SRM Vibration Control via Real-Time Current Harmonic Adjustment
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Solution Overview
Problem
Switched reluctance machines (SRMs) face challenges with excessive vibration and noise due to structural deformation, magnetic torque harmonics, machine imbalances, and load-induced imbalances, which existing control methods, both open-loop and closed-loop, fail to adequately address, especially in applications requiring flexibility and interchangeability.
Innovation Solution
A closed-loop control system that measures machine-induced vibrations and torque harmonics, calculates an electromechanical imbalance factor, and adjusts the drive current in real-time to mitigate vibrations and noise, using a real-time optimization module with adaptive gradient methods to enhance responsiveness and robustness during load transients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If open-loop control with predetermined parameters is used, then the control system is simple to implement, but it becomes sensitive to machine parameter variations and less effective in reality
Solution Approach 1:
The patent implements closed-loop control by measuring actual vibrations and noise levels during SRM operation and using this feedback to dynamically adjust control parameters. Vibration sensors mounted on the SRM housing provide real-time data about torque ripples and mechanical imbalances, allowing the controller to adapt to parameter variations and maintain effectiveness throughout the machine's operational life.
Solution Approach 2:
The control system transitions from static predetermined parameters to dynamic parameter adjustment. The controller continuously modifies current waveforms and switching patterns based on real-time vibration measurements, enabling the system to adapt to changing operating conditions, load variations, and parameter drift without requiring manual recalibration.
2Measurement precision
If parameters are measured for each specific SRM-load combination, then control accuracy improves, but the controller cannot be reused when components are changed
Solution Approach 1:
The control system performs self-characterization by automatically measuring vibrations and noise during operation to identify torque ripple sources and optimize control parameters. This eliminates the need for manual parameter measurement and calibration for each SRM-load combination, allowing the controller to adapt automatically when components are changed while maintaining high measurement precision.
3Reliability
If existing closed-loop control with optimization methods is used, then immunity to machine parameter deviation is achieved, but the system is less responsive and less robust at transients from load changes
Solution Approach 1:
The control system continuously monitors vibrations and periodically updates control parameters through optimization cycles. By using periodic vibration measurements to trigger parameter adjustments, the system maintains immunity to parameter deviations while responding quickly to load transients through repeated measurement-and-adjust cycles that adapt to changing operating conditions.
Data Source
AI summary
Systems and methods are disclosed for manipulating the noise and vibration of a switched reluctance machine (SRM). By use of vibration sensors and real-time optimization methods, the noise and vibration profile of an SRM and associated load may be modified to meet one or more control objectives, such as torque ripple mitigation (TRM), harmonic spectrum shaping, and/or efficiency improvement.