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ROBUST PID CONTROLLER DESIGN FOR ACTIVE VEHICLE SUSPENSION BASED ON PARTICLE SWARM OPTIMIZATION | ||
| AL-TAQANI | ||
| Article 1, Volume 28, Issue 1, 2015, Pages 0-0 | ||
| Authors | ||
| Hayder Sabah Abad Al-Amir; Abdullah Dhayea Assi | ||
| Abstract | ||
| This paper presents a robust PID neural controller based on particle swarm optimization for a four degree of freedom of half-car active vehicle suspension system .The scheme of the discrete-time PID control structure is based on neural network and tuned the parameters of the robust PID neural controller by using a particle swarm optimization PSO technique as a simple and fast training algorithm. The robust PID controller is tested at two road profiles, bump and ramp. Simulation results show that the present controller can reduce the peak overshoot and transient period of the displacement, pitch angle acceleration of the vehicle body under different road conditions and vehicle speeds compared to passive suspension system. So the ride comfort and road holding ability will improve during the drive. | ||
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