Design of an active suspension system based on a biological model

Author

Chang, Shih-Lang ; Wu, Chi-Haur

Author_Institution

Dept. of Electr. & Comput. Sci., Northwestern Univ., Evanston, IL, USA

Volume

5

fYear

1997

fDate

4-6 Jun 1997

Firstpage

2915

Abstract

Motivated by the walking capabilities of human limb, this paper presents a design of active suspension based on a developed neuromuscular-like control. The underlying mechanism was inspired by modeling the nonlinear damping property of the biological muscle-reflex system. Simulations performed with a quarter-car model verified the feasibility of controlling an active suspension. To optimize the suspension performance, the least-mean-square (LMS) algorithm was applied to determine the proper values for the control parameters in the developed model. In addition, two design methodologies using the model to control an active suspension system were also proposed. Simulation results on a quarter-car model demonstrated the superior effectiveness of the neuromuscular-like model in controlling an active suspension system

Keywords

control system synthesis; damping; least mean squares methods; nonlinear control systems; road vehicles; vibration control; LMS algorithm; active suspension system; active suspension system design; biological model; biological muscle-reflex system; human limb; least-mean-square algorithm; neuromuscular-like control; nonlinear damping property; quarter-car model; walking capabilities; Biological system modeling; Control systems; Damping; Knee; Legged locomotion; Muscles; Rough surfaces; Shock absorbers; Springs; Surface roughness;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1997. Proceedings of the 1997

Conference_Location

Albuquerque, NM

ISSN

0743-1619

Print_ISBN

0-7803-3832-4

Type

conf

DOI

10.1109/ACC.1997.611991

Filename

611991