Aging-free estimationless sliding mode control for IPMSM in transportation system

Area of Science:

• Electrical Engineering
• Control Systems
• Sustainable Transportation

Background:

• Equipment aging causes parameter distortion, degrading control performance.
• Interior Permanent Magnet Synchronous Motors (IPMSMs) are crucial for low-carbon transportation.
• Existing control strategies struggle with aging-induced performance degradation.

Purpose of the Study:

• To propose a novel aging-free, estimationless sliding mode control strategy for IPMSMs.
• To address performance degradation in aging IPMSMs within low-carbon transport.
• To enhance the efficiency and reduce power loss of aging IPMSMs.

Main Methods:

• Developed a time-varying disturbance (TVD)-based aging model integrating multi-stage dynamic disturbance transitions.
• Proposed a multi-condition correction (MCC)-based sliding mode current control method.
• Associated sliding surface parameters with temporal factors and integrated correction functions in the reaching law.
• Derived stability conditions using Lyapunov functions.

Main Results:

• The proposed strategy effectively reduces current control error in aging IPMSMs.
• System power losses are significantly reduced.
• Operational efficiency of aging IPMSMs is substantially enhanced.
• Hardware-in-the-loop (HIL) validation confirmed the strategy's efficacy.

Conclusions:

• The novel aging-free estimationless sliding mode control strategy is effective for IPMSMs in low-carbon transportation.
• The strategy mitigates performance degradation caused by equipment aging.
• This contributes to improved efficiency and reliability in electric transportation systems.