Cruise Control Design Using Fuzzy Logic Controller

In to days automobile industry, the cruise control is one of the most critical aspects that require a well-designed controller that can accommodate the new development in technology. In this paper, we have designed a cruise controller using the Fuzzy logic rules and a developed MATLAB code to simulate the car's engine mechanism. Fuzzy logic has expanded substantially in the field of nonlinear systems as it provides a very simplified approach to design controllers that can provide an optimum results. Hence, this paper will present a fuzzy controller that can be used to study the performance between the conventional PID controller and fuzzy controller and provide a platform that can help to identify whether fuzzy logic will help to maximize the performance or there might be rooms for improvement to reach the targeted results.

I. Introduction

The cruise control objective is to regulate the speed of the vehicle based on the desired speed. The speed will be measured using speed sensor, then the error and the change of the error will be calculated in order to adjust the speed. Adjusting the speed is to control the throttle position which is proportionally related to the fuel injection to the engine. This will provide the driving force that will move the car according to the Newton's law of motion.