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This paper investigates the process of building a fuzzy logic Electrical Power Steering (EPS) system. The EPS prototype described in the paper dynamically generates a variable torque assist depending on the combination of the momentary values of vehicle weight, velocity, lateral acceleration, battery voltage, and tyre pressure. The process of modeling and simulating the prototype in MATLAB/Simulink is described. The paper presents the research experience indicating that the use of fuzzy logic to design an Electrical Power Steering system delivers a rapid development time and a direct and natural way to capture the required functionality.

This paper outlines the development of software in ANSI C to implement a fuzzy controller. A fuzzy controller can provide control to many different actuators in a vehicle where a mathematical model of a system is vague or highly complex, such as a climate control system. During the design stage, emphasis was placed on memory requirements and computational efficiency due to the fact that the final system was to be implemented on a microcontroller. This paper provides an outline of the choices made along with an overview of the methods and algorithms used to successfully implement the controller.