4.6 Article

Extended Exploration Grey Wolf Optimization, CFOA-Based Circuit Implementation of the sigr Function and its Applications in Finite-Time Terminal Sliding Mode Control

期刊

IEEE ACCESS
卷 11, 期 -, 页码 88388-88402

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2023.3305943

关键词

Mathematical models; Sliding mode control; Synchronization; Chaotic communication; Convergence; Transfer functions; Statistics; Heuristic algorithms; Heuristic optimization; grey wolf optimization (GWO); sigr function; terminal sliding mode control

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This paper investigates the use of the sigr function in the implementation of finite-time terminal sliding mode control in closed-loop circuit realizations of chaotic synchronization and control. A CFOA-based implementation of the sigr function is proposed, and an Extended Exploration Grey Wolf Optimization method is used to approximate the non-integer powered transfer function inside the sigr function. Two closed-loop circuit realizations of second- and third-order systems demonstrate the effectiveness of the developed sigr function in achieving finite-time terminal sliding mode control.
The development of closed-loop circuit realizations of chaotic synchronization and control is considered a promising aspect of analog electronics. Therefore, this paper explores the use of the sigr function in the implementation of finite-time terminal sliding mode control. A CFOA-based implementation of the sigr function is proposed, whereby an Extended Exploration Grey Wolf Optimization method is used to approximate the non-integer powered transfer function inside the sigr function. This configuration also allows for a parallel configuration in which each coefficient of the transfer function can be independently and elaborately tuned. Two closed-loop circuit realizations of second- and third-order systems are presented to demonstrate the effectiveness of the developed sigr function to achieve finite-time terminal sliding mode control. For the second-order system, the terminal sliding mode control is applied to stabilize the chaos in the Holmes-Duffing system in finite time, and for the third-order system, active stabilization of the modified Sprott-C chaotic system is presented. The results show that finite-time control has been satisfactorily achieved in both cases, both in computer simulations and in circuit implementations. Specifically, the second-order closed-loop circuit implementation yielded a maximum error of 1.11%, while the third-order closed-loop circuit implementation had a maximum error of 2.89%.

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