designing a pid controller for a cruise control system using genetic algorithm

Car cruise control systems have become a common feature of modern vehicles for the driver’s comfort during long journeys. the main problem of this system is maintaining the speed set by the driver, or in other words, the car’s speed must match the predetermined value. in this article, a proportional-integral-derivative (pid) controller using genetic algorithm (ga) is designed for this system. three objective functions integral square error (ise), integral absolute error (iae) and integral time absolute error (itae) were investigated for this controller and the function with the best response was selected as the final controller. the results obtained for the selected controller are compared with the results of the pid controller adjusted by the ziegler-nichols method and a fuzzy controller. the results show that the controller designed with the ga based on the itae objective function had the best performance compared to other controllers.