Fuzzy logic application in automation control

Abstract

This paper aims to investigate and apply Artificial Intelligence in solving a real-life problem. A fuzzy logic control (FLC) system is proposed for controlling and maintaining speed of a motor vehicle. The vehicle controller produces either a throttle force or brake force. This force is then feed into the vehicle's engine to generate an appropriate acceleration for the vehicle. Moreover, the vehicles' speed is further affected by the type of road the vehicles is moving on. Moving on an uphill road would require more throttle while moving downhill roads require less throttle and more brakes. A flat smooth road requires average throttle or brakes. To evaluate and validate the proposed solution, two models are used, and results are later analyzed. First model uses FLC while second model uses Proportional Integrator (PI) controller. The PI controller has proved to be less smooth in transitioning the actual to desired speed than the FLC. The FLC was further tested on its independence from the model used. It has been assigned to two different models to show that results obtained are based on fuzzy-rules and not the specific model. This experiment successfully demonstrated how motor vehicle speed can be better controlled by using a FLC than a PI controller system