INTRODUCTION

Fuzzy logic controllers are based on fuzzy sets, which are classes of objects in which the transition from membership to non-membership is smooth rather than abrupt. Boundaries of fuzzy sets can be vague and ambiguous, making them useful for approximation models. A fuzzy-based control system is an arrangement of physical components designed to alter another physical system so that the system exhibits certain desired characteristics. There are a number of benefits to using fuzzy logic control (FLC), as compared to classical control, which requires a thorough understanding of the model and the objective function. This makes it extremely challenging to apply in many situations. When developing a controller, we can draw on human knowledge and experience by using fuzzy logic. It is advisable to use IF-THEN statements to create fuzzy control rules while developing a controller. The benefits of constructing fuzzy logic controllers (FLC) make them more cost-effective in terms of performance than model-based or other controllers. Due to its capacity to handle a broad range of operating circumstances and, most importantly, their ability to be customized, FLCs are more durable than PID controllers. FLC is designed to emulate human’s deductive thinking - the process people use to infer conclusion from what they know, which is more reliable and more efficient when applied in control systems. This course will cover the essentials of designing control systems based on fuzzy logic.