EPE Association: EPE 1999 - Topic 04f: Adaptive Control

EPE 1999 - Topic 04f: Adaptive Control
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 1999 - Conference > EPE 1999 - Topic 04: CONTROL > EPE 1999 - Topic 04f: Adaptive Control

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   DSP Implementation of Sensorless Self-configuring controllers for...
By A.F. Stronach; P. Vas [View]
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Abstract: This paper describes the development and DSP implementation of fully sensorless, self-configuring controllers in an electromechanical drive incorporating a separately excited dc motor. The RLSestimator- based plant identification scheme is outlined and the controller structure and selfconfiguring design procedure employed for the feedback controllers are described. The development of recursive ANN-based rotor speed and armature and field current estimators is discussed. These estimators use only DSP-calculated values of armature and field voltage together with previous values of estimated speed and armature and field current to provide the speed and current estimates. This arrangement enables implementation of fully sensorless speed control of the drive incorporating both armature current limiting and field weakening. A further important advantage of the self-configuring controller strategy is that the controllers can be implemented from an initially open loop configuration thus eliminating the need for any a priori controller design. The simulated and experimental responses obtained show that excellent performance can be obtained using the proposed controller scheme. The DSP implementation requirements of the controllers and estimators are highlighted.

   Neuro-Adaptive Controllers for Electrical Drives Applications
By J. Kabzinski [View]
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Abstract: The main idea proposed in this paper is to combine neural modelling with adaptive control approach. The plant nonlineariety is modelled by an artificial intelligence system (ANN or a fuzzy model) and some of this system parameters are on-line adjusted by an adaptive law. System stability is investigated. Important applications of neuro-adaptive controllers are reported: torque compensation problem, speed and flux regulation of a current fed induction motor drive and speed regulation of brushless permanent magnet motor drive.

   On-line Tuning of Electric Drive Speed Controllers Using Genetic ...
By WG. da Silva; P.P. Acarnley; J.W. Finch [View]
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Abstract: This paper presents the use of a genetic algorithm for the on-line tuning of a Proportional-Integral-Derivative speed controller for a brushless DC motor drive. Included in the drive controller is a load torque estimator and torque feedforward. the influence of population size, generation number and rate of mutation on the convergence of the genetic algorithm is investigated and experimental results presented.

   Self-Learning Control of Pulse Converter Nonlinearities
By V. Wesselak; N. Klaaßen; F. Bauer [View]
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Abstract: A new self-learning control algorithm is presented, designed for plants with unknown cyclic or statedependent disturbances. Exemplified by the compensation of pulse converter nonlinearities the control structure is explained. The control performance is illustrated by measurements from a realtime experimental set-up.

   Sensorless Control of PMSM with an Adaptive Observer
By Y. Li; L. Jiang [View]
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Abstract: In this paper, an approach is presented for the speed control of permanent magnet synchronous motor (PMSM) without mechanical sensors. An adaptive observer is designed based on the theory of hyperstability to estimate the rotor speed and position of a PMSM. The validity of the proposed observer is confirmed by simulation experiments and its dynamic performance is improved by some technique modifications.

EPE 1999 - Topic 04f: Adaptive Control
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 1999 - Conference > EPE 1999 - Topic 04: CONTROL > EPE 1999 - Topic 04f: Adaptive Control
	[return to parent folder]

	DSP Implementation of Sensorless Self-configuring controllers for... By A.F. Stronach; P. Vas	[View] [Download]
Abstract: This paper describes the development and DSP implementation of fully sensorless, self-configuring controllers in an electromechanical drive incorporating a separately excited dc motor. The RLSestimator- based plant identification scheme is outlined and the controller structure and selfconfiguring design procedure employed for the feedback controllers are described. The development of recursive ANN-based rotor speed and armature and field current estimators is discussed. These estimators use only DSP-calculated values of armature and field voltage together with previous values of estimated speed and armature and field current to provide the speed and current estimates. This arrangement enables implementation of fully sensorless speed control of the drive incorporating both armature current limiting and field weakening. A further important advantage of the self-configuring controller strategy is that the controllers can be implemented from an initially open loop configuration thus eliminating the need for any a priori controller design. The simulated and experimental responses obtained show that excellent performance can be obtained using the proposed controller scheme. The DSP implementation requirements of the controllers and estimators are highlighted.

	Neuro-Adaptive Controllers for Electrical Drives Applications By J. Kabzinski	[View] [Download]
Abstract: The main idea proposed in this paper is to combine neural modelling with adaptive control approach. The plant nonlineariety is modelled by an artificial intelligence system (ANN or a fuzzy model) and some of this system parameters are on-line adjusted by an adaptive law. System stability is investigated. Important applications of neuro-adaptive controllers are reported: torque compensation problem, speed and flux regulation of a current fed induction motor drive and speed regulation of brushless permanent magnet motor drive.

	On-line Tuning of Electric Drive Speed Controllers Using Genetic ... By WG. da Silva; P.P. Acarnley; J.W. Finch	[View] [Download]
Abstract: This paper presents the use of a genetic algorithm for the on-line tuning of a Proportional-Integral-Derivative speed controller for a brushless DC motor drive. Included in the drive controller is a load torque estimator and torque feedforward. the influence of population size, generation number and rate of mutation on the convergence of the genetic algorithm is investigated and experimental results presented.

	Self-Learning Control of Pulse Converter Nonlinearities By V. Wesselak; N. Klaaßen; F. Bauer	[View] [Download]
Abstract: A new self-learning control algorithm is presented, designed for plants with unknown cyclic or statedependent disturbances. Exemplified by the compensation of pulse converter nonlinearities the control structure is explained. The control performance is illustrated by measurements from a realtime experimental set-up.

	Sensorless Control of PMSM with an Adaptive Observer By Y. Li; L. Jiang	[View] [Download]
Abstract: In this paper, an approach is presented for the speed control of permanent magnet synchronous motor (PMSM) without mechanical sensors. An adaptive observer is designed based on the theory of hyperstability to estimate the rotor speed and position of a PMSM. The validity of the proposed observer is confirmed by simulation experiments and its dynamic performance is improved by some technique modifications.