hand gestures. Rectangles are creating some problem due to that we have also implement the alternate representation method for same gestures i.e. fingertip detection using convex hull algorithm.

A review on indoor human aware autonomous mobile robot navigation through a dynamic environment survey of different path planning algorithm and methods

Abstract: Practical realistic environment for path and continuous motion planning problems normally consist of numerous working areas such as in indoor application consist of number of bedrooms, hallways, multiple doorways with many static and dynamic obstacle in between. Disintegration of such environment into small areas, or regions shows impact on the quality of adaptive path planning in dynamic environment. Many algorithms are developed for solving problems involving narrow passages and multiple regions with optimal solution. Autonomous mobile robot system must have sense of balance of its potential, steadfastness and sturdiness issue with task and the final goals while generating and executing an adaptive as well as effective strategy with optimal solution. Navigation algorithms approaching to a certain maturity in the field of autonomous mobile robot, so most of research is now focused more advance task like adaptive path planning and navigation through dynamic environments. Adaptive path planning and navigation needs to set learning rate, rules for classifying spaces and defining proposed library parameters. The aim of this survey is to informing the progress of human sentient manipulation planner.

Design and operation of Wi-Fi agribot integrated system

Abstract: Robotics in agriculture is not a new concept; in controlled environments (green houses), it has a history of over 20 years. Research has been performed to develop harvesters for cherry tomatoes, cucumbers, mushrooms, and other fruits. In horticulture, robots have been introduced to harvest citrus and apples. In this paper autonomous robot for agriculture (AgriBot) is a prototype and implemented for performing various agricultural activities like seeding, weeding, spraying of fertilizers, insecticides. AgriBot is controlled with a Arduino Mega board having At mega 2560 microcontroller. The powerful Raspberry Pi a mini computer is used to control and monitor the working of the robot. The Arduino Mega is mounted on a robot allowing for access to all of the pins for rapid prototyping. Its hexapod body can autonomously walk in any direction, avoiding objects with its ultrasonic proximity sensor. Its walking algorithms allow it to instantly change direction and walk in any new direction without turning its body. An underbody sensory array allows the robot to know if a seed has been planted in the area at the optimal spacing and depth. AgriBot can then dig a hole, plant a seed in the hole, cover the seed with soil, and apply any pre-emergence fertilizers and/or herbicides along with the marking agent. AgriBot can then signal to other robots in the immediate proximity that it needs help planting in that area or that this area has been planted and to move on by communicating through Wi-Fi.

Design and development of a wind turbine test rig for condition monitoring studies

Abstract: Wind energy is an emerging, clean and renewable source of energy. It is estimated that by year 2035, wind energy will be generating more than 25% of the world's electricity according to International Energy Agency (IEA). With the increase in demand for wind energy, its maintenance issues are becoming more prominent. The scheduled maintenance is more economical than unscheduled repair resulting from failure. So a continuous condition monitoring of various critical components like bearings, gearbox, and shafts of wind turbine is essential in order to enable predictive maintenance. 10% of the total failure is contributed by the bearings, shaft and gear box failures, but the downtime is more than 50% of the total downtime. This paper discusses the development of a bench-top test rig which is designed to mimic the operating condition of an actual wind turbine and use it for monitoring its condition so as to diagnose the incipient faults in its critical components using latest machine learning algorithms such as Artificial Neural Network (ANN).

Design and implementation of 16 × 16 multiplier using Vedic mathematics

Abstract: This paper briefly describes the Urdhva-Tiryagbhyam Sutra of vedic mathematics and we have designed multiplier based on the sutra. Vedic Mathematics is the ancient system of mathematics which has a unique technique of calculations based on 16 Sutras which are discovered by Sri Bharti Krishna Tirthaji. In this era of digitalization, it is required to increase the speed of the digital circuits while reducing the on chip area and memory consumption. In various applications of digital signal processing, multiplication is one of the key component. Vedic technique eliminates the unwanted multiplication steps thus reducing the propagation delay in processor and hence reducing the hardware complexity in terms of area and memory requirement. We implement the basic building block: 16 × 16 Vedic multiplier based on Urdhva-Tiryagbhyam Sutra. This Vedic multiplier is coded in VHDL and synthesized and simulated by using Xilinx ISE 10.1. Further the design of array multiplier in VHDL is compared with proposed multiplier in terms of speed and memory.

