Universiti Teknologi Malaysia Institutional Repository

Vehicle active suspension system using skyhook adaptive neuro active force control

Priyandoko, Gigih and Mailah, Musa and Jamaluddin, H. (2009) Vehicle active suspension system using skyhook adaptive neuro active force control. Mechanical Systems and Signal Processing, 23 (3). pp. 855-868. ISSN 0888-3270

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Official URL: http://dx.doi.org/10.1016/j.ymssp.2008.07.014

Abstract

This paper aims to highlight the practical viability of a new and novel hybrid control technique applied to a vehicle active suspension system of a quarter car model using skyhook and adaptive neuro active force control (SANAFC). The overall control system essentially comprises four feedback control loops, namely the innermost proportional-integral (PI) control loop for the force tracking of the pneumatic actuator, the intermediate skyhook and active force control (AFC) control loops for the compensation of the disturbances and the outermost proportional-integral-derivative (PID) control loop for the computation of the optimum target/commanded force. A neural network (NN) with a modified adaptive Levenberg-Marquardt learning algorithm was used to approximate the estimated mass and inverse dynamics of the pneumatic actuator in the AFC loop. A number of experiments were carried out on a physical test rig using a hardware-in-the-loop configuration that fully incorporates the theoretical elements. The performance of the proposed control method was evaluated and compared to examine the effectiveness of the system in suppressing the vibration effect on the suspension system. It was found that the simulation and experimental results were in good agreement, particularly for the sprung mass displacement and acceleration behaviours in which the proposed SANAFC scheme is found to outperform the PID and passive counterparts

Item Type:Article
Uncontrolled Keywords:Active suspension; Quarter car model; Active force control; Skyhook; Neural network; Hardware-in-the-loop
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:7079
Deposited By: Mohamad Ali Duki
Deposited On:30 Apr 2009 01:30
Last Modified:21 Dec 2010 09:02

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