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.

Fuzzy Adaptive Setpoint Weighting Controller for WirelessHART Networked Control Systems

Abstract: Gain range limitation of conventional proportional-integral-derivative (PID) controllers has made them unsuitable for application in a delayed environment. These controllers are also not suitable for use in a Wireless Highway Addressable Remote Transducer (WirelessHART) protocol networked control setup. This is due to stochastic networkinduced delay and uncertainties such as packet dropout. The use of setpoint weighting strategy has been proposed to improve the performance of the PID in such environments. However, the stochastic delay still makes it difficult to achieve optimal performance. This chapter proposes an adaptation to the setpoint weighting technique. The proposed approach will be used to adapt the setpoint weighting structure to variation in WirelessHART network-induced delay through fuzzy inference. Result comparison of the proposed approach with both setpoint weighting and proportional-integral (PI) control strategy shows improved setpoint tracking and load regulation. For the first-, secondand third-order systems considered, analysis of the results in the time domain shows that in terms of overshoot, undershoot, rise time, and settling times, the proposed approach outperforms both the setpoint weighting and the PI controller. The approach also shows faster recovery from disturbance effect.

Fractional-order Set-Point Weighted Controllers

Abstract: In the first section of this chapter, a critical review of the PID controller and modified PID control strategies include set-point weighted PID, PI-PD, and fractional-order PID is presented. In the second section, the design of fractional-order set-point weighted PID (SWPI\(^\lambda \)D\(^\mu \)) controller will be discussed. Here, the control strategy will be developed for standard, industrial, parallel and ideal configurations of the controller. In the third section, the design of fractional-order PI-PD (PI\(^\lambda \)-PD\(^\mu \)) controller in two single-loop control configurations are presented. In both cases, the conversion of controller parameters between various control strategies is presented. The next succeeding sections of the chapter will present the case studies on real-time pH neutralization and pressure processes for the implementation and evaluation of designed fractional-order set-point weighted PID control strategies. Finally, the last section will summarize the chapter.

Reliable Prediction Intervals of PV Generation Using Quantile Regression Averaging Approach

Abstract: Probabilistic PV generation forecasts are necessary for the uncertainty management in the long-term planning of power systems with PV integrations. The weather-dependent PV generation makes it a challenging task necessitating a nonparametric approach, such as quantile regression, for obtaining probabilistic forecasts. Here, a quantile regression averaging approach is used to combine the selective point forecasts of autoregressive conditional heteroscedastic model, random forests model, and multiple linear regression model to further enhance the forecast accuracy. The selection of sensible regressors with physical relevance is necessary for the proposed framework. Hence, such theoretically formulated regressors capable of modeling real-world PV generation data collected from the USA are utilized for assessing the efficacy of the proposed quantile regression averaging model. The reliabilities of the prediction intervals of the proposed model is compared with the popular quantile regression forests, the quantile k-nearest neighbors, and the basic quantile regression approaches via widely used performance indices.

Development of Hybrid Algorithm Using Moth-Flame and Particle Swarm Optimization

Abstract: This paper focuses on the development of a hybrid algorithm using moth-flame and particle swarm optimization. The main aim of the proposed algorithm is to improve the conventional moth-flame algorithm's performance for obtaining the faster convergence speed and best global optimal solution. Also, the proposed algorithm is to enhance the performance of particle swarm on getting global searchability. The proposed hybrid optimization algorithm's performance is evaluated on solving the well-known benchmark functions. The results show that the proposed hybrid optimization performed better than conventional moth-flame and particle swarm algorithms to obtain the best optimal solution with faster convergence.

Design and Analysis of Complex Fractional-order PID Controllers

Abstract: This paper is focused on the design of a complex fractional-order differentiator and integrator for the order $\alpha+j\beta$ . Furthermore, for these differentiators and integrators' practical realization, an approximation using a curve fitting-based iterative algorithm is proposed. The design of various complex fractional PID controllers using the proposed differentiator and integrator has been presented. The simulation study results show that the designed controllers with complex orders have produced a steady behavior equivalent to fractional controllers' behavior. The step response characteristics on the process plant also show that the designed controllers performed well in controlling the process.

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.