Fuzzy Approximation-Based Fractional-Order Nonsingular Terminal Sliding Mode Controller for DC-DC Buck Converters

被引：56
作者：
Babes, Badreddine [1 ]
Mekhilef, Saad [2 ,3 ]
Boutaghane, Amar [1 ]
Rahmani, Lazhar [4 ]
机构：
[1] Res Ctr Ind Technol, Algiers 16014, Algeria
[2] Swinburne Univ Technol, Hawthorn, Vic 3122, Australia
[3] Univ Malaya, Fac Engn, Dept Elect Engn, Power Elect & Renewable Energy Res Lab, Kuala Lumpur 50603, Malaysia
[4] Univ Setif 1, Fac Technol, Dept Elect Engn, Setif 390001, Algeria
来源：
IEEE TRANSACTIONS ON POWER ELECTRONICS | 2022年 / 37卷 / 03期
关键词：
Buck converters; Calculus; Uncertainty; Heuristic algorithms; Voltage control; Convergence; Fuzzy logic; Adaptive fuzzy logic system; chattering reduction; dc-dc buck converter; finite time convergence; fractional-order calculus; fractional-order nonsingular terminal sliding mode control (FO-NTSMC); CONTROL STRATEGY; CONTROL DESIGN;
D O I：
10.1109/TPEL.2021.3114277
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This article presents a simple and systematic approach to synthesize a robust adaptive fuzzy fractional-order nonsingular terminal sliding mode controller (AFFO-NTSMC) to improve the output voltage tracking control performance of the dc-dc buck converters. The hybrid control method of fractional-order (FO) calculus and NTSMC are combined to create a FO-NTSMC, in which a new FO nonsingular terminal sliding mode surface is established. The idea behind this strategy is the increased flexibility achieved by FO calculation, improving robustness to disturbances and parameters variations provided by the traditional sliding mode controllers as well as finite time convergence properties of the output voltage error to the equilibrium point during the output load changes, simultaneously. In addition, a fuzzy logic system with online adaptive learning algorithm is designed to provide smooth chattering in switching control signal. The stability of the closed-loop system is carefully demonstrated by Lyapunov's theorem. Experimental measurements from a laboratory prototype are presented to demonstrate the effectiveness of the proposed AFFO-NSTSMC algorithm.
引用
收藏
页码：2749 / 2760
页数：12
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