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Proceedings Paper

Adaptive control model of an active automobile suspension system
Author(s): Matthew Fritz; Donald C. Wunsch; Sunanda Mitra
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Paper Abstract

The suspension system of a passenger car provides isolation between the occupants in the car and the road surface. The three goals of the suspension system are to provide ride isolation from vibration, limit suspension travel, and maintain road holding characteristics. Each of these three goals conflicts with the others. Thus, the controller must be designed to attain each goal to some extent. This paper proposes the use of a linear quadratic regulator and a fuzzy controller to maintain the ride isolation of a loosely sprung, lightly damped passive suspension while improving the handling characteristics of the vehicle. The suspension performance as pertains to ride isolation can be studied using a simple quarter car model of a suspension system. However, the handling characteristics and the coupling between each quarter of the suspension system must be studied using a full car model. Thus, this paper uses both a quarter car and a full car model to study the performance of suspension systems. The performance of the suspension systems is evaluated by running simulations of the systems subjected to both discrete and random road inputs. This paper shows that an active suspension using a linear full state feedback controller performs better than a passively suspended vehicle. The optimally controlled active suspension system is also compared to a fuzzy controlled active suspension system and the results are discussed.

Paper Details

Date Published: 22 December 1993
PDF: 12 pages
Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); doi: 10.1117/12.165049
Show Author Affiliations
Matthew Fritz, Texas Tech Univ. (United States)
Donald C. Wunsch, Texas Tech Univ. (United States)
Sunanda Mitra, Texas Tech Univ. (United States)

Published in SPIE Proceedings Vol. 2061:
Applications of Fuzzy Logic Technology
Bruno Bosacchi; James C. Bezdek, Editor(s)

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