EPE Association: EPE 2016 - LS1c: Control of Electrical Machines

EPE 2016 - LS1c: Control of Electrical Machines
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2016 ECCE Europe - Conference > EPE 2016 - Topic 04: Electrical Machines and Drive Systems > EPE 2016 - LS1c: Control of Electrical Machines

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   Active Flux Based Finite Control Set Model Predictive Control of Synchronous Reluctance Motor Drives
By Hazem HADLA [View]
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Abstract: This paper presents two new finite control set model predictive control (FCS-MPC) strategies for synchronous reluctance motor (SynRM) drives, using the active flux concept. Both control strategies guarantee a fast and independent control of the torque and active flux of the SynRM, in order to obtain a high performance drive. The first strategy relies on a more conventional implementation of a FCS-MPC algorithm, which requires some effort to tune the weighting factors used in the cost function. The second control approach corresponds to a simplification of the first one, and allows a reduction of the calculation time associated to the predictions stage of the algorithm and, at the same time, avoids the use of weighting factors in the cost function. This allows to simplify the implementation of the control system, obtaining the same dynamic performance as with the first strategy. Experimental and simulation results verify the validity and effectiveness of the two proposed control schemes for SynRM drives. Furthermore, a state-of-the-art control technique like direct torque control is also considered in the paper, for performance comparison purposes.

   Operating Point Dependent Anisotropies and Assessment for Position-Sensorless Control
By Wolfgang HAMMEL [View]
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Abstract: Position-sensorless speed and position control of surface mounted permanent magnet synchronous machines(SMPMSMs) is of special interest in industrial automation due to their high efficiency and simpledesign. In the low speed range and at standstill high frequency injection based control schemes areemployed in order to maintain field oriented control.These methods exploit rotor-position dependent anisotropies of the stator inductances which are measuredas a response signal to the injected high frequency excitation. The rotor-position dependency ofthe stator inductances is either caused by a geometrical saliency of the rotor structure of by local magneticsaturation caused by the permanent magnet field.However, a SMPMSM typically has no geometrical saliency and the anisotropy is therefore solely causedby magnetic saturation and is therefore very small. Moreover the inductive anisotropy is also influencedby the presence of the torque producing fundamental wave stator current components. This typicallyresults in nonlinear functions of the differential inductive parameters. The operating point dependentbehavior of the anisotropy must be described and analyzed in order to be able to deduce the correct rotorposition from the measured high frequency response.This paper introduces an operating point dependent description of the anisotropy parameters in a generalapplicable form. A procedure to measure these dependencies is shown and criteria are derived to assessthe observability of the rotor position from the measured anisotropy data. This can be used to compensatefor load torque dependent position errors and also rotor-position dependent harmonic distortions. Finallya new criterion is introduced that allows to assess the stability of a closed loop position observer whichuses the high frequency response as a feedback signal.

   Predictive Current Control and Online Parameter Identification of Interior Permanent Magnet Synchronous Machines
By Simon DECKER [View]
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Abstract: This paper presents an online parameter identification method for interior permanent magnet synchronous machines with nonlinear magnetics. Usually model based control schemes are used to ensure dynamic,stable and accurate control. These schemes contain machine models with offline measured parametersthat are stored in lookup tables. Extensive offline parametrization can be avoided when parameters areobtained online during regular drive operation. The proposed online parameter identification methodenables fast identification of differential inductances and flux linkages within the short duration of twocontrol periods using manipulated reference currents. Thereby, online identification of the parameterlookup tables and self-commissioning of deadbeat controllers is possible.

   Using Volt-sec. Sensing to Extend the Low Speed Range and the Disturbance Rejection Capability of Back-EMF-based Self-Sensing Induction Machine Drives
By Robert LORENZ [View]
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Abstract: This paper introduces usage of Volt-sec. sensing in back-EMF-based self-sensing (sensorless) induction machine drives. In practice, both inverter non-linearity and dc bus voltage affect back-EMF estimation accuracy, and therefore self-sensing performance. A real-time Volt-sec. sensing scheme to measure the terminal Volt-sec. vector for each switching period is introduced in the paper. The measured Volt-sec. information can be used in the back-EMF state filter such that the effects from inverter non-linearity and dc bus voltage measurement errors are mitigated. The resulting extended low speed range and enhanced disturbance rejection capability are quantified via experimental evaluation.

