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<p>The paper is concerned about identification of electrical parameters, to avoid the negative influence on orientation of field and effectiveness of indirect field-oriented control-induction motor drives (IFOC-IMD) due to parameter mismatch. The precise knowledge of parameters is most extreme significance for control of induction motor drives. The active power-based MRAS strategy has been introduced with a novel functional element for identification of stator resistance, and the reactive power-MRAS with rotor flux and stator voltage utilitarian elements estimates the rotor parameters of resistance, time constant and speed. With the help of proposed system, the simultaneous estimation of multiple parameter such as R<sub>s</sub>, R<sub>r</sub>, T<sub>r</sub> and speed of an induction motor is introduced. Moreover, to enhance the effectiveness of drive the adaptive slip speed tuning strategy is implemented by adopting the estimated parameters in IFOC. In addition, a particle swarm optimization (PSO) algorithm is adopted to evaluate the optimal PI gains of a controller for reference signal generation in IFOC. The dynamic torque and speed variations are considered in the optimization process to obtain a better dynamic effectiveness of IMD for an evaluation of felicitous gain values. The developed algorithm is tested with simulation and laboratory prototype.</p>

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Multi-parameter identification using PQ-MRAS for indirect field-oriented control IMD with optimized PI gains

  • 期刊论文

  • 发表日期：

    2025年5月3日

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  • Mahesh Pudari,
  • Sabha Raj Arya,
  • Papia Ray

摘要

The paper is concerned about identification of electrical parameters, to avoid the negative influence on orientation of field and effectiveness of indirect field-oriented control-induction motor drives (IFOC-IMD) due to parameter mismatch. The precise knowledge of parameters is most extreme significance for control of induction motor drives. The active power-based MRAS strategy has been introduced with a novel functional element for identification of stator resistance, and the reactive power-MRAS with rotor flux and stator voltage utilitarian elements estimates the rotor parameters of resistance, time constant and speed. With the help of proposed system, the simultaneous estimation of multiple parameter such as Rs, Rr, Tr and speed of an induction motor is introduced. Moreover, to enhance the effectiveness of drive the adaptive slip speed tuning strategy is implemented by adopting the estimated parameters in IFOC. In addition, a particle swarm optimization (PSO) algorithm is adopted to evaluate the optimal PI gains of a controller for reference signal generation in IFOC. The dynamic torque and speed variations are considered in the optimization process to obtain a better dynamic effectiveness of IMD for an evaluation of felicitous gain values. The developed algorithm is tested with simulation and laboratory prototype.