Control of Vehicle Active Suspension System Using Neural Network

Document Type : Original Article

Authors

1 Masters Student, Control Engineering, Iran University of Science and Technology, Tehran, Iran.

2 Masters Student, Control Engineering, Iran University of Science and Technology, Tehran, Iran

Abstract

 
 
*Seyede Zohre Ahmadi SheykhShabani1,  Donya Sheikhi

Masters student, Control Engineering, Iran University of Science and Technology, Tehran, E-mail: zohreahmadi9574@gmail.com
Masters student, Control Engineering, Iran University of Science and Technology, Tehran, E-mail:

 
Corresponding Author: Seyede Zohre Ahmadi SheykhShabani, Masters student, Control Engineering, Iran University of Science and Technology, Tehran, E-mail: zohreahmadi9574@gmail.com
 
Conflict of interest: The authors declare that they have no conflict of interest.
 
 
The primary cause of vehicle vibration stems from road irregularities. Addressing this, an effective strategy involves implementing a robust artificial neural network control system to manage the vehicle suspension system's vibrations. To achieve comprehensive vibration control for the entire suspension system, a robust neural network-based control system is employed. The complete vehicle system operates with 7 degrees of freedom, encompassing vertical axis motion, angular variations around the X axis, and angular changes around the Y axis of the car chassis. The proposed control system integrates a robust controller, a neural controller, and a neural network model tailored for the vehicle suspension system. To assess simulation outcomes, a proportional integral derivative (PID) controller is utilized for overall vehicle suspension system vibration control. The study introduces random road roughness as a disturbance factor applied to the proposed control system. Simulation results affirm that the suggested neural control system demonstrates highly effective control performance, with minimal error in adapting to unexpected road disturbances affecting the vehicle suspension.

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