Nonlinear model predictive control of ironless linear motors

Tuan T. Nguyen, Mircea Lazar, Hans Butler

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Abstract

As the demands for accuracy and throughput in industrial positioning systems are increasing, classical control of ironless linear motors (ILMs) is facing its limit. Classical control scheme of an ILM typically consists of a simple sinusoidal commutation algorithm and a PID feedback controller. Classical commutation cannot compensate for parasitic effects, while classical PID feedback controller cannot guarantee constraints satisfaction. This problem can be addressed by replacing classical commutation with optimal commutation and PID controller with linear model predictive controller (LMPC). However, this LMPC and optimal commutation scheme requires solving two separate optimization problems, which is not optimal and can lead to infeasibility. In this paper we present a nonlinear model predictive control (NMPC) scheme for ILMs. The scheme requires solving only a single optimization problem. It can guarantee constraints satisfaction and is capable of compensating for parasitic forces. Simulation results are presented for demonstration.

Original languageEnglish
Title of host publication2018 IEEE Conference on Control Technology and Applications, CCTA 2018
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages927-932
Number of pages6
ISBN (Electronic)978-1-5386-7698-1
ISBN (Print)978-1-5386-7699-8
DOIs
Publication statusPublished - 21 Aug 2018
Event2nd IEEE Conference on Control Technology and Applications, CCTA 2018 - Copenhagen, Denmark
Duration: 21 Aug 201824 Aug 2018
Conference number: 2
http://ccta2018.ieeecss.org/

Conference

Conference2nd IEEE Conference on Control Technology and Applications, CCTA 2018
Abbreviated titleCCTA 2018
CountryDenmark
CityCopenhagen
Period21/08/1824/08/18
Internet address

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  • Cite this

    Nguyen, T. T., Lazar, M., & Butler, H. (2018). Nonlinear model predictive control of ironless linear motors. In 2018 IEEE Conference on Control Technology and Applications, CCTA 2018 (pp. 927-932). [8511445] Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CCTA.2018.8511445