Optimal third-order sliding mode controller for dual star induction motor based on grey wolf optimization algorithm

Area of Science:

• Electrical Engineering
• Control Systems
• Optimization Algorithms

Background:

• Indirect field-oriented control (IFOC) with classic sliding mode control (SMC) for dual-star induction motors suffers from speed tracking issues and chattering-induced ripples.
• Chattering in IFOC-SMC leads to significant oscillations in stator current and electromagnetic torque, degrading motor performance.

Purpose of the Study:

• To introduce a novel control strategy, TOSMC-GWO, for dual-star induction motors.
• To enhance motor performance by minimizing transient response times and steady-state errors.
• To mitigate oscillations in stator currents, rotor flux, and electromagnetic torque.

Main Methods:

• Combining third-order sliding mode control (TOSMC) with the grey wolf optimization (GWO) algorithm.
• Replacing the classic SMC in the IFOC framework with the proposed TOSMC-GWO controller.
• Utilizing the same input variables as the traditional controller for direct comparison.

Main Results:

• Numerical simulations in MATLAB demonstrate the effectiveness of the IFOC-TOSMC-GWO technique.
• Significant reduction in stator current oscillations (82.23%) and torque oscillations (84.61%) compared to IFOC-SMC.
• Improved transient response, including reduced overshoot, rise time, and settling time.

Conclusions:

• The proposed IFOC-TOSMC-GWO method offers superior performance over conventional IFOC-SMC for dual-star induction motors.
• The integration of TOSMC and GWO effectively suppresses chattering and its associated negative effects.
• This advanced control strategy provides a robust solution for enhancing the efficiency and stability of induction motor drives.