Switched Reluctance Machine Torque Ripple Mitigation
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Solution Overview
Problem
Existing SRM control methods are inadequate in mitigating vibration and noise, particularly due to sensitivity to machine parameter variations and limitations in addressing low-frequency torque ripples and machine-induced vibrations, which hinders their effectiveness in high-power and high-speed applications.
Innovation Solution
A closed-loop control algorithm using a real-time optimization module with an adaptive gradient method that dynamically adjusts current harmonics, phase advancement angle, and electromechanical imbalance factor to mitigate machine-induced vibrations and noise, enabling real-time torque ripple mitigation and noise shaping in switched reluctance machines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If open-loop control with look-up table is used, then implementation is simple, but control effectiveness deteriorates due to sensitivity to machine parameter variations
Solution Approach 1:
The patent implements closed-loop control by measuring actual torque ripple and vibration using sensors, then feeding this information back to the controller which dynamically adjusts current waveforms in real-time to compensate for parameter variations, thereby maintaining control effectiveness despite deviations from nominal machine parameters
Solution Approach 2:
The control system transitions from static open-loop look-up table to dynamic closed-loop control where the controller continuously adapts current profiles based on real-time measurements of torque ripple and vibration, enabling the system to respond to changing operating conditions and parameter variations
2Measurement precision
If parameters are measured for each specific SRM-load combination, then control accuracy improves, but device complexity and deployment difficulty increase
Solution Approach 1:
The control system performs self-characterization by automatically measuring torque ripple and vibration during operation, then using this measured data to generate optimized current profiles without requiring external parameter measurement or manual configuration, enabling plug-and-play deployment across different SRM-load combinations
3Reliability
If closed-loop control with optimization method is used, then immunity to parameter deviation improves, but responsiveness to load transients deteriorates
Solution Approach 1:
The controller implements periodic measurement and adjustment of current waveforms at each switching cycle, allowing continuous adaptation to parameter variations while maintaining fast response to load transients through high-frequency control updates that override the slower convergence of the optimization algorithm
Solution Approach 2:
The system pre-computes optimized current profiles based on measured torque ripple characteristics, then applies these pre-computed profiles immediately during operation, enabling fast transient response while still benefiting from the parameter deviation immunity provided by the closed-loop optimization framework
Data Source
AI summary
Systems and methods to manipulate the noise and vibration of a switched reluctance machine (SRM), capable of being implemented in a controller. By use of vibration sensors and a real-time optimizer, the noise and vibration profile of an SRM and associated load can be modified in order to meet multiple control objectives, such as torque ripple mitigation (TRM), harmonic spectrum shaping, and efficiency improvement. The systems and methods can be adapted to high power, high pole count, and high speed applications, and applications where electrical or mechanical imbalance exists.