Implementation of fuzzy control for a nonlinear system — Conical level process

Fuzzy logic is the trending control strategy and ideal in its performance to the real world of control. It has been implemented in most of the control fields because of its expertise in fault tolerance, knowledge representation, nonlinearity, uncertainty, real time operation etc. In this paper mamdani type of fuzzy controller is considered for controlling nonlinear conical tank process. The identification of conical tank system is performed by two point method and fuzzy controller is implemented. The results of fuzzy controller is compared with AMIGO (Approximate M constrained Integral Gain Optimization) and conventional controllers for evaluating its performance indices like IAE, ITAE and ISE using MATLAB simulation environment and real time experimentation was also carried out. It is also observed that the fuzzy controllers perform better than that of AMIGO PI and conventional PI controller.