Modelling and controller design for a cruise control system

This paper presents the performance of different control approaches that consist of conventional, modern and intelligent controller that employed in a cruise control system. The cruise control system is one of the most enduringly popular and important laboratory models for teaching control system engineering. The system is widely used because it is very simple to understand and yet the control techniques cover many important classical and modern design methods. In this paper, the mathematical modelling for linear and nonlinear dynamic model of the cruise control system is obtained. PID, state space and artificial intelligence controller (fuzzy logic) are designed for linear model. Meanwhile, PID with feedforward controller is proposed for nonlinear model with disturbance effect. Feedforward-type PD controller is proposed in this study in order to eliminate the gravitational and wind disturbance effect. Simulation will be carried out using. Finally, a comparative assessment of the impact of each controller on the basis of results acquired.