Evolutionary Computing Assisted Control Environment for Six-Step Mode High-Speed and Accelerating Induction Motor Drives

Abstract

 Exponential rise in induction motor applications, especially for high-speed drives and accelerating environment has alarmed academia-industries to develop more robust and potential control solutions. Current induction motor controllers either focus on speed or torque enhancement using different methods such as scalar or vector control methods and predictive control strategies Unfortunately, such applications lead to field-weakening conditions demanding achievement of high speed and high acceleration control. Hence the dynamic performance of induction motors under classical control is affected showing unstable Speed, Torque ripple and Harmonics in electrical parameters.

This paper, therefore, enlightens a robust control of speed as well as torque enhancement in the closed loop control system based on Evolutionary Computing and an Efficient Control strategy. The current research ensures high torque performance and overcomes field weakening problem by suggesting a novel six-step environment of induction motor and DC-link voltage respectively. The 6-step mode environment deals with SVPWM to reduce harmonics in electrical parameters. In addition, the current is controlled by proposed Flower Pollination Algorithm (FPA) in the inner loop to tune the authentic Proportional-Integral and Derivative (FPA-PID) controller. The FPA in-conjunction with a band stop filter and SVPWM also enables six-step inverter to control transient response with assured ripple and harmonic suppression of speed within 0.4 seconds.

The Matlab simulation of the proposed Control algorithm has confirmed the robust control of uniform torque.