Active electromagnetic-vibroacoustic control and optimization of microelectromechanical motion devices

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Title: Active electromagnetic-vibroacoustic control and optimization of microelectromechanical motion devices
Author: Lyshevski, Sergey
Abstract: This paper examines control of rotational permanent-magnet mini- and microscale electromechanical motion devices focusing on control of complex electromagnetic- electromechanical-vibroacoustic phenomena, energy conversion, torque production, motion dynamics, etc. The studied devices, integrated with controlling/driving ICs, are referenced as microelectromechanical systems (MEMS). We research design concepts and synthesize control algorithms to improve overall performance and enhance MEMS capabilities. Data-intensive analysis and coherent synthesis are accomplished by: (1) Examining device physics; (2) Deriving, validating and applying high-fidelity models; (3) Performing heterogeneous simulations, consistent experiments and sound evaluation; (4) Developing an adaptive performance-seeking design concept; (5) Implementing enabling minimal complexity control laws. It is possible to optimize performance and expand MEMS capabilities by designing sound closed-loop systems. The synthesized minimal complexity control laws ensure a near-balanced operation. Processing, controlling and driving circuitry with high-switching-frequency (~10 MHz) PWM amplifiers can be implemented by monolithic ICs. We control the duty cycle of transistors varying the phase voltages applied to the permanent-magnet synchronous minimotors. The results reported enable one to apply fundamental concepts to design high-performance mini- and microsystems. Complex electromagnetic, electromechanical and vibroacoustic phenomena are controlled and optimized in the behavioral domain. The experimental results are reported for proof-of-concept systems.
Description: Copyright 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.Paper from the Proceedings of the 46th IEEE Conference on Decision and Control New Orleans, LA, USA, Dec. 12-14, 2007
Record URI: http://hdl.handle.net/1850/8987
Date: 2007-12

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