Decoupling Control of Bearingless Induction Motors Based on Least Squares Support Vector Machine Inverse
To realize the nonlinear dynamic decoupling control of a bearingless induction motor (BIM), which are multivariable, strongly coupled and nonlinear, a decoupling control strategy based on least squares support vector machine (LSSVM) inverse is proposed. Firstly, the inverse of original
system is analyzed to confirm the existence of BIM's inverse. Then, the LSSVM inverse is used to approximate the inverse model of BIM and the pseudo-linear system is established. The constructed pseudo-linear system is equivalent to two independent linear displacement subsystems, an independent
linear rotor speed subsystem and an independent linear flux linkage subsystem. Thirdly, a closed-loop controller is designed for the pseudo-linear system to improve the performance of the BIM. Finally, the simulation examples evaluate the performance of the proposed strategy. Compared with
the inverse system control, system transient response and decoupling results are improved using the LSSVM inverse, and the disadvantages of inverse system method depending on the exact system model are overcome.
Keywords: BEARINGLESS INDUCTION MOTOR (BIM); DECOUPLING CONTROL; INVERSE MODEL; INVERSE SYSTEM; LEAST SQUARES SUPPORT VECTOR MACHINE (LSSVM)
Document Type: Research Article
Publication date: 01 May 2014
- Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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