EPE Association: EPE 2009 - Subtopic 07-1 - LS: 'Application of Control Methods to Electrical Systems'

EPE 2009 - Subtopic 07-1 - LS: 'Application of Control Methods to Electrical Systems'
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2009 - Conference > EPE 2009 - Topic 07: 'Application of Control Methods to Electrical Systems' > EPE 2009 - Subtopic 07-1 - LS: 'Application of Control Methods to Electrical Systems'

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   Adaptive Sliding-mode Neuro-Fuzzy Control of the Sensorless Induction Motor Drive System with MRAS\_CC Estimator
By Teresa ORLOWSKA-KOWALSKA, Mateusz DYBKOWSKI, Krzysztof SZABAT [View]
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Abstract: In the paper a model reference adaptive sliding-mode control using on-line trained fuzzy neural network is applied to the sensorless induction motor drive system with MRAS type speed estimator. In this control structure adaptive sliding-mode neuro-fuzzy controller (ASNFC) is used as a speed controller, in the direct field oriented control structure. Connective weights of this controller are trained on-line according to the error between the actual speed of the drive and the reference model output signal. The rotor flux and speed of the vector controlled induction motor are estimated using the novel MRASCC estimator. Simulation results are verified in experimental tests.

   Model Predictive Direct Torque Control for MV Drives with LC Filters
By Silvia MASTELLONE, Georgios PAPAFOTIOU, Evangelos LIAKOS [View]
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Abstract: This document describes the implementation of the Model Predictive Direct Torque Control (MPDTC) algorithm for the control of three-phase induction motor drives comprising a three-level dc-link inverter with an output LC filter. As the filter introduces delays in the system, the motor torque and flux are no longer directly controllable. Therefore the inverter torque and flux are introduced and the MPDTC scheme is redesigned to keep them and the inverterâ€™s neutral point potential within given hysteresis bounds also according to todayâ€™s state-of-the-art solution with DTC. Moreover the MPDTC control objective is altered to target directly the reduction of the inverter switching losses rather than the switching frequency, resulting in a significant reduction of the switching losses with respect to standard DTC. Simulation results are provided, analyzing the benefits of MPDTC in terms of inverter switching losses reduction (which for 90\% speed and full load amount to 22\%) as opposed to a measure of the motorâ€™s losses, namely the motorâ€™s current and torque THD.

   LQG-based Voltage Control of the Single-Phase Inverter for Noisy Environment
By Pasi PELTONIEMI, Pasi NUUTINEN, Markku NIEMELÃ„, Juha PYRHÃ–NEN [View]
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Abstract: Linear Quadratic Gaussian (LQG) based phase voltage control is implemented. The regulation performance, estimation accuracy and interference sensitivity of different LQG control schemes is evaluated and compared. Paper reveals that it is possible to make the control system more insensitive to EMI when compared to dual-loop PI control and that the synchronous co-ordinate control scheme's all-around performance is the best.

EPE 2009 - Subtopic 07-1 - LS: 'Application of Control Methods to Electrical Systems'
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2009 - Conference > EPE 2009 - Topic 07: 'Application of Control Methods to Electrical Systems' > EPE 2009 - Subtopic 07-1 - LS: 'Application of Control Methods to Electrical Systems'
	[return to parent folder]

	Adaptive Sliding-mode Neuro-Fuzzy Control of the Sensorless Induction Motor Drive System with MRAS\_CC Estimator By Teresa ORLOWSKA-KOWALSKA, Mateusz DYBKOWSKI, Krzysztof SZABAT	[View] [Download]
Abstract: In the paper a model reference adaptive sliding-mode control using on-line trained fuzzy neural network is applied to the sensorless induction motor drive system with MRAS type speed estimator. In this control structure adaptive sliding-mode neuro-fuzzy controller (ASNFC) is used as a speed controller, in the direct field oriented control structure. Connective weights of this controller are trained on-line according to the error between the actual speed of the drive and the reference model output signal. The rotor flux and speed of the vector controlled induction motor are estimated using the novel MRASCC estimator. Simulation results are verified in experimental tests.

	Model Predictive Direct Torque Control for MV Drives with LC Filters By Silvia MASTELLONE, Georgios PAPAFOTIOU, Evangelos LIAKOS	[View] [Download]
Abstract: This document describes the implementation of the Model Predictive Direct Torque Control (MPDTC) algorithm for the control of three-phase induction motor drives comprising a three-level dc-link inverter with an output LC filter. As the filter introduces delays in the system, the motor torque and flux are no longer directly controllable. Therefore the inverter torque and flux are introduced and the MPDTC scheme is redesigned to keep them and the inverterâ€™s neutral point potential within given hysteresis bounds also according to todayâ€™s state-of-the-art solution with DTC. Moreover the MPDTC control objective is altered to target directly the reduction of the inverter switching losses rather than the switching frequency, resulting in a significant reduction of the switching losses with respect to standard DTC. Simulation results are provided, analyzing the benefits of MPDTC in terms of inverter switching losses reduction (which for 90\% speed and full load amount to 22\%) as opposed to a measure of the motorâ€™s losses, namely the motorâ€™s current and torque THD.

	LQG-based Voltage Control of the Single-Phase Inverter for Noisy Environment By Pasi PELTONIEMI, Pasi NUUTINEN, Markku NIEMELÃ„, Juha PYRHÃ–NEN	[View] [Download]
Abstract: Linear Quadratic Gaussian (LQG) based phase voltage control is implemented. The regulation performance, estimation accuracy and interference sensitivity of different LQG control schemes is evaluated and compared. Paper reveals that it is possible to make the control system more insensitive to EMI when compared to dual-loop PI control and that the synchronous co-ordinate control scheme's all-around performance is the best.