Title :
An application of explicit self-tuning controller to vehicle active suspension systems
Author :
Sunwoo, Myoungho ; Cheok, Ka C.
Author_Institution :
GM Res. Lab., Warren, MI, USA
Abstract :
The authors present an application of an explicit adaptive control (EAC) for an active suspension system which adapts and provides superior ride comfort and racing vehicle performance in the presence of variations in suspension components and sprung load over harsh road conditions. The proposed EAC is based on a self-tuning controller design which is unique to the active suspension application. It consists of online low-order recursive parameter estimation utilizing strategic sensors, closed-form algebraic gain, computation, and manipulation for the control parameter. It is shown that the EAC-based active suspension system improves suspension system performance and shows an excellent adaptability over system variance and perturbation
Keywords :
adaptive control; parameter estimation; road vehicles; self-adjusting systems; closed-form algebraic gain; explicit self-tuning controller; harsh road conditions; online low-order recursive parameter estimation; racing vehicle performance; ride comfort; sprung load; vehicle active suspension systems; Adaptive control; Application software; Automotive engineering; Control systems; Convergence; Open loop systems; Optimal control; Parameter estimation; Programmable control; Road vehicles;
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
DOI :
10.1109/CDC.1990.204025