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Speed Tracking of Linear Induction Motor: an Analytical Nonlinear Model Predictive Controller
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2010 (English)In: Proceedings of the 2010 IEEE International Conference on Control Applications, 2010, 1939-1944 p.Conference paper, Published paper (Refereed)
Abstract [en]

Direct Torque Control (DTC) is considered as one of the latest and most efficient techniques that can be used for the speed and/or position tracking control problem of induction motor drives. However, the main drawbacks of classical DTC are the variable switching frequency that could exceed the maximum allowable switching frequency of inverters and also the ripples it has over the current and torque, especially at low speed tracking. It has been shown that applying Model Predictive Control (MPC) to a Linear Induction Motor (LIM) leads to a much better speed tracking performance. MPC provides the optimal 3-phase primary voltages necessary for speed tracking using a Pulse Width Modulation (PWM) inverter. The main inherent drawbacks of the MPC strategy are its high switching frequency and also its heavy computational load which makes it inapplicable in real-time. This paper presents a new analytical approach based on the MPC strategy. The new analytical approach controls directly the inverter switches. Hence the PWM inverter is not needed. It computes the optimal position transitions sequence of the inverter switches to track the speed reference trajectory. The proposed analytical nonlinear MPC controller includes an integral action to reduce the steady state error. The proposed controller admits real-time implementation. Simulation results show that the new analytical approach has good tracking properties at the same time as it reduces the average inverter switching frequency by 93 % as compared to classical DTC.

Place, publisher, year, edition, pages
2010. 1939-1944 p.
Keyword [en]
Nonlinear control systems, Position control, Predictive control, Speed tracking
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-63295DOI: 10.1109/CCA.2010.5611317ISBN: 978-1-4244-5362-7 (print)ISBN: 978-1-4244-5363-4 (print)OAI: oai:DiVA.org:liu-63295DiVA: diva2:377907
Conference
2010 IEEE International Conference on Control Applications, Yokohama, Japan, 8-10 September, 2010
Available from: 2010-12-15 Created: 2010-12-15 Last updated: 2013-07-09

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Hansson, Anders

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • Other style
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Language
  • de-DE
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  • fi-FI
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
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