Adaptive Periodic Speed Fluctuation Suppression for Permanent Magnet Compressor Drives

Area of Science:

• Engineering
• Control Systems
• Mechanical Engineering

Background:

• Single-rotor compressors experience significant speed fluctuations due to periodic load torque variations.
• These speed fluctuations can negatively impact compressor performance and operational stability.

Purpose of the Study:

• To propose and validate an adaptive periodic speed fluctuation suppression method (APSFSM) for single-rotor compressors.
• To enhance compressor speed regulation by mitigating disturbances at specific frequencies.

Main Methods:

• The proposed APSFSM combines a proportional-integral (PI) regulator for low-frequency disturbances with a recursive Gauss-Newton (RGN) algorithm for specific frequency disturbances.
• The RGN component utilizes an angle-based strategy for smoother, more responsive speed regulation, adaptable to frequent operational changes.
• The method adaptively adjusts compensation current amplitude and phase based on real-time speed errors.

Main Results:

• Experimental validation on a 650W compressor platform demonstrated the effectiveness of the APSFSM.
• The method successfully suppressed speed fluctuations under different operating conditions.
• The RGN algorithm showed robustness against system phase shifts, ensuring stable performance.

Conclusions:

• The APSFSM effectively suppresses speed fluctuations in single-rotor compressors.
• The adaptive, angle-based RGN approach provides smoother and more robust speed regulation.
• This method offers a significant improvement for compressor operational stability and performance.