EPE Association: EPE 1997 – 85: Dialogue Session DS5m: ESTIMATION AND PARAMETER ANALYSIS

EPE 1997 – 85: Dialogue Session DS5m: ESTIMATION AND PARAMETER ANALYSIS
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 1997 - Conference > EPE 1997 – 85: Dialogue Session DS5m: ESTIMATION AND PARAMETER ANALYSIS

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   ROBUST KALMAN FILTERING IN DIRECT TORQUE CONTROL
By Ian R. Petersen; Duco W.J. Pulle [View]
[Download]

Abstract: This paper proposes a new robust approach to Direct Torque Control (DTC) of induction machines based on the use of a robust Kalman filter. In the continuous time direct torque scheme proposed, a state feedback (DTC) control law is combined with a robust Kalman filter which provides robust estimates of the rotor and stator fluxes. The robust Kalman filter is designed to be robust with respect to variations in the rotor and stator resistances. Simulation results show that the resulting robust DTC controller is considerably more robust with respect to rotor and stator resistance variations than the standard DTC controller. These simulation results are verified by experimental results in which the proposed robust DTC control scheme is applied to a 2.2kW machine.

   PARAMETER ESTIMATION FROM STEP EXCITATION TESTS ON A STATIONARY INDUCTION MOTOR
By K. R. Thompson; P. P. Acarnley [View]
[Download]

Abstract: This paper proposes a new method to determine the equivalent circuit parameters of an induction motor using a standstill test. The test is able to evaluate the full non-linear magnetisation curve and leakage curve, as well as the rotor and stator resistances.

   MODERN EXPERIMENTAL TOOLS FOR PARAMETER IDENTIFICATION AND FIELD-ORIENTED CONTROL DESIGN OF A SMALL POWER INDUCTION MACHINE
By C. Millet; D. Leroux; Y. Li; B. Feuvrie; C. Bergmann [View]
[Download]

Abstract: The purpose of this study is an identification and a field-oriented control simulated and realized with the same package software/hardware : « Matlab-Simulink/dSpace Card ».After a parameter identificataion of a small power actuator, a non-linear decoupling structure was establish to realize the current loop. Speed and position loop were achieved using the Matlab state space functions.

   A DIGITAL PARAMETER IDENTIFICATION FOR A VECTOR CONTROLLED INDUCTION MOTOR
By M. Tsuji; E. Yamada; F. Parasiliti; M. Tursini [View]
[Download]

Abstract: This paper presents a new vector control system for induction motor with parameter identification based on an adaptive full order observer. The proposed method is first introduced by using the continuous approach, then its implementation by a digital control algorithm is presented and discussed. Steady state and stability analyses including all discrete effects are investigated. A voltage compensation method is proposed to overcame the drawbacks due to discretization and digital control. Simulation results confirm the proposed method as an interesting alternative for vector controlled induction motors.

   ON LINE PARAMETERS ESTIMATIONS OF THE INDUCTION MACHINE MODEL USING ACTIVE AND REACTIVE POWER BALANCE FOR SPATIAL VECTORS OR FIELD ORIENTED DRIVES
By J. M. Aller Castro; A. Bueno Montilla [View]
[Download]

Abstract: In this work a new parameter estimation method of the induction machine model has been developed. The proposed method is based on instantaneous active and reactive power measurements, using field oriented equations of the squirrel cage motor. This approach considers the .static and quasi-static operational conditions. In static formulation, derivatives of the state vanables are neglected. In the quasi-static method, only first derivatives of the stator currents are needed. The method gives a very fast parameter estimation, the solution is obtained by linear regression and can be used to increase the control behavior in speed or position controllers by oriented field of the induction machine.

   IDENTIFICATION OF ROTOR PARAMETERS AND SPEED ESTIMATION IN INDUCTION MOTOR DRIVES
By C. Attaianese; A. Damiano; I. Marongiu; A. Perfetto [View]
[Download]

Abstract: Real-time identification of the rotor parameters with simultaneous speed estimation in induction motor drive is presented in the paper. The synthesis procedure of the identifier of the rotor parameters, based on the MRAC System Theory, allows to point out the estimation of rotor speed too. An appropriate choice of the reference model allows to find the updating law of the rotor parameters basis on the hyperstability approach. At the same time the adjustable model gives the rotor speed estimation which converges to its actual value as the rotor parameter error vector converges toward the origin. The parameters convergence is assured thanks to the Persistent Exciting propriety of the input vector. Computer simulations and a DSP-based system (TMS320C30), having 30MHz clock frequency, are used for testing the proposed identifier-estimator in a CRPWM inverter supplied drive.

