A new control strategy for a single tank liquid level control system is designed. Generally PID controllers are used to design the level of the liquid in the tank. But PID is a feedback type controller, so it doesn't produce satisfactory responses. As the complexity of problems in the process increases, Fuzzy Logic Controller is used. It produces satisfactory response, but the drawback is that it is time consuming process and it requires finer tuning and also affected by unknown disturbances. So in order to compensate these kind of unknown disturbances and uncertainties which are seen in the plant, the fuzzy logic controller using inverse fuzzy model is used. The simulation result shows that inverse fuzzy model shows better control action when compared with conventional PID and fuzzy controller. The controllers are designed using MATLAB software.

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Pid Controller Pid Tuning Fuzzy Logic Controller Inverse Fuzzy Model Single Tank Liquid System