Journal
SIMULATION MODELLING PRACTICE AND THEORY
Volume 17, Issue 5, Pages 778-793Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.simpat.2009.01.004
Keywords
PID controller; Neural networks; Whole vehicle's suspension; Robust controller
Funding
- TUBITAK [TUBITAK-10510224]
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The main problem of vehicle vibration comes from road roughness. For that reason, it is necessary to control vibration of vehicle's suspension by using a robust artificial neural network control system scheme. Neural network based robust control system is designed to control vibration of vehicle's suspensions for full suspension system. Moreover. the full vehicle system has seven degrees of freedom on the vertical direction of vehicle's chassis, on the angular variation around X-axis and on the angular variation around Y-axis. The proposed control system is consisted of a robust controller, a neural controller, a model neural network of vehicle's suspension system. On the other hand, standard PID controller is also used to control whole vehicle's suspension system for comparison. Consequently, random road roughnesses are used as disturbance of control system. The simulation results are indicated that the proposed control system has superior performance at adapting random road disturbance for vehicle's suspension. (C) 2009 Elsevier B.V. All rights reserved.
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