Design and development of hand gesture recognition system for speech impaired people

Abstract: All over world, deaf and dumb people face struggle in expressing their feelings to other people. There are various challenges experienced by speech and hearing impaired people at public places in expressing themselves to normal people. The solution to this problem is determined in this paper, by the usage of the Indian sign language symbols which are generic to all deaf and dumb people in India. The gestures illustrated by the Indian sign language symbols will be conquered with the support of the flex sensors and accelerometer. The movements included during gesture representation are rotation, angle tilt, and direction changes. The flex sensor and the accelerometer are incorporated over fingers and wrist respectively to acquire their dynamics, a these sensors are fitted over the data glove. These voltage signals will then be processed by microcontroller and sent to voice module, where the words voice outputs are stored and play backed equivalent to each word values to produce the appropriate voice words with the help of the speaker.

Spectral and spatial domain approach for fabric defect detection and classification

Abstract: Fabric inspection has an important role of preventing delivery of inferior quality product. The fabric defect inspection process is traditionally carried out with human visual inspection that proves to be insufficient and costly. Hence in order to reduce the cost and wastage of time, Computer vision based fabric defect detection is required. Robust and efficient fabric defect detection algorithms are required for inspection. This paper presents spectral domain and spatial domain approach for fabric defect detection. Spectral domain approach includes Fast Fourier Transform (FFT), Discrete Cosine Transform (DCT), wavelet and Gabor filter. Spatial domain approach includes two methods morphological operations and statistical operations.

A voice-controlled personal assistant robot

Abstract: Personal robotic assistants help reducing the manual efforts being put by humans in their day-to-day tasks In this paper, we develop a voice-controlled personal assistant robot The human voice commands are given to the robotic assistant remotely, by using a smart mobile phone The robot can perform different movements, turns, start/stop operations and relocate an object from one place to another The voice commands are processed in real-time, using an online cloud server The speech signal commands converted to text form are communicated to the robot over a Bluetooth network The personal assistant robot is developed on a micro-controller based platform and can be aware of its current location The effectiveness of the voice control communicated over a distance is measured through several experiments Performance evaluation is carried out with encouraging results of the initial experiments Possible improvements are also discussed towards potential applications in home, hospitals and industries

Color analysis of thermograms for breast cancer detection

Abstract: Breast cancer is the most common cancer in women. Findings show that early detection of breast cancer can improve survival rate. Mammography is the standard method of diagnosing breast cancer; but Infrared Breast thermography is an imaging technique that provides information based on the temperature changes in breast. This information is precancerous alarms that may lead to tumor. Thermography helps to detect cancer in its early stages, thus survival is possible. Thermal or Infrared radiations emitted from human body are higher around the regions where an tumour is present essentially due to increased cell activity. The thermal information can be shown in a pseudo coloured image where each colour represents a specific range of temperature. Clinical interpretation of breast thermogram is primarily based on colour analysis of the heat patterns visually and subjectively. This study endeavours to present analysis of breast thermogram based on segmentation of region of interest which is extracted a hot region followed by color analysis. The shape, size and borders of the hottest regions of the images can help to determine features which are used to detect abnormalities. The abnormality of breast thermograms is indicated by these features and it is confirmed by comparing with doctors diagnosis. Hence suitability of infrared thermography as a diagnostic tool in breast cancer detection is establihed through this study.

Design and simulation of Perturb and Observe Maximum Power Point Tracking using MATLAB/Simulink

Abstract: This paper presents design and simulation of Perturb and Observe (PO) algorithm of Maximum Power Point Tracking (MPPT) for Photo voltaic system. The characteristics of a solar cell are dependent on the environmental parameters like sun light and temperature and are non linear in nature. It's power changes non linearly with respect to the voltage and current. Hence there is only one voltage and current at which Maximum Power Point (MPP) exists for certain climate conditions. MPPT serves the purpose of tracking the MPP. The step by step procedure of solar panel modelling, designing of DCDC boost converter and PO MPPT is given. The solar panel and PO MPPT is simulated under different environmental conditions. The simulation results are discussed.

