Self Tuning of PI Controller for Speed Control of DC Motor by Using Fuzzy Logic Controller

DC motors have been used in the industry for quite a long time. One of the famous controllers that have been used in industrial applications is the PI controller. However, it is hard to achieve an accurate value of gains to control the DC motor speed. On the other hand, Fuzzy Logic Control (FLC) is an application that successfully controls a difficult system model where it can control a complex non-linear system even though with less knowledge or without the plant's mathematical model. This project aims to design the DC motor's speed control using a Proportional-Integral (PI) controller. A self-tuning PI controller was developed using Fuzzy Logic to improve the system's performance. Fuzzy Logic Control (FLC) is implemented to self-tuning the P and I gain. A Mamdani type is used to design the Fuzzy Inference System (FIS) for the system. The results show that the PI controller's self-tuning using Fuzzy Logic Control (FLC) produces a better system performance than the PI tuner method in terms of system time response in unloaded motor conditions and loaded motor conditions. In conclusion, both methods provide good performance. However, the FLC method produces a better system response in transient response, less speed error, faster rise time and better dynamic response.