Reducing Displacement of Spring Mass in Active Vehicle Suspension System Using Sliding Mode Controller Based on Disturbance Observer
محورهای موضوعی : مهندسی هوشمند برق
Mohammad Vatankhah
1
(Najafabad Branch, Islamic Azad University)
Mohammad Yousefi
2
(Najafabad Branch, Islamic Azad University)
Sayyed Mohammad Mehdi Mirtalaei
3
(Najafabad Branch, Islamic Azad University)
Zahra Alale
4
(Najafabad Branch, Islamic Azad University)
کلید واژه: particle swarm optimization, Active Suspension, disturbance observer, higher order sliding mode controller,
چکیده مقاله :
The main cause of oscillation during the movement of the vehicle is the unevenness of the road. Therefore, in order to maintain the stability of the car in swing states, the suspension system plays an essential role. Therefore, the active suspension system is used to replace the conventional passive suspension system, to improve comfort and smoothness. To reduce the displacement of the spring mass in the active vehicle suspension system, a high-order sliding mode controller is proposed in this paper. Uncertainty of system parameters, nonlinear characteristic of damping and spring, load changes and unknown path disturbance are estimated by disturbance observer. The controller only needs the information of the spring mass state variables and therefore does not need separate sensors to measure the suspension mass state variables. Particle swarm optimization algorithm has been used to determine the control parameters. The efficiency of the proposed method has been shown using simulation in MATLAB software and the results have been compared with the passive suspension system.
The main cause of oscillation during the movement of the vehicle is the unevenness of the road. Therefore, in order to maintain the stability of the car in swing states, the suspension system plays an essential role. Therefore, the active suspension system is used to replace the conventional passive suspension system, to improve comfort and smoothness. To reduce the displacement of the spring mass in the active vehicle suspension system, a high-order sliding mode controller is proposed in this paper. Uncertainty of system parameters, nonlinear characteristic of damping and spring, load changes and unknown path disturbance are estimated by disturbance observer. The controller only needs the information of the spring mass state variables and therefore does not need separate sensors to measure the suspension mass state variables. Particle swarm optimization algorithm has been used to determine the control parameters. The efficiency of the proposed method has been shown using simulation in MATLAB software and the results have been compared with the passive suspension system.
