ANFIS-DTC based solar PV water pumping using synchronous reluctance motor
01 Dec 2017-
TL;DR: The adaptive neuro fuzzy inference system has three main functions, high starting current without the use of linear current boosters until motor achieves pull out torque, motor voltage under safe range, and operating the PV array at the maximum power region.
Abstract: This paper presents an intelligent adaptive neuro fuzzy inference control of synchronous reluctance motor the proposed adaptive neuro fuzzy inference system algorithm for motor control The proposed strategy aims to enhance the performance of water pumping system driven by synchronous reluctance motor with PV system. The adaptive neuro fuzzy inference system has three main functions, high starting current without the use of linear current boosters until motor achieves pull out torque, motor voltage under safe range, and operating the PV array at the maximum power region. It intends to implement MPPT algorithm for maximum power extraction and design of a controller for motor control using available and trending algorithm.
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01 Jan 2021
TL;DR: A new model of an adaptive PID controller that is based on ANFIS based PID controller outperformed the effectiveness of the existing pump as it effectively increased the speed of pump at different irradiances conditions because it has high power extraction capability than the existing one.
Abstract: Solar photovoltaic (SPV) system is emerging as one of the most popular sustainable technologies, especially for generating electricity. The efficiency of the photovoltaic system may be substantially increased by using maximum power point tracker (MPPT). Most of the existing MPPT algorithms suffer from the drawback of being slow in tracking, due to which the utilization efficiency of SPV is reduced. This paper deals with the issues of MPPT techniques by means of a new model of an adaptive PID controller that is based on ANFIS. This helps achieve the maximized output of DC pump in terms of the speed. Further the propose controller is applied for Electrical Vehicle (EV) to determine its performance. A significant number of approaches have been designed to attain maximum power point from the solar based pump. To this end ANFIS is utilized to maximize the performance as it is an intelligent system. However, some drawbacks are observed in this system that raises the need of a novel model. Thus, in this paper, a technique is designed in which PID controller is introduced and amalgamation of ANFIS and PID makes the working of MPPT better. Also, the designed model is tested for the electrical vehicle (EV).MATLAB software is used for simulation, and results show that the designed model has the capacity to increase the motor speed as well as the state of charge (SOC) in the EV as it generates high voltage and thus consequently results in high speed for both the cases. The outcome of ANFIS based PID controller outperformed the effectiveness of the existing pump as it effectively increased the speed of pump at different irradiances conditions because it has high power extraction capability than the existing one.
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References
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TL;DR: The many different techniques for maximum power point tracking of photovoltaic (PV) arrays are discussed in this paper, and at least 19 distinct methods have been introduced in the literature, with many variations on implementation.
Abstract: The many different techniques for maximum power point tracking of photovoltaic (PV) arrays are discussed. The techniques are taken from the literature dating back to the earliest methods. It is shown that at least 19 distinct methods have been introduced in the literature, with many variations on implementation. This paper should serve as a convenient reference for future work in PV power generation.
5,022 citations
"ANFIS-DTC based solar PV water pump..." refers background in this paper
...The issues that rises with photovoltaic generator(PVG) their Non Linear Elements, that is it optimum operating point is totally depended on climate condition such as radiance, light intensity, solar radiation and variation in the load [2], [3]....
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TL;DR: In this article, the authors proposed a limit cycle control of both flux and torque using optimum PWM output voltage; a switching table is employed for selecting the optimum inverter output voltage vectors so as to attain as fast a torque response, as low an inverter switching frequency, and as low harmonic losses as possible.
Abstract: New quick-response and high-efficiency control of an induction motor, which is quite different from that of the field-oriented control is proposed. The most obvious differences between the two are as follows. 1) The proposed scheme is based on limit cycle control of both flux and torque using optimum PWM output voltage; a switching table is employed for selecting the optimum inverter output voltage vectors so as to attain as fast a torque response, as low an inverter switching frequency, and as low harmonic losses as possible. 2) The efficiency optimization in the steady-state operation is also considered; it can be achieved by controlling the amplitude of the flux in accordance with the torque command. To verify the feasibility of this scheme, experimentation, simulation, and comparison with field-oriented control are carried out. The results prove the excellent characteristics for torque response and efficiency, which confirm the validity of this control scheme.
3,316 citations
TL;DR: A sensorless three-level neutral-point-clamped inverter-fed induction motor drive is proposed and Fuzzy logic control and the speed-adaptive flux observer are introduced to enhance the performance of the system.
Abstract: A sensorless three-level neutral-point-clamped inverter-fed induction motor drive is proposed in this paper. The conventional direct torque control (DTC) switching table fails to consider the circuit limitations, such as neutral-point-balance and smooth vector switching, caused by the topology of a three-level inverter. Two kinds of modified schemes for three-level DTC are proposed to solve these problems. They also provide performance enhancement while maintaining robustness and simplicity. Fuzzy logic control and the speed-adaptive flux observer (with novel gain and load toque observation) are introduced to enhance the performance of the system. The issue of large starting current is investigated and solved by introducing the technique of preexcitation. A 32-bit fixed-point DSP-based motor drive is developed to achieve high-performance sensorless control over a wide speed range. The effectiveness of the proposed schemes is confirmed by simulation implementation and experimental validation.
256 citations
"ANFIS-DTC based solar PV water pump..." refers methods in this paper
...Later, the DTC control replaced FOC that has been applied for PMSM drives, by emerging as most preferable control technique [6, 7]....
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Icos1
TL;DR: In this article, the authors proposed two methods of maximum power point tracking using a fuzzy logic and a neural network controller for photovoltaic systems, which are validated on a 100 Wp PVP (two parallels SM50-H panel) connected to a 24 V dc load.
223 citations
"ANFIS-DTC based solar PV water pump..." refers methods in this paper
...The fuzzy output of the electromagnetic, flux linkage errors and the stator flux angle are given as variables as inputs for the (FLC) fuzzy logic controller and outputs from the FLC (fuzzy controller) as given to switching state of inverter which is a crisp value [15]....
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TL;DR: In this article, a comparison of recent research outcomes of energy efficiency improvements in pumping system has been made to provide an insight for future research, including component selection, and system dimensioning in addition to the control techniques.
207 citations
"ANFIS-DTC based solar PV water pump..." refers background in this paper
...The increased demand of renewable green and energy effective sources of energy due to weather conditions and reduction of oil reserves globally has led to the need for more effective and intelligent means of energy harvesting techniques, algorithms and methods [1]....
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