Comparative analysis of THD for symmetrical and asymmetrical 17 level cascaded H-bridge inverter using carrier based PWM techniques

Abstract: In this paper various multicarrier PWM schemes are simulated, to reduce the THD and enhance the output voltage waveforms for seventeen level inverter. Here, three modulation techniques are compared: constant switching frequency (CSF), Phase shift (PS PWM) and variable switching frequency (VSF). These schemes are applied for analysis of both symmetrical and asymmetrical structure of cascaded H-bridge 17-level inverter. Simulation for 17- level cascaded H-bridge inverter (CMLI) has been carried out in MATLAB/ Simulink and simulation results for voltage waveform and harmonic spectrum are presented in this paper and analyzed.

Analysis of different flyback Converter topologies

Abstract: High step-up dc-dc converters have been widely used in the green energy systems. In this paper an analysis of different flyback Converter topologies are proposed. Generally it is more suitable for high voltage and low power (less than 100 W) applications. Its main features are simplicity, low cost and galvanic isolation. In the recent years, many different topologies have been discussed. Important topologies such as Active Clamp, RCD Snubber, Dual output AC and DC, Two Switch and Interleaved flyback Converters are analyzed. Functionalities of these converters are simulated using matlab and their results are compared.

Novel video keyframe extraction using KPE vector quantization with assorted similarity measures in RGB and LUV color spaces

Abstract: In the current era, most of the digital information is in the form of multimedia with a giant share of videos. Videos do have audio and visual content where the visual content has number of frames put in a sequence. Most of the consecutive frames do have very little discriminative contents. In video summarization process, several frames containing similar information do need to get processed. This leads to redundant slow processing speed and complexity, time consumption. Video summarization using key frames can ease the speed up of video processing. In this paper, novel key frames extraction method is proposed with Kekere's Proportionate Error (KPE) codebook generation techniques of vector quantization with ten different codebook sizes and two color spaces (RGB and KLUV). Experimentation done with help of the test bed of videos has shown that higher codebook sizes of KPE have given better completeness in key frame extraction for video summarization. The LUV color space with Euclidean Distance with 512 codebook size gives best performance. In square chord Distance, Mean Square Error and Euclidean Distance LUV color space gives better completeness than RGB color space for proposed KPE based video Key frame Extraction

Pibot: The raspberry pi controlled multi-environment robot for surveillance & live streaming

Abstract: In today's world, everyone is worried about their safety due to increase in crime rate. This has led to an increase in the importance of surveillance systems In this project raspberry pi is used to make a robot which in turn is used to make a real-time surveillance system possible within a local network. The live streaming is accomplished by using the mjpeg streamer and the server-client model is made using java.

Retinal blood vessel segmentation using graph cut analysis

Abstract: The automated segmentation of blood vessels helps the ophthalmologist for early detection and possible treatment of retinal diseases. This paper presents a novel method for automatic segmentation of blood vessels using graph cut method. Initially, we applied mean filter, convolution by Gaussian kernel, shade correction and top-hat transformation as preprocessing steps for enhancement of blood vessels. It significantly enhance retinal image while suppress the noise and non-vessel structures keeping vessel information. Then vascular structure is extracted using graph cut segmentation. The proposed approach is tested on publicly available DRIVE dataset. Performance analysis is carried out and compared with other methods. The values achieved with our novel method for area under curve, accuracy, sensitivity and specificity are 0.9605, 0.9626, 0.7261 and 0.9806 respectively. This performance parameter comparison shows the effectiveness of our method for improving the segmentation results and hence detects blood vessels accurately.

