MRAS Based Sensorless Speed Control of Permanent Magnet Synchronous Motor Using Fuzzy Logic-PI Controller
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Date
2023-10-20
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Addis Ababa University
Abstract
The accurate control of Permanent Magnet Synchronous Motors (PMSMs) without the need for mechanical speed sensors is a significant challenge in various industrial applications. This thesis proposes a Model Reference Adaptive System (MRAS) based sensor less speed control technique for PMSMs using a fuzzy logic-PI controller. The MRAS estimator utilizes a reference and adjustable models to estimate the (rotor) speed of the motor. The fuzzy logic-PI controller combines the advantages of fuzzy logic control and proportional integral control to improve control performance and speed regulation. The study investigates the performance of Proportional Integral (PI) and Fuzzy Logic-Proportional Integral (FL-PI) controllers under various conditions, including load and no-load scenarios, parameter variations
and the influence of disturbances like sudden load torque changes. The simulation
results reveal that the fuzzy logic-PI controller reduced overshoot to 2.6% from 5% and eliminated steady state error under no-load conditions. It exhibited a 3% overshoot during sudden load changes, the PI controller’s 3.9%. the Fl-PI controller consistently outperforms the PI controller in terms of overshoot, settling time and steady state error across different operating conditions. Moreover, the Fl-PI controller demonstrates robustness to parameter variations and effectively mitigates the impact of disturbances on motor speed and current. These findings highlight the superior performance and robustness of the Fl-PI controller, making it a promising choice for speed control in PMSM applications.
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Keywords
Permanent Magnet Synchronous Motor (PMSM), Model Reference Adaptive System (MRAS), Sensorless Speed, Fuzzy-PI Controller(Fl-PI).