Cruise Controller System Design

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, modern and intelligent design methods. In this project, the mathematical modelling for linear and nonlinear dynamic model of the cruise control system is obtained. PID and artificial intelligence controller (fuzzy logic) are designed for nonlinear model. The both controllers with feedforward controller are proposed with disturbance effects. Feedforward-type PD controller is novel method to proposed in this project in order to eliminate the gravitational and wind disturbance effects. Simulation will be carried out using MA TLAB and GU1 programming. Finally, a comparative assessment of the impact of each controller on the basis of results acquired.