Energy efficient cluster based approach for data collection in wireless sensor networks with multiple mobile sink

Abstract: A wireless sensor network could be either homogeneous network or heterogeneous network. Depending upon the nature of application requirements a wireless sensor node could either be static or mobile one. When the nodes are static, data collection by the sink from various sources will be difficult and time consuming process. Also static deployment of sink as well as source nodes lead to energy hole problem because the nodes in one hop neighbor of sink must always be active to transmit the data from the sources down to it. This energy hole problem leads to network partition and reduction in life time of any wireless sensor network. So, to increase the lifetime of a wireless sensor network and energy efficient routing mobile sink based approach could be used. Due to the mobility of sink data collection will be carried out faster in time and energy hole problem could be eliminated. Introduction of a single mobile sink also leads to a problem like coverage area, time delay due to obstacles, interference or limited entry and pause time, time synchronization between the source and sink, link failure or node failure and so on. By considering the residual energy of each node and reliable data transfer in a wireless sensor network a new cluster based approach using controlled flooding is proposed with multiple mobile sink for prolonging the life time of a wireless sensor network. Irrespective of the medium this approach uses predetermined and controlled mobility model for determining the direction of movement for mobile sink. This approach uses some set of rules for path reconstruction phase with limited flooding of update message consisting of current location of the sink and Time Of Arrival (TOA). Simulation result shows that the multiple mobile sink with reduced reconstruction of route has improved the energy efficiency and increased lifetime of wireless sensor network.

Auto tuning of PID controller

Abstract: Highly increasing global competition has led to continuous improvisation of process control, optimization and its design which constitute the most important factors of any industry. To analyze the effect of variables at different conditions of process a pilot plant plays a crucial role. This work is directed towards the design, development and implementation of an auto-tuning Proportional Integral Derivative (PID) controller for heat exchanger present in forced circulation evaporator pilot plant and boiler and heat exchanger pilot plant. These laboratory based pilot plants are used to perform rigorous experimentation for validation of theoretical results on actual system. The major part of the process is development of model and implementation of auto tuning algorithm as the tuning parameters have to be updated continuously. Basically in practical implementation of a PID controller and tuning its control parameter there is a possibility that due to human intervention the process is not tuned to obtain optimum control hence auto-tune method serves a masterpiece as it automatically tunes the parameters (which in other case have to be tuned manually) and controls the process to its optimum limits. As a prerequisite, we have considered implementation of both the methods i.e. Ziegler Nichols PID (ZNPID) and Augmented Ziegler Nichols PID (AZNPID) in MATLAB on the generic model of heat exchanger which is validated against results available in the literature and their performance is analyzed for different performance parameters, namely percentage overshoot, rise time and settling time. Ziegler Nichols auto-tune method used for tuning the decentralized PID loop is implemented in MATLAB.

Fusion based Multimodal Biometric cryptosystem

Abstract: Security is main concern in Automated Teller Machines today. Multimodal Biometrics are more secure as compared to Unimodal Biometrics as even if one trait fails the other is present. The futuristic application of Multimodal Biometrics could be in Automated Teller Machines (ATM). The proposed work involves capturing of three biometric traits of a person namely face, fingerprint and palm vein by designed hardware later these are preprocessed and fused together for cryptography. Palm vein is chosen as a biometric trait as no two palm veins match unless they are of the same person also palm has a good vascular pattern making it a good identifying factor for an individual as compared to other biometric traits. Further security is achieved in the system by fusion of palm vein with face and fingerprint. Cryptosystem is used in order to get security. The images captured by the designed hardware are preprocessed using Image enhancement techniques and Features are extracted by Curvelet Transform, Gabor Filter and Principal Component analysis. The feature vectors are fused at feature level using Euclidean distance and later matched.

Design and FPGA implementation of optimized 32-bit Vedic multiplier and square architectures

Abstract: This paper presents the design of high speed multiplier and squaring architectures based upon ancient Indian Vedic mathematics sutras. In existing Vedic multiplier architectures, the partial product terms are computed in parallel and then added at the end to get the final result. In this work, all the partial products are adjusted using concatenation operation and are added using single carry save adder instead of two adders at different stages. The high speed Vedic multiplier architecture is then used in the squaring modules. The reduced number of computations in multiplication due to adjusting using concatenation operation and one carry save adder only, the designed multiplier offers significant improvement in speed. The designed architectures are realized using Xilinx Spartan-3E FPGA. The comparison shows the 28.72% and 38.59% reduction in propagation delay for the designed 32-bit multiplier as compared to the existing multiplier designs.

