Intelligent Compound Control of Vehicle Active Suspension Based on RBF Neural Network

A novel compound controller is developed for the vehicle active suspension with an electro-hydraulic actuator. The models of the actuator and the quarter vehicle are both first established. A compound controller is designed to utilize RBF neural network approximate the output of PID, and to combine PID algorithm with a RBF neural network output as its control laws. This controller synthesizes both the simplicity advantage of PID algorithm and the fast and accurate approximation merit of RBF neural network. Simulations are completed to verify the performance the proposed control algorithms.