Acceleration feedforward control in active magnetic bearing system subject to base motion by filtered-X LMS algorithm

• Published in: IEEE transactions on control systems technology Vol. 14; no. 1; pp. 134 - 140
• Main Authors: Min Sig Kang, Min Sig Kang, Woo Hyun Yoon, Woo Hyun Yoon
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.01.2006; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Acceleration; Acceleration feedforward compensator; Active control; active magnetic bearing (AMB); Adaptive estimation; Air gaps; Algorithms; Applied sciences; base motion; Bearings, bushings, rolling bearings; Compensation; Compensators; Computer science; control theory; systems; Control systems; Control theory. Systems; disturbance; Drives; electromagnetic forces; Exact sciences and technology; Feedforward; feedforward compensation; filtered; least mean square method; Least squares approximation; Magnetic bearings; Magnetic levitation; Magnetic separation; Mechanical engineering. Machine design; Motion control; Stators; Vehicles; disturbance; Disturbance rejection; Acceleration control; Adaptive estimation; Modeling; Optimization; Active system; Least squares method; filtered-x least mean square (FXLMS) algorithm; Magnetic control; Air gap; Feedforward; least mean square method; Acceleration feedforward compensator; Stator; Electromagnetic force; feedforward compensation; base motion; Optical axis; electromagnetic forces; Filter; Magnetic bearing; Moving load; Optimal control; active magnetic bearing (AMB); Feasibility
• ISSN: 1063-6536; 1558-0865
• DOI: 10.1109/TCST.2005.847337

This brief addresses the application of an active magnetic bearing (AMB) system to levitate the elevation axis of an electro-optical sight mounted on a moving vehicle. In this type of system, it is desirable to retain the elevation axis in an air-gap between magnetic bearing stators while the vehicle is moving. An optimal acceleration feedforward compensator design technique is proposed to attenuate disturbance responses in an AMB system that is subject to base motion. In consideration of the sensitivity of the disturbance compensation performance to the model accuracy, an experimental feedforward compensator is developed from an adaptive estimation by means of the filtered-x least mean square (FXLMS) algorithm. The compensation control is applied to a single degree of freedom (DOF) AMB system subject to base motion. The feasibility of the proposed technique is illustrated, and the results of an experimental demonstration are shown.