Development of cloud based light intensity monitoring system using raspberry Pi

Abstract: Accurate and quantifiable measurement of light is essential in creating desired outcomes in practical day to day applications as well as unique applications such as Traffic lighting system, Poultry Industry, Gardening, Museum lighting system, at emergency exits etc. Hence, Light measurement and analysis is an important step in ensuring efficiency and safety. Many of the industries are burdened with limited number of resources and real shortage of experts on their fields; real time remote monitoring presents an effective solution that minimizes their efforts and expenditures to achieve the desired results within time. This paper introduces real time remote Light intensity monitoring system using Raspberry Pi which enables the user to track the lighting system remotely. Raspberry pi is a low cost ARM powered Linux based computer which acts as a server, and it communicates with clients with LAN or external Wi-Fi module. The key feature of this system is light intensity being monitored instantaneously and data stored in the database for future use, and shown in the form of dynamic charts to the user according to the user requirement in a terminal device like Tablet or Smart Phone or any internet enabled device. This empowers experts to make right decisions at right time to get desired results.

Effective test strategy for testing automotive software

Abstract: Electronic content is increasing in automobiles day by day. Functionalities like Air Bags, Anti-lock Braking, Driver Assistance Systems, Body Controllers, Passive entry Passive Start, Electronic Power Steering etc. are realized electronically with complex software. These functionalities are related to automobile system safety. Hence, safety is one of the key issues of future automobile development. Risk of system failure is high due to increasing technological complexity and software content. The software shall be tested well to arrest almost all the defects. This paper explains a test case development and execution strategy based on practical implementation. It explains how test case reduction using Taguchi method, prioritization of test execution and automation help to make testing effective. It also demonstrates how maximum defects are discovered in short time.

Design and simulation of DC-DC converters for Photovoltaic system based on MATLAB

Abstract: The use of Photovoltaic (PV) systems is increasing rapidly due to its various advantages. The performance of PV system depends upon in plane radiation and temperature. A PV module is designed in MATLAB-SIMULINK using the S-function builder and controlled current source. The proposed PV module enables us to obtain its P-V and I-V characteristics at different temperature and radiations. The main disadvantage of the PV system is its variable voltage. To obtain the stable voltage, the different DC-DC converters are connected with the PV modules. An intermediate dc-dc converter can increase efficiency of the system by providing impedance match between PV system and load. This paper presents the design and simulation of DC-DC converters. In this paper, Boost converter, cascaded Buck Boost, Cuk converter and Single ended primary inductance converter (SEPIC) are modeled in MATLAB and their results are compared.

Multi Robot Communication and Target Tracking system with controller design and implementation of SWARM robot using Arduino

Abstract: SWARM robotics or multi robot systems is a novel approach to the coordination of large numbers of relatively simple robots which takes its inspiration from social insects - ants, termites, wasps and bees etc. Local communication can be achieved by different types of wireless transmission systems. Different types of sensing system, Communication system and design approaches are used in SWARM robotics. This paper presents a controller design and hardware specifications of robot for SWARM application using Arduino MEGA-2560 which is having Atmel's ATmega2560 microcontroller. Implementation details are explained, and application of the multi-agent system is verified through algorithms. Multi Robot Communication is implemented to achieve Leader-Follower approach of SWARM navigation where leader robot guides the slave robots. Target Tracking or Move to Goal algorithm is implemented on robot which allows one robot to reach target directed by other robot. Communication between robots is achieved using low cost CC2500 wireless transceiver module which is designed for very low-power wireless applications.

Hourly electric load forecasting using Nonlinear AutoRegressive with eXogenous (NARX) based neural network for the state of Goa, India

Abstract: Accurate models for electric power load forecasting are essential for the operation and planning of power system from technical as well as financial perspective. Paper proposes an approach for short term electric load forecasting based on parameters which have been arrived from past load data using artificial neural network based Non linear autoregressive network exogenous technique. Novel approach for obtaining the seasonality factor, weekly trend and load increase pattern from past electricity consumption data are also proposed. Proposed methodology requires lesser real time inputs such as weather information. The real time active power load consumption data in MW for two and half years of Goa Electricity Board of Goa state from India is used for predicting future load demand. The results obtained from the model successfully predicts the future load data for week days with mean square error less than 1.67% and mean absolute deviation of 3.6%, which proves suitability of our proposed technique for forecasting.

