Precise Control and Speed Identification of Asynchronous Motors in AC Drive Systems

Precise control and speed identification of asynchronous motors represent critical challenges in AC drive systems. In this simulation system, motor speed estimation employs a Model Reference Adaptive System (MRAS) identification algorithm that utilizes easily measurable stator voltage and current signals. To address error accumulation and drift issues caused by pure integration components in the voltage model of the speed identification algorithm, an improved integral-type rotor flux estimation model has been implemented. The implementation involves mathematical modeling of motor dynamics and adaptive observer design using MATLAB/Simulink blocks for real-time parameter adjustment.

Precise Control and Speed Identification of Asynchronous Motors

Precise control and speed identification of asynchronous motors are critical challenges in AC drive systems. This simulation model builds a sensorless vector control system for asynchronous motors using the MRAS (Model Reference Adaptive System) method, implemented through MATLAB/Simulink's SimPowerSystems module. The implementation incorporates mathematical modeling of asynchronous motors, vector control principles, and advanced speed identification algorithms to achieve accurate motor control without physical speed sensors.