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This thesis presents the mathematical modeling of the electrical belt drive plant using shunt wound DC motor as a prime mover and applying fuzzy logic based tuned proportionalintegral-derivative controller for speed supervise of the belt drive system. It also includes comparison of PID, fuzzy logic and fuzzy logic based PID controller. For mathematical modeling the belt drive system the electrical, mechanical and load sections were separately modeled and then combine to get one composite system. The Proportional-IntegralDerivative controller cannot produce an effective performance when there is disturbances and non-linearity of the plant since this controller contain constant parameters that cannot be updated when the system parameter is changed. These controller limitations can be minimized by applying more robust controller called as Fuzzy logic control strategy to increase the performance of the overall system. The fuzzy logic controller by itself contain limitations since this controller prepares its rule based on nearest approximation. This approximation creates some percentage of error. So, combining the two controllers to increase performance for the system. The fuzzy logic system contains two inputs such as speed error and rate of change in speed error, and the proportional, integral and derivative gains are considered as an output of the fuzzy controller. The simulation and control of the electrical belt drive system was done using the MATLAB/Simulink software. The MATLAB simulation result shows that the operating speed of the plant are satisfactory with 0.505% overshoot, no steady state error, the rise-time of 0.012sec and the settling time of 0.0126sec. This indicates the designed fuzzy logic based proportional-integralderivative controller can efficiently and effectively control the electrical belt drive system. |
