Waqar Uddin

Performance of adaptive PI based on fuzzy logic for Indirect Vector Control Induction Motor drive

A Novel Adaptive PI based on Fuzzy Logic Reasoning (FLR) is presented in this paper for Indirect Vector Control (IVC) three phase Induction Motor (IM). The main objective is to achieve fast dynamic response and robustness for speed variation, parameter uncertainties, load disturbances, electrical faults perturbations, and to acquire maximum torque and efficiency. The d-q modeling of the IM in synchronously rotating reference frame and Space Vector Pulse Width Modulation (SVPWM) employed in power inverter are carried out in Matlab/Simulink. Both PI and Adaptive PI based on FLR are analyzed, designed, and simulated for IVC IM drive system. Furthermore, the critical and analytical assessment of the aforesaid designed control methodology provides robust and faster response with low overshoot, rise, and settling time for the load disturbances, parameter uncertainties, speed variation, and electrical faults perturbation of IVC IM drive system, compared to prior works.

Fault tolerant speed regulation of Induction Motor using Artifical Neural Network

This paper successfully develops and investigates the implementation of Artificial Neural Network (ANN) based robust speed control strategy for Indirect Vector Control (IVC) three phase Induction Motor (IM) drive. The IM is modeled in terms of dq in synchronously rotating reference frame for IVC in Matlab/Simulink. The main purpose of the proposed design is to accomplish robustness for load disturbances, speed variation, parameter uncertainties, and electrical faults. The performance of aforesaid control technique is compared with that of conventional tuned PI control scheme. Simulation results of the ANN guarantee effectiveness and robustness regarding overshoot, undershoot, rise time, fall time and chattering for different operating condition in comparison to traditional PI control scheme.

Indirect Vector Control of Induction Motor using Adaptive Sliding Mode Controller

This paper presents an implementation of Adaptive Sliding Mode Controller (ASMC) based robust speed control strategy for Indirect Vector Control (IVC) three phase Induction Motor (IM) drive. The software platform for modelling of IM in the synchronous rotating frame of reference for IVC is Matlab/Simulink. The primary focus of the proposed controller is to accomplish robustness for electrical faults perturbations, load disturbances, speed variation, and parameter uncertainties. The performance of the proposed control technique is compared with that of the conventionally tuned PI control scheme. The Simulation results of the ASMC guarantee effectiveness and robustness regarding overshoot, undershoot, rise time, fall time, and chattering for different operating conditions compared to the traditional PI control scheme.