Comparison of PID, GA and Fuzzy Logic Controllers for Cruise Control System

Abstract

Nowadays, automobile companies give good attention of cruise systems and cruise controllers which are considered as one of the most critical aspects that require precise controller that can accommodate the new development in technology. The movement of running automobiles is variable and complex. For this reason, cruise control system (CCS) has high non-linearity and if a traditional PID controller has been used, it will not give good results in all conditions. This paper presents comparative study of PID controller, PID optimized by GA and fuzzy logic controllers for an automobile cruise control system (ACCS) where it has been used on linearized model of the cruise system. The comparison was for the transient performance; i.e. settling time, rise time and maximum overshoot in addition to the steady state performance i.e. steady state error. MATLAB/SIMULINK and m-file have been used to show the efficiency of each method used and shows the comparison between them. The results indicate that the performance of fuzzy controller has better response regarding the overshoot and the settling time while the PID tuned by using GA gives the shortest rising time. A comparative analysis of each simulated result will be done based on the response characteristic.