Double-channel event-triggered adaptive optimal control of active suspension systems

被引：14

作者：

Deng, Yingjie ^{[1
]}

Gong, Mingde ^{[1
]}

Ni, Tao ^{[2
]}

机构：

[1] Yanshan Univ, Sch Mech Engn, Hebei Prov Key Lab Heavy Machinery Fluid Power Tr, Qinhuangdao 066044, Hebei, Peoples R China

[2] Yanshan Univ, Sch Vehicle & Energy, Qinhuangdao 066044, Hebei, Peoples R China

来源：

NONLINEAR DYNAMICS | 2022年 / 108卷 / 04期

基金：

中国国家自然科学基金; 美国国家科学基金会;

关键词：

Double-channel event-triggered control (ETC); Adaptive dynamic programming (ADP); Jumps of virtual control laws (JVCL); Active suspension systems; POLICY ITERATION; DESIGN;

D O I：

10.1007/s11071-022-07360-3

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

An event-triggered adaptive fuzzy optimal control strategy is proposed for a quarter-car electromagnetic active suspension system, where the stiffness and the road input are unknown. The event-triggered mechanism is utilized in both sensor-to-controller (SC) and controller-to-actuator (CA) channels, such that communication saving is achieved in double channels. Two separate triggering conditions are constructed to guarantee optimal performance and stability. Via the reinforcement learning (RL) method, the critic-actor architecture of fuzzy logic systems (FLSs) is constructed to approximate the solution of Hamilton-Jacobi-Bellman (HJB) equation, where there are two critics with one actor. To overcome the "jumps of virtual control laws" (JVCL) problem arising in the backstepping-based ETC (see Deng et al. in ISA Trans. 117:28-39 (2021)), undetermined continuous virtual control laws are constructed for analysis. An event-triggered adaptive observer is fabricated to estimate the unknown road input. It is proved that all the estimating and tracking errors are semi-globally uniformly ultimately bounded (SGUUB). Simulation verifies the effectiveness of the proposed scheme.

引用

页码：3435 / 3448

页数：14

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