Predefined-time position tracking optimization control with prescribed performance of the induction motor based on...

Area of Science:

• Control Systems Engineering
• Electrical Machines
• Optimization Algorithms

Background:

• Induction motors face challenges in position control due to parameter variations, load disturbances, and modeling inaccuracies.
• Accurate estimation of unmeasurable variables like rotor flux linkage is crucial for effective control.
• Existing control methods may struggle to achieve precise tracking within a guaranteed time frame under uncertain conditions.

Purpose of the Study:

• To develop a predefined-time position tracking optimization control method for induction motors with prescribed performance.
• To address parameter perturbations, load disturbances, and modeling errors in induction motor control.
• To enhance convergence rate and steady-state accuracy of induction motor position control.

Main Methods:

• A predefined-time sliding mode observer (PTSMO) is utilized for accurate rotor flux linkage estimation.
• Predefined-time disturbance observers (PTDOs) are employed to identify system uncertainties.
• Integration of predefined-time control with prescribed performance functions for position and flux linkage controllers.
• Combined optimization using Adaptive Genetic Algorithm (AGA) and Improved Particle Swarm Optimization (IPSO).

Main Results:

• The proposed method achieves accurate position tracking of the induction motor within a predefined time.
• Controllers optimized via AGA and IPSO demonstrate improved convergence rate and steady-state accuracy.
• Simulations and dSPACE experiments validate the effectiveness and practical applicability of the control strategy.

Conclusions:

• The developed predefined-time control strategy effectively solves the position control problem for induction motors under various uncertainties.
• The combination of PTSMO, PTDOs, and hybrid optimization algorithms (AGA-IPSO) significantly enhances control performance.
• The proposed method offers a robust and efficient solution for practical induction motor position control applications.