Simulation Model of Speed Sensorless Asynchronous Motor

Analysis of Simulation Model for Speed Sensorless Asynchronous Motor

In modern motor control systems, traditional speed sensors present challenges such as high cost and low reliability. Speed sensorless technology, which estimates rotational speed through algorithmic calculations, has become a research hotspot. Among various approaches, the Model Reference Adaptive System (MRAS) method is widely adopted due to its straightforward implementation and robust performance.

Working Principle: The system measures electrical quantities like motor voltage and current to construct a speed estimation structure using reference and adjustable models. The reference model calculates flux linkage using voltage equations, while the adjustable model computes flux linkage through current equations.The adaptive mechanism utilizes a PI regulator to dynamically adjust speed estimation values online based on error signals from both model outputs.

Key Technical Features: Relies entirely on mathematical motor models without mechanical sensors MRAS algorithm ensures rapid convergence of estimated speed Simulation models require precise motor parameter configuration Includes core modules like coordinate transformation and flux observers

Implementation Advantages: Reduces system costs Enhances reliability Suitable for harsh operating environments Facilitates digital implementation

This simulation model serves as an effective tool for researching speed sensorless control algorithms. By adjusting adaptive parameters, dynamic and static performance can be optimized, making it a fundamental component for developing practical control systems. Code implementation typically involves discrete-time processing of voltage/current measurements, Park/Clarke transformations for coordinate conversion, and iterative updates of adaptive gains through PI controllers.