Position Estimation and Compensation Based on a Two-Step Extended Sliding-Mode Observer for a MSFESS.

Area of Science:

• Control Systems Engineering
• Energy Storage Systems
• Robotics and Automation

Background:

• Magnetically suspended flywheel energy storage systems (MFESS) require precise rotor position estimation for stable operation.
• Measurement noise and unknown disturbances pose significant challenges to existing estimation methods.

Purpose of the Study:

• To develop an advanced rotor position estimation and compensation strategy for MFESS.
• To enhance the robustness of the estimation against noise and disturbances.

Main Methods:

• A two-step extended sliding-mode observer (ESMO) approach was designed.
• The first step uses a traditional sliding-mode observer for initial state estimation.
• The second step estimates and compensates for the angular position error using H-infinity optimization.

Main Results:

• Experimental validation demonstrated the effectiveness of the proposed two-step observer.
• The method achieved superior estimation accuracy compared to traditional approaches.
• Improved control performance was observed in the MFESS.

Conclusions:

• The proposed two-step ESMO effectively estimates rotor position in MFESS under challenging conditions.
• The H-infinity optimization enhances disturbance rejection capabilities.
• This method offers a promising solution for robust control of flywheel energy storage systems.