R esearch Content
The research focuses on addressing the serious issue of rotor vibrations in Active Magnetic Bearings (AMB), which are critical components in many industrial applications due to their frictionless operation and low maintenance requirements. Traditional methods using notch or adaptive filters in AMB controllers often fail to achieve precise amplitude and phase compensation, limiting their effectiveness in vibration suppression.
To overcome these limitations, the team applied an Adaptive Filter based on the Least Mean Square (LMS) to extract vibration signals from the rotor displacement. An Iterative Search Algorithm (ISA) was then developed to determine the optimal relationship between compensation current and vibration signals, allowing for real-time adjustments that significantly reduce vibrations. The Adaptive Filter with Compensation (AFC) is form by ISA and LMS filter to suppress rotor vibration in the AMB rotor. Besides, to expand the application of ISA to variable speed environments, results of ISA were recorded and Look-Up Table (LUT) was applied.
Research Results and Their Significance
The study’s findings indicate that the combination of the LMS adaptive filter and ISA can effectively suppress vibrations across both fundamental and harmonic orders. Through detailed simulations and experimental validations, the research demonstrated that this method could reduce rotor vibration amplitudes by up to 77%, ensuring enhanced stability and performance of AMB systems. These improvements are crucial for applications requiring high precision and reliability, such as in aerospace, energy, and manufacturing industries.
Future Outlook
In the future, the researchers plan to refine their algorithm to further enhance its robustness and efficiency. They also aim to further improve the ISA's search speed and further reduce rotor vibration. This research paves the way for more reliable and efficient AMB systems, potentially transforming various high-precision industries.
CES Transactions on Electrical Machines and Systems
Experimental study
Not applicable
Vibration Suppression for Active Magnetic Bearings Using Adaptive Filter with Iterative Search Algorithm
25-Apr-2024