Adaptive sensorless control for interior permanent magnet synchronious motor based on sliding mode approach.

Area of Science:

• Electrical Engineering
• Control Systems
• Robotics

Background:

• Interior Permanent Magnet Synchronous Motors (IPMSMs) are widely used in various applications due to their efficiency and power density.
• Sensorless control of IPMSMs is crucial for reducing cost, size, and improving reliability by eliminating mechanical sensors.
• Existing sensorless control methods often face challenges in achieving high performance across a wide speed range and simplifying parameter tuning.

Purpose of the Study:

• To propose a novel adaptive sensorless control strategy for IPMSMs based on sliding mode control.
• To develop an adaptive observer for accurate estimation of angular position, speed, and acceleration without machine parameters.
• To simplify controller implementation and reduce tuning time through a single parameterization of control and observer gains.

Main Methods:

• The proposed strategy integrates a novel Adaptive Super-Twisting Controller (ASTWC) with a novel Adaptive Observer High-Order Sliding Mode (AOHOSM).
• The AOHOSM utilizes an auxiliary system, independent of machine parameters, for robust state estimation across a wide speed range.
• Lyapunov stability analysis is employed to guarantee the stability of the closed-loop control system.

Main Results:

• The adaptive observer accurately estimates angular position, speed, and acceleration, enabling effective sensorless operation.
• The ASTWC successfully tracks desired speed and direct-axis current references, demonstrating precise control.
• Experimental validation confirms the effectiveness of the proposed strategy, showing superior or comparable performance to existing methods.

Conclusions:

• The proposed adaptive sensorless control strategy offers a robust and efficient solution for IPMSM drives.
• The simplified tuning and parameter-independent observer enhance practical implementation and applicability.
• The method provides a valuable contribution to the field of advanced motor control, particularly for applications requiring high performance and reliability.