A novel design of optimal intelligent fuzzy TID controller employing GA for nonlinear level control problem subject to actuator and system component fault

Patel, Himanshukumar R.; Raval, Sejal; Shah, Viral B.

doi:10.1108/ijicc-11-2020-0174

Cited by 22 publications

(11 citation statements)

References 25 publications

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“…FO controllers such as TID and ID-T have proliferated due to their flexibility in designing and stability, particularly with dynamical systems [25]. They include extra tuning parameters compared with conventional PID controller, which reduces processing in optimum parameters demonstration [26]. FO controllers are distinguished with more expanded freedom in tuning for system stabilizing, so researchers have a great interest in such controllers [27].…”

Section: Contribution and Paper Organizationmentioning

confidence: 99%

A Complete Affordable Control System for Remote Astronomical Observing Accompanied by an Intelligent Controller

et al. 2022

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This paper comprises two studies; the first one provides an advanced and low-cost implementation for a remote astronomical platform applicable for small and medium-sized telescopes. It has been carried out for the 14-inch observatory, which includes a Celestron German Equatorial (CGE) telescope at the Kottamia astronomical observatory (KAO) in Egypt. This integrated control system is based on embedded systems, internet of things (IoT) technology, row packets communication procedure, and the Transmission Control Protocol (TCP) based on the Internet Protocol (IP). Using this platform, remote astronomers could control the whole system, observe, receive images and view them efficiently and safely without any human physical intervention. The proposed design has been achieved without dependence on commercial control kits or software. Indeed, many previous studies have focused on this field; however, their area of interest was limited or non-affordable. The excellence in this practical research is revealed and compared with others in terms of cost, inclusiveness, and communication speed. The other contribution of this research is to enhance the performance of the telescope pointing and tracking to be adapted with remote action. It has been achieved based on the mathematical model of the telescope where two fractional controllers have been applied, tilt integral-derivative (TID) and integral derivative-tilted (ID-T) controllers. After that, they have been optimized using a recent optimization algorithm called peafowl optimization algorithm (POA) and compared with one of the well-known algorithms; particle swarm optimization (PSO). Simulation results under the MATLAB/SIMULINK environment reveal that modified ID-T-based POA has minimized the pointing error sharply. Moreover, compared with previous studies, it has significantly improved the telescope system characteristics represented in the times of overshoot, settling, and rising.INDEX TERMS Remote telescope, integral derivative-tilted controller, peafowl optimization algorithm.

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Section: Contribution and Paper Organizationmentioning

confidence: 99%

A Complete Affordable Control System for Remote Astronomical Observing Accompanied by an Intelligent Controller

et al. 2022

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“…In recent years, fractional calculus has been widely used in mechanics, control, signal processing, power electronics and other fields (Tabak, 2021; Patel et al , 2021; Jiang et al , 2022; Kanagaraj and Jha, 2021; Siddiqui et al , 2022). As early as 1964, Carlson and Halijak.…”

Section: Introductionmentioning

confidence: 99%

Fractional equivalent circuit model and parameter identification of reactance components in high-frequency operation

Chen

Zhang

et al. 2023

COMPEL

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Purpose The purpose of this paper is to find a simpler model for the reactance components in the high-frequency range on the premise of ensuring the accuracy. Design/methodology/approach In this paper, based on the fractional calculus theory and the traditional integer-order model, a reactance model suitable for high frequency is constructed, and the mutation cross differential evolution algorithm is used to identify the parameters in the model. Findings By comparing the integer-order model, high-frequency fractional-order model and the actual impedance characteristic curve of inductance and capacitance, it is verified that the proposed model can more accurately reflect the high-frequency characteristics of inductance and capacitance. The simulation and experimental results show that the oscillator constructed based on the proposed model can analyze the frequency and output waveform of the oscillator more accurately. Originality/value The model proposed in this paper has a simple structure and contains only two parameters to be identified. At the same time, the model has high precision. The fitting errors of impedance curve and phase-frequency characteristic curve are less than 5%. Therefore, the proposed model is helpful to improve the simplicity and accuracy of circuit system analysis and design.

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“…In Cuevas et al (2021b), the authors describe the application of a variant of the shark smell optimization (VSSO) biological inspired algorithm in the optimal design of a type-2 fuzzy controller, and thereafter optimized controller is tested with the navigation of an AMR in an unknown and changing environment, in Cuevas et al (2021a), the prime objective of the research work is to outline the design and implementation of tracking and position control with a new approach to intelligent navigation in omnidirectional mobile robots (OMR) using type-2 fuzzy systems to control their response actions, due to distinct advantages such as handling of modeling and parameter uncertainties of the interval type-2 fuzzy sets and adding the experience of a human expert in the formation of a fuzzy knowledge IJICC 15,4 base that allows us to describe the relationship between input and output of the system (Patel and Shah, 2019b). Fault-tolerant control application is presented for nonlinear level control process using fractional-order fuzzy TID controller with metaheuristic GA in Patel et al (2021), Patel and Shah (2022) with simulation and statistical results.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-based metaheuristic algorithm for optimization of fuzzy controller: fault-tolerant control application

Patel

2022

IJICC

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PurposeFuzzy-based metaheuristic algorithm is used to optimize the fuzzy controllers for the nonlinear level control system subject to uncertainty specially in the main actuator that has lost effectiveness (LOE). To optimize the fuzzy controller, type-1 harmonic search (HS) and interval type-2 (HS) will be used.Design/methodology/approachThe type-1 and type-2 fuzzy-based HS algorithms are designed for optimization of fuzzy controllers for Fault-Tolerant Control (FTC) applications, and this research proposes a fuzzy-based HS metaheuristic method. The performance of a fuzzy logic-based HS algorithm applied to a nonlinear two-tank level control process with a main actuator that has lost effectiveness (LOE) and also the same controller will be tested on DC motor angular position control with and without noise.FindingsThe key contribution of this work is the discovery of the best approach for generating an optimal vector of values for the fuzzy controller's membership function optimization. This is done in order to improve the controller's performance, bringing the process value of the two-tank level control process closer to the target process value (set point). It is worth noting that the type-1 fuzzy controller that has been optimized is an interval type-2 fuzzy system, which can handle more uncertainty than a type-1 fuzzy system.Originality/valueThe type-1 and type-2 fuzzy-based HS algorithms are designed for optimization of fuzzy controllers for FTC applications, and this research proposes a fuzzy-based HS metaheuristic method. The performance of a fuzzy logic-based HS algorithm applied to a nonlinear two-tank level control process with a main actuator that has LOE will be tested on DC motor angular position control with noise. Two nonlinear uncertain processes are used to demonstrate the effectiveness of the proposed control scheme.

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A novel design of optimal intelligent fuzzy TID controller employing GA for nonlinear level control problem subject to actuator and system component fault

Cited by 22 publications

References 25 publications

A Complete Affordable Control System for Remote Astronomical Observing Accompanied by an Intelligent Controller

A Complete Affordable Control System for Remote Astronomical Observing Accompanied by an Intelligent Controller

Fractional equivalent circuit model and parameter identification of reactance components in high-frequency operation

Fuzzy-based metaheuristic algorithm for optimization of fuzzy controller: fault-tolerant control application

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