   EXPERIMENTAL IDENTIFICATION OF ASYNCHRONOUS MACHINE
By P. Ph. Robet; M. Gauher; C. Bergmann; C. Millet; B. Feuvrie [View]
[Download]

Abstract: The four electrical parameters which characterize the model of an induction motor are identified simultaneously. The result is then used to deduce the mechanical parameters. We propose a new way to identify the parameters of a robot joint driven by an asynchronous machine. A closed loop identification of an inverse model which is linear in relation to the parameters is performed using least squares techniques and exciting trajectories. These trajectories minimize a criterion which is function of the condition number of an observation matrix. Experimental results are given.

   A MICROPROCESSOR-BASED SPEED REGULATOR USING STATE AND DISTURBANCE OBSERVER
By Maciej Tondos; Wojciech Mysinski [View]
[Download]

Abstract: In the paper principles of estimation of non-measurable state variables and external torque load in the drives with elastic motor shaft (two mass system) is presented. In many drive systems resilient couplings between the motor and processing machine, due to elastic shafts and gears often is unavoidable. General rules of state and disturbance observers designing, next to the drive system with elastic shaft adapted was given.

   AUTOMATIC INPUT/OUTPUT MODELING OF A SQUIRREL-CAGE INDUCTION MOTOR DRIVE SYSTEM USING NEURAL NETWORK
By J. F. Martins; A. J. Pires; J. A. Dente [View]
[Download]

Abstract: This paper presents an alternative input/output modelling of a squirrel-cage induction motor drive system. Usually these systems are modelled using state variables like rotor currents or linking fluxes, some of them extremely difficult to obtain. A neural network based learning through examples algorithm is used to represent the motor dynamics, using only input/output information. This is very important when implementing modem control techniques which require a precise modelling of the drive. The learning algorithm performance is verified through experimental results.

EPE 1997 – 85: Dialogue Session DS5m: ESTIMATION AND PARAMETER ANALYSIS
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 1997 - Conference > EPE 1997 – 85: Dialogue Session DS5m: ESTIMATION AND PARAMETER ANALYSIS
	[return to parent folder]

	ROBUST KALMAN FILTERING IN DIRECT TORQUE CONTROL By Ian R. Petersen; Duco W.J. Pulle	[View] [Download]
Abstract: This paper proposes a new robust approach to Direct Torque Control (DTC) of induction machines based on the use of a robust Kalman filter. In the continuous time direct torque scheme proposed, a state feedback (DTC) control law is combined with a robust Kalman filter which provides robust estimates of the rotor and stator fluxes. The robust Kalman filter is designed to be robust with respect to variations in the rotor and stator resistances. Simulation results show that the resulting robust DTC controller is considerably more robust with respect to rotor and stator resistance variations than the standard DTC controller. These simulation results are verified by experimental results in which the proposed robust DTC control scheme is applied to a 2.2kW machine.

	PARAMETER ESTIMATION FROM STEP EXCITATION TESTS ON A STATIONARY INDUCTION MOTOR By K. R. Thompson; P. P. Acarnley	[View] [Download]
Abstract: This paper proposes a new method to determine the equivalent circuit parameters of an induction motor using a standstill test. The test is able to evaluate the full non-linear magnetisation curve and leakage curve, as well as the rotor and stator resistances.

	MODERN EXPERIMENTAL TOOLS FOR PARAMETER IDENTIFICATION AND FIELD-ORIENTED CONTROL DESIGN OF A SMALL POWER INDUCTION MACHINE By C. Millet; D. Leroux; Y. Li; B. Feuvrie; C. Bergmann	[View] [Download]
Abstract: The purpose of this study is an identification and a field-oriented control simulated and realized with the same package software/hardware : « Matlab-Simulink/dSpace Card ».After a parameter identificataion of a small power actuator, a non-linear decoupling structure was establish to realize the current loop. Speed and position loop were achieved using the Matlab state space functions.

