Modeling and simulation of adaptive fuzzy controller for full car model based nonlinear vehicle active suspension

Abstract

The vehicle suspension is responsible for ride comfort and newlinestability as the suspension system carries the vehicle mass and transmits all newlineforces between body and road. By adding a variable damper, driving comfort newlineand stability are considerably improved as compared to suspension setups newlinewith fixed properties. In order to positively influence these properties, semiactive newlineand active components are introduced, which enable the suspension newlinesystem to adapt various driving conditions. The design of suspension system newlineinvolves optimization process as it is not possible to provide both ride newlinecomfort and stability simultaneously. Thus, a better suspension can be newlinedesigned through an optimization process to provide optimum ride comfort newlineand optimum road safety for vehicle.Initially, model based controller is designed with quarter car newlinemodel for active suspension. But it cannot be used to measure the pitch and newlineroll motion of vehicle. Both quarter car and half car model does not model newlinethe actual system for practical applications. Hence, an accurate model for the newlineactual system needs a full car model with seven degrees of freedom. The newlineinherent complex nonlinear full car model for active suspension and the newlinepresence of parameter uncertainties in actuator dynamics have increased the newlinedifficulties in applying conventional linear control techniques to full car newlinemodel based hydraulic actuated active suspension system. newline newline