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The main purpose of using the suspension system in vehicles is to prevent the road disturbance from being transmitted to the passengers. Therefore, a precise controller should be designed to improve the performances of suspension system. This paper presents a modeling and control of the nonlinear full vehicle active suspension system with passenger seat utilizing Fuzzy Model Reference Learning Control (FMRLC) technique. The components of the suspension system are: damper, spring and actuator, all of those components have nonlinear behavior, so that, nonlinear forces that are generated by those components should be taken into account when designed the control system. The designed controller consumes high power so that when the control system is used, the vehicle will consume high amount of fuel. It notes that, when vehicle is driven on a rough road; there will be a shock between the sprung mass and the unsprung mass. This mechanical power dissipates and converts into heat power by a damper. In this paper, the wasted power has reclaimed in a proper way by using electromagnetic actuator. The electromagnetic actuator converts the mechanical power into electrical power which can be used to drive the control system. Therefore, overall power consumption demand for the vehicle can be reduced. When the electromagnetic actuator is used three main advantages can be obtained: firstly, fuel consumption by the vehicle is decreased, secondly, the harmful emission is decreases, therefore, our environment is protected, and thirdly, the performance of the suspension system is improved as shown in the obtained results.

This paper present a modeling and control of the nonlinear full vehicle active suspension system with passenger seat utilizing PID with artificial bee colony (ABC) algorithm technique. Five PID controllers are used . The main objective of designing the controller is to improve the performance of suspension system , while the aim of suspension system in automobiles is to isolate the road disturbance experienced by the tires from being transmitted to the passengers. The effects of the nonlinear forces which come from damper, spring , actuator and parametric uncertainty in the spring, damper and actuator has been considered, therefore robust control is utilized. The MATLAB environment is utilized to determine the performance of the proposed control scheme. A comparison is performed to illustrate the effectiveness of PID-ABC controller in terms of modifying the ride comfort and the safety of travelling passengers. KeywordsArtificial bee colony algorithm PID control tuning, eight degrees of freedom vehicle model, non linear active suspensions, Matlab/Simulink, simulation.