	A DIGITAL PARAMETER IDENTIFICATION FOR A VECTOR CONTROLLED INDUCTION MOTOR By M. Tsuji; E. Yamada; F. Parasiliti; M. Tursini	[View] [Download]
Abstract: This paper presents a new vector control system for induction motor with parameter identification based on an adaptive full order observer. The proposed method is first introduced by using the continuous approach, then its implementation by a digital control algorithm is presented and discussed. Steady state and stability analyses including all discrete effects are investigated. A voltage compensation method is proposed to overcame the drawbacks due to discretization and digital control. Simulation results confirm the proposed method as an interesting alternative for vector controlled induction motors.

	ON LINE PARAMETERS ESTIMATIONS OF THE INDUCTION MACHINE MODEL USING ACTIVE AND REACTIVE POWER BALANCE FOR SPATIAL VECTORS OR FIELD ORIENTED DRIVES By J. M. Aller Castro; A. Bueno Montilla	[View] [Download]
Abstract: In this work a new parameter estimation method of the induction machine model has been developed. The proposed method is based on instantaneous active and reactive power measurements, using field oriented equations of the squirrel cage motor. This approach considers the .static and quasi-static operational conditions. In static formulation, derivatives of the state vanables are neglected. In the quasi-static method, only first derivatives of the stator currents are needed. The method gives a very fast parameter estimation, the solution is obtained by linear regression and can be used to increase the control behavior in speed or position controllers by oriented field of the induction machine.

	IDENTIFICATION OF ROTOR PARAMETERS AND SPEED ESTIMATION IN INDUCTION MOTOR DRIVES By C. Attaianese; A. Damiano; I. Marongiu; A. Perfetto	[View] [Download]
Abstract: Real-time identification of the rotor parameters with simultaneous speed estimation in induction motor drive is presented in the paper. The synthesis procedure of the identifier of the rotor parameters, based on the MRAC System Theory, allows to point out the estimation of rotor speed too. An appropriate choice of the reference model allows to find the updating law of the rotor parameters basis on the hyperstability approach. At the same time the adjustable model gives the rotor speed estimation which converges to its actual value as the rotor parameter error vector converges toward the origin. The parameters convergence is assured thanks to the Persistent Exciting propriety of the input vector. Computer simulations and a DSP-based system (TMS320C30), having 30MHz clock frequency, are used for testing the proposed identifier-estimator in a CRPWM inverter supplied drive.

	EXPERIMENTAL IDENTIFICATION OF ASYNCHRONOUS MACHINE By P. Ph. Robet; M. Gauher; C. Bergmann; C. Millet; B. Feuvrie	[View] [Download]
Abstract: The four electrical parameters which characterize the model of an induction motor are identified simultaneously. The result is then used to deduce the mechanical parameters. We propose a new way to identify the parameters of a robot joint driven by an asynchronous machine. A closed loop identification of an inverse model which is linear in relation to the parameters is performed using least squares techniques and exciting trajectories. These trajectories minimize a criterion which is function of the condition number of an observation matrix. Experimental results are given.

	A MICROPROCESSOR-BASED SPEED REGULATOR USING STATE AND DISTURBANCE OBSERVER By Maciej Tondos; Wojciech Mysinski	[View] [Download]
Abstract: In the paper principles of estimation of non-measurable state variables and external torque load in the drives with elastic motor shaft (two mass system) is presented. In many drive systems resilient couplings between the motor and processing machine, due to elastic shafts and gears often is unavoidable. General rules of state and disturbance observers designing, next to the drive system with elastic shaft adapted was given.

	AUTOMATIC INPUT/OUTPUT MODELING OF A SQUIRREL-CAGE INDUCTION MOTOR DRIVE SYSTEM USING NEURAL NETWORK By J. F. Martins; A. J. Pires; J. A. Dente	[View] [Download]
Abstract: This paper presents an alternative input/output modelling of a squirrel-cage induction motor drive system. Usually these systems are modelled using state variables like rotor currents or linking fluxes, some of them extremely difficult to obtain. A neural network based learning through examples algorithm is used to represent the motor dynamics, using only input/output information. This is very important when implementing modem control techniques which require a precise modelling of the drive. The learning algorithm performance is verified through experimental results.