Stability Enhancement and Speed Control of DFOIM Using Hybrid PID Plus Fuzzy Logic Controller

Due to many advantages of (DFOIM), it finds vast applicability in diverse fields. But the only problem with them is that the desired and instantaneous speed control under the load torque disturbances is a bit difficult and complex. In this paper, the best solution to the above problem is proposed by implementing fuzzy logic (FLC) scheme based controller to tune PID controller. Here it is further proposed that implementing Ziegler-Nichols (Z-N) method for designing the PID controller is adapted with FLC. The FLC tuned PID controller will give superior control of speed and also provides sophisticated stability enhancement to DFOIM. The proposed Z-N method utilizes the acceleration error and speed error commands to train the FLC, where the errors are PID controller outputs. In Simulink-MATLAB environment, a Dynamic model for the proposed fuzzy PID control based DFOIM is designed and it is simulated. The results thus obtained in the simulation of Z-N based PID trained FLC scheme will gives superior control over the speed and enhanced stability constraints during load torque disturbances.