Actor-Critic Modulation Index Controller for Improved Power Factor of Slip Energy Recovery Drive
Abstract
Poor power factor has been projected as the most limiting factor of the slip controlled Wound Rotor Induction Motor also known as Slip Energy Recovery Drive (SERD). Despite it slip energy recovery capabilities. However, the limitation of poor power factor in the performance of SERD constitutes torque pulsation, misfiring, high investment cost and so on. Thus, making it inapt in applications that require improved power factor and optimum drive performance, resulting from significant reactive power and in-rush current harmonics drawn by the inverter on the dc-link. This paper presents an intelligent Modulation index-controlled system using policy improved proximal policy optimization (IPPO) algorithm and a space vector pulse width regulated boost chopper. This policy improved proximal policy optimization algorithm examines and adjust the drive speed and power factor through the feedback channel and manifest intelligent pulse width switching aptitudes on the boost chopper. This made use of Insulated Gate Bipolar Transistors (IGBT) as a boost chopper switch, and IGBT bridge inverter as the ac means recovery inverter. Switching aptness being a necessity in balancing the dc-link ripples, the actor-critic is hybridized with a callback in the algorithm training sessions, after every training timestep of 200 in a total time step of 1,000. This was simulated on Matlab SIMULINK, and compared with the Traditional SERD under fuzzy logic controlled schemes. The simulation shows that the intelligent reinforcement learning controller could achieve improved power factor at all load torques, with a balance current and voltage waveform than the fuzzy logic controlled schemes.
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