Novel, low cost remotely operated smart irrigation system

Abstract: Agriculture plays very vital role in Indian economy. Near about 70% of Indian population directly depends on agriculture. The main aim of this paper is to provide new engineering technology in an agricultural area which enhances farmers life and Indian economy. Irrigation i.e. well-timed and ample amount of water supply is necessary for agriculture to increase its productivity. This paper develops a small embedded system device (ESD) which takes care of a whole irrigation process and makes farmers life easier. The PIC18F4550 microcontroller interfaced with GSM module works as a brain and several sensors like temperature, level and rain works as eyes of this ESD. The power detecting circuit and battery backup unit take this ESD to next level by informing presence of three phase power supply in the field. The farmer just needs to send predefined commands through SMS from her/his mobile phone to this ESD to carry out irrigation process effectively. If and only if eyes of the ESD sees all parameters are within a safe range, the PIC18F4550 starts irrigation process by starting the irrigation pump. The farmer gets time to time feedback from ESD through SMS about the action that has taken place by PIC18F4550. The GSM module allows farmers to operate and monitor a remotely placed irrigation pump from anywhere far from their field. The free SMS facilities provided to farmers makes it more cost effective. In this way, this new engineering technology makes farmers life easier by providing remotely operated, more efficient and cost effective irrigation system.

Torque sensorless control of a human-electric hybrid bicycle

Abstract: The aim of this paper is to design a torque sensorless controller for a human-electric hybrid bicycle. The human input torque is estimated using the disturbance observer to design the controller for electric motor to assist the cyclist based on the requirement. The closed loop stability is ensured for various assist condition as per the standard. Simulation results are presented to validate the proposed technique.

Anti-theft energy metering for smart electrical distribution system

Abstract: Accurate metering and billing of actual energy consumed by consumers is integral to commercial management of an electric utility. An aggregate technical and commercial loss in India is around 27% and this is very high in spite of various reforms and measures by electricity boards across country. One of the significant components of these losses is Theft. Electricity theft is a grave problem across the globe. Improvement in aggregate technical and commercial losses in phased manner is very important for financial and technical viability of distribution companies in deregulated environment. The major challenge is to identify the location of the theft and estimate the amount of energy being stolen. Research to identify power pilferages and remedial measures to overcome them in electricity sector has been going on in recent years. The Paper proposes a conceptual approach to get both the approximate location and estimate of energy theft at that location. With both information available in real time, it will completely change the landscape of electrical sector across the nation.

Hall sensor fault detection and fault tolerant control of PMSM drive system

Abstract: This paper presents a novel hall sensor fault detection and fault tolerant control system for Hall Effect position sensors failure of permanent magnet synchronous motor. The proposed system is capable to accurately detect and promptly identify exactly which of the Hall Effect sensors has undergone breakdown when the fault occurs. A simple method to generate the commutation signal even with faulty Hall Effect sensor to maintain the proper operation of PMSM after fault occurrence is discussed in this paper. The proposed fault tolerant control system does not need massive computational efforts and can be implemented as a subroutine in the main control program of the PMSM. In addition, the transitions between healthy and fault-tolerant control conditions are smooth without any additional noise and jerk. Experimental results have been presented to prove the validity of the proposed algorithm.

Study of sensorless control algorithms for a permanent magnet synchronous motor vector control drive

Abstract: In the recent past, the use of permanent magnet synchronous motors (PMSM) has increased considerably owing to their inherent advantages. The high performance speed and/or position control of a PMS motor requires an accurate knowledge of rotor shaft position and angular speed in order to synchronize the phase excitation pulses to the rotor position. The rotor position and speed information is specifically required for implementation of vector control scheme in a PMSM. In order to achieve the speed control various sensored methods are employed. Due to number of advantages recent trend is to implement the sensorless control drive for a PMSM. This paper presents and compares two main sensorless control algorithms viz, Sliding Mode observer(SMO) and Extended Kalman Filter (EKF) for sensorless estimation of rotor position and speed in a PMSM. The simulation results for both these methods on an identical PMSM are presented. The analysis of these results give some insights into the accuracy of estimations and subsequent working of the PMSM with them.