EPE 2016 - LS1c: Control of Electrical Machines
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2016 ECCE Europe - Conference > EPE 2016 - Topic 04: Electrical Machines and Drive Systems > EPE 2016 - LS1c: Control of Electrical Machines
	[return to parent folder]

	Active Flux Based Finite Control Set Model Predictive Control of Synchronous Reluctance Motor Drives By Hazem HADLA	[View] [Download]
Abstract: This paper presents two new finite control set model predictive control (FCS-MPC) strategies for synchronous reluctance motor (SynRM) drives, using the active flux concept. Both control strategies guarantee a fast and independent control of the torque and active flux of the SynRM, in order to obtain a high performance drive. The first strategy relies on a more conventional implementation of a FCS-MPC algorithm, which requires some effort to tune the weighting factors used in the cost function. The second control approach corresponds to a simplification of the first one, and allows a reduction of the calculation time associated to the predictions stage of the algorithm and, at the same time, avoids the use of weighting factors in the cost function. This allows to simplify the implementation of the control system, obtaining the same dynamic performance as with the first strategy. Experimental and simulation results verify the validity and effectiveness of the two proposed control schemes for SynRM drives. Furthermore, a state-of-the-art control technique like direct torque control is also considered in the paper, for performance comparison purposes.

	Operating Point Dependent Anisotropies and Assessment for Position-Sensorless Control By Wolfgang HAMMEL	[View] [Download]
Abstract: Position-sensorless speed and position control of surface mounted permanent magnet synchronous machines(SMPMSMs) is of special interest in industrial automation due to their high efficiency and simpledesign. In the low speed range and at standstill high frequency injection based control schemes areemployed in order to maintain field oriented control.These methods exploit rotor-position dependent anisotropies of the stator inductances which are measuredas a response signal to the injected high frequency excitation. The rotor-position dependency ofthe stator inductances is either caused by a geometrical saliency of the rotor structure of by local magneticsaturation caused by the permanent magnet field.However, a SMPMSM typically has no geometrical saliency and the anisotropy is therefore solely causedby magnetic saturation and is therefore very small. Moreover the inductive anisotropy is also influencedby the presence of the torque producing fundamental wave stator current components. This typicallyresults in nonlinear functions of the differential inductive parameters. The operating point dependentbehavior of the anisotropy must be described and analyzed in order to be able to deduce the correct rotorposition from the measured high frequency response.This paper introduces an operating point dependent description of the anisotropy parameters in a generalapplicable form. A procedure to measure these dependencies is shown and criteria are derived to assessthe observability of the rotor position from the measured anisotropy data. This can be used to compensatefor load torque dependent position errors and also rotor-position dependent harmonic distortions. Finallya new criterion is introduced that allows to assess the stability of a closed loop position observer whichuses the high frequency response as a feedback signal.

	Predictive Current Control and Online Parameter Identification of Interior Permanent Magnet Synchronous Machines By Simon DECKER	[View] [Download]
Abstract: This paper presents an online parameter identification method for interior permanent magnet synchronous machines with nonlinear magnetics. Usually model based control schemes are used to ensure dynamic,stable and accurate control. These schemes contain machine models with offline measured parametersthat are stored in lookup tables. Extensive offline parametrization can be avoided when parameters areobtained online during regular drive operation. The proposed online parameter identification methodenables fast identification of differential inductances and flux linkages within the short duration of twocontrol periods using manipulated reference currents. Thereby, online identification of the parameterlookup tables and self-commissioning of deadbeat controllers is possible.

	Using Volt-sec. Sensing to Extend the Low Speed Range and the Disturbance Rejection Capability of Back-EMF-based Self-Sensing Induction Machine Drives By Robert LORENZ	[View] [Download]
Abstract: This paper introduces usage of Volt-sec. sensing in back-EMF-based self-sensing (sensorless) induction machine drives. In practice, both inverter non-linearity and dc bus voltage affect back-EMF estimation accuracy, and therefore self-sensing performance. A real-time Volt-sec. sensing scheme to measure the terminal Volt-sec. vector for each switching period is introduced in the paper. The measured Volt-sec. information can be used in the back-EMF state filter such that the effects from inverter non-linearity and dc bus voltage measurement errors are mitigated. The resulting extended low speed range and enhanced disturbance rejection capability are quantified via experimental evaluation.