A switched extremum seeking control without steady-state oscillation using gradient-based adaptive-amplitude perturbation

被引：1

作者：

Chu, Minghui ^{[1
]}

Huo, Xin ^{[1
,2
]}

Ma, Kemao ^{[1
]}

Liu, Weizhen ^{[1
]}

机构：

[1] Harbin Inst Technol, Control & Simulat Ctr, Sch Astronaut, Harbin 150001, Peoples R China

[2] 2 Yikuang St, Harbin 150001, Peoples R China

来源：

ISA TRANSACTIONS | 2023年 / 141卷

基金：

黑龙江省自然科学基金;

关键词：

Switched ESC; Adaptive amplitude; Hybrid gradient information; Bisection method; PERFORMANCE ANALYSIS; STABILITY; SYSTEMS; DESIGN;

D O I：

10.1016/j.isatra.2023.06.036

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To enhance the steady-state and dynamic performance of the extremum seeking control (ESC), a switched ESC scheme is proposed in this paper. Firstly, to solve nonconvex optimization problems, a novel adaptive law for perturbation is established utilizing the hybrid gradient information to accomplish a trade-off between the dynamic and steady-state performance. It is shown that the adaptive-amplitude ESC achieves global optimization despite the existence of local extrema. Then, to overcome the adverse effect of inaccurate gradient estimation on steady-state accuracy, a Lyapunovbased switched strategy is employed to start the bisection-based ESC. The plant output converges to the equilibrium rapidly and accurately without steady-state oscillation. Furthermore, the stability of the proposed scheme is theoretically proved. Numerical simulation examples are carried out to demonstrate the effectiveness of the proposed scheme. (c) 2023 ISA. Published by Elsevier Ltd. All rights reserved.

引用

页码：314 / 325

页数：12