EPE Association: Pelincec 2005 - 09: Intelligent Control

Pelincec 2005 - 09: Intelligent Control - Drives
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   Permanent Magnet Synchronous Motor Drive Simulator using C++
By M. Cirstea, A. Dinu, S. Redpath, V. Comnac [View]
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Abstract: A novel control strategy, applicable to Permanent Magnet Synchronous Motors (PMSMs), was investigated and modelled by an academic team in collaboration with NEC Electronics Europe GmbH. The company has recently developed a new microcontroller, based on a simple sensorless control principle of PMSMs, which is equally applicable to Brushless DC Machines. The use of the new microcontroller in drive systems was modelled by the university research team using Visual C++ and was compared with a traditional control method for PMSMs. Extensive simulations were carried out and the results validated the new control principle, which is simple to implement and cost effective if using the novel NEC Electronics Europe GmbH microcontroller. The performance obtained in comparison with the classical control method proves the novel control strategy to be at least as effective as classical one, at reduced cost. Typical applications are in white goods industries.

   Synthesis of Robust Speed Controller Based on Artificial Neural Network for Permanent Magnet Synchronous Motor
By Tomasz Pajchrowski, Krzysztof Zawirski [View]
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Abstract: The paper deals with the problem of an artificial neural network (ANN) application to robust speed control of electrical servodrives. A robust speed controller is developed using the ANN, which creates a nonlinear characteristic of controller. A new method of neural controller synthesis is presented. The synthesis procedure is performed in two stages. The first stage consists in training the ANN and at the second stage controller settings are adjusted. The use of the proposed controller synthesis procedure ensures robust speed control against the variations of moment of inertia and stator magnetic flux. Simulations and laboratory results validate the robustness of the servodrive with Permanent Magnet Synchronous Motor.

   Rotor Flux and Speed Observers for Induction Motors
By Stefen Hui, Chunki Kwon, Scott D. Sudhoff, Stanislaw H. Zak [View]
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Abstract: The objective of this paper is to investigate the use of observers in the sensorless control of induction motor drives. First, three recently proposed rotor flux and speed observers for induction motors are analyzed and compared using a unified notation. Unresolved issues for each method are noted. Then, an alternative rotor flux and speed observer architecture is described, which is simulated and tested experimentally. The conclusion of our study is that observers can perform well estimating the rotor speed and the estimates can be used in a control strategy instead of speed values obtained by the sensors.

   Model Reference Adaptive Neuro-Fuzzy Control of Electrical Drives with Stiff or Elastic Joints
By Krzysztof Szabat, Teresa Orlowska-Kowalska [View]
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Abstract: In the paper a robust control system with fuzzyneural network was proposed. A model reference adaptive control system (MRAC) was applied to the one- and two-mass system. The influence of the number of the neuro-fuzzy controller rules was shown. The dynamical properties of the MRAC system with neuro-fuzzy and classical PI controllers were compared. The control structure with constant and changeable adaptation parameters was examined. The comparison of the dynamical characteristic between the utilized structures of the neuro-fuzzy controllers was done. The torsional vibration suppression in the two-mass system was obtained in the structure with only one feedback from the motor speed.

Pelincec 2005 - 09: Intelligent Control - Drives
You are here: EPE Documents > 05 - EPE Supported Conference Proceedings > Pelincec 2005 > Pelincec 2005 - 09: Intelligent Control - Drives
	[return to parent folder]

	Permanent Magnet Synchronous Motor Drive Simulator using C++ By M. Cirstea, A. Dinu, S. Redpath, V. Comnac	[View] [Download]
Abstract: A novel control strategy, applicable to Permanent Magnet Synchronous Motors (PMSMs), was investigated and modelled by an academic team in collaboration with NEC Electronics Europe GmbH. The company has recently developed a new microcontroller, based on a simple sensorless control principle of PMSMs, which is equally applicable to Brushless DC Machines. The use of the new microcontroller in drive systems was modelled by the university research team using Visual C++ and was compared with a traditional control method for PMSMs. Extensive simulations were carried out and the results validated the new control principle, which is simple to implement and cost effective if using the novel NEC Electronics Europe GmbH microcontroller. The performance obtained in comparison with the classical control method proves the novel control strategy to be at least as effective as classical one, at reduced cost. Typical applications are in white goods industries.

	Synthesis of Robust Speed Controller Based on Artificial Neural Network for Permanent Magnet Synchronous Motor By Tomasz Pajchrowski, Krzysztof Zawirski	[View] [Download]
Abstract: The paper deals with the problem of an artificial neural network (ANN) application to robust speed control of electrical servodrives. A robust speed controller is developed using the ANN, which creates a nonlinear characteristic of controller. A new method of neural controller synthesis is presented. The synthesis procedure is performed in two stages. The first stage consists in training the ANN and at the second stage controller settings are adjusted. The use of the proposed controller synthesis procedure ensures robust speed control against the variations of moment of inertia and stator magnetic flux. Simulations and laboratory results validate the robustness of the servodrive with Permanent Magnet Synchronous Motor.

	Rotor Flux and Speed Observers for Induction Motors By Stefen Hui, Chunki Kwon, Scott D. Sudhoff, Stanislaw H. Zak	[View] [Download]
Abstract: The objective of this paper is to investigate the use of observers in the sensorless control of induction motor drives. First, three recently proposed rotor flux and speed observers for induction motors are analyzed and compared using a unified notation. Unresolved issues for each method are noted. Then, an alternative rotor flux and speed observer architecture is described, which is simulated and tested experimentally. The conclusion of our study is that observers can perform well estimating the rotor speed and the estimates can be used in a control strategy instead of speed values obtained by the sensors.

	Model Reference Adaptive Neuro-Fuzzy Control of Electrical Drives with Stiff or Elastic Joints By Krzysztof Szabat, Teresa Orlowska-Kowalska	[View] [Download]
Abstract: In the paper a robust control system with fuzzyneural network was proposed. A model reference adaptive control system (MRAC) was applied to the one- and two-mass system. The influence of the number of the neuro-fuzzy controller rules was shown. The dynamical properties of the MRAC system with neuro-fuzzy and classical PI controllers were compared. The control structure with constant and changeable adaptation parameters was examined. The comparison of the dynamical characteristic between the utilized structures of the neuro-fuzzy controllers was done. The torsional vibration suppression in the two-mass system was obtained in the structure with only one feedback from the motor speed.