Kishore Bingi

Bio: Kishore Bingi is an academic researcher from VIT University. The author has contributed to research in topics: PID controller & Control theory. The author has an hindex of 8, co-authored 63 publications receiving 335 citations. Previous affiliations of Kishore Bingi include Universiti Teknologi Petronas & Petronas.

Curve Fitting-Based Approximation of Fractional Differentiator with Complex Orders

Abstract: This paper is focused on the design of fractional differentiator for complex orders of $\alpha+j\beta$ where $\alpha\in[0,1]$ and $\beta\in\Re$ . Furthermore, for the practical realization of these fractional differentiators of complex orders, curve fitting-based approximation using Sanathanan-Koerner iteration is proposed. The fractional differentiator results with complex orders show that the proposed approximation is effectively handled both positive and negative imaginary parts of the complex orders. Furthermore, the results on fractional-integrator, PID controller, and low pass filter with complex orders show that the proposed technique has produced better approximation for the range $\omega$ in [ $\omega_{l},\omega_{h}$ ]. The results also show that introducing an additional parameter has given more flexibility to obtain its robust performance.

Comparison Between Wired and WirelessHART Networked PID Control of Process Flow

Abstract: The application of wireless technology for process monitoring and control comes with the advantages of flexibility, reliability and reduced cost of cabling. However, it also comes with problem of network-induced delays as a result of using wireless transmitters. Therefore, this paper investigates the effect of using WirelessHART network on the control performance of pilot flow plant. The plant will be controlled using PI, PID and Fuzzy PID controllers both wired and over WirelessHART network. Experimental results of the controllers shows that, the performance of these controllers is degraded when the control is done over WirelessHART network. This is in terms of imposed deadtime, slower settling and rise times. However, control is still possible over the wireless network.

Prediction of Turbidity in Beach Waves Using Nonlinear Autoregressive Neural Networks

Abstract: The principal focus of this paper is to develop a prediction model to predict the turbidity of beach waves. The prediction model is developed using a nonlinear autoregressive neural network model using three input parameters: water temperature, wave height, and wave period. The beach wave turbidity is predicted without installing any additional sensors. The performance of the developed model is evaluated on three beaches in Chicago Park’s district. The proposed model performance showed better tracking ability for all the three considered beaches. The R2 and mean square errors MSE also confirm the best prediction model’s performance for both training and testing.

Signal noise filter structure selection for predictive PI controller in a wireless networked control setting

Abstract: The predictive proportional integral (PPI) controller being simple and non conservative like its Smith predictor and internal model control (IMC) counterparts, has the ability to be employed in environments characterised by uncertainties such as stochastic network delays. However, its performance degrades in the presence of measurement noise. This is due to the prediction involve in the controller which acts like the derivative term of PID controller that amplifies high frequency noise. This necessitated the need for additional filtering of the noisy signals. Therefore, this work proposes three several filter configurations for PPI controller in a wireless environment. Simulation results shows that placing the filter within the PPI controller gives smooth control signal that can yield better control performance compared to both feedback and cascade filter configurations.

Hybrid APSO–Spiral Dynamic Algorithm

Abstract: The accelerated particle swarm optimisation (APSO) is an improved variant of the PSO algorithm that guarantees convergence through the use of only global best to update both velocity and position of particles.

Energy Harvesting Technologies for Achieving Self-Powered Wireless Sensor Networks in Machine Condition Monitoring: A Review.

Abstract: Condition monitoring can reduce machine breakdown losses, increase productivity and operation safety, and therefore deliver significant benefits to many industries. The emergence of wireless sensor networks (WSNs) with smart processing ability play an ever-growing role in online condition monitoring of machines. WSNs are cost-effective networking systems for machine condition monitoring. It avoids cable usage and eases system deployment in industry, which leads to significant savings. Powering the nodes is one of the major challenges for a true WSN system, especially when positioned at inaccessible or dangerous locations and in harsh environments. Promising energy harvesting technologies have attracted the attention of engineers because they convert microwatt or milliwatt level power from the environment to implement maintenance-free machine condition monitoring systems with WSNs. The motivation of this review is to investigate the energy sources, stimulate the application of energy harvesting based WSNs, and evaluate the improvement of energy harvesting systems for mechanical condition monitoring. This paper overviews the principles of a number of energy harvesting technologies applicable to industrial machines by investigating the power consumption of WSNs and the potential energy sources in mechanical systems. Many models or prototypes with different features are reviewed, especially in the mechanical field. Energy harvesting technologies are evaluated for further development according to the comparison of their advantages and disadvantages. Finally, a discussion of the challenges and potential future research of energy harvesting systems powering WSNs for machine condition monitoring is made.

Applications of Fractional Calculus

Abstract: Explicit formula and graphs of few special functions are derived in the paper on the basis of various definitions of various fractional derivatives and various fractional integrals. Their applications are also reviewed in the paper.

Applications of variable-order fractional operators: a review

Abstract: Variable-order fractional operators were conceived and mathematically formalized only in recent years. The possibility of formulating evolutionary governing equations has led to the successful application of these operators to the modelling of complex real-world problems ranging from mechanics, to transport processes, to control theory, to biology. Variable-order fractional calculus (VO-FC) is a relatively less known branch of calculus that offers remarkable opportunities to simulate interdisciplinary processes. Recognizing this untapped potential, the scientific community has been intensively exploring applications of VO-FC to the modelling of engineering and physical systems. This review is intended to serve as a starting point for the reader interested in approaching this fascinating field. We provide a concise and comprehensive summary of the progress made in the development of VO-FC analytical and computational methods with application to the simulation of complex physical systems. More specifically, following a short introduction of the fundamental mathematical concepts, we present the topic of VO-FC from the point of view of practical applications in the context of scientific modelling.

Network Protocols, Schemes, and Mechanisms for Internet of Things (IoT): Features, Open Challenges, and Trends

Abstract: Internet of Things (IoT) constitutes the next step in the field of technology, bringing enormous changes in industry, medicine, environmental care, and urban development. Various challenges are to be met in forming this vision, such as technology interoperability issues, security and data confidentiality requirements, and, last but not least, the development of energy efficient management systems. In this paper, we explore existing networking communication technologies for the IoT, with emphasis on encapsulation and routing protocols. The relation between the IoT network protocols and the emerging IoT applications is also examined. A thorough layer-based protocol taxonomy is provided, while how the network protocols fit and operate for addressing the recent IoT requirements and applications is also illustrated. What is the most special feature of this paper, compared to other survey and tutorial works, is the thorough presentation of the inner schemes and mechanisms of the network protocols subject to IPv6. Compatibility, interoperability, and configuration issues of the existing and the emerging protocols and schemes are discussed based on the recent advanced of IPv6. Moreover, open networking challenges such as security, scalability, mobility, and energy management are presented in relation to their corresponding features. Lastly, the trends of the networking mechanisms in the IoT domain are discussed in detail, highlighting future challenges.