EPE Association: EPE-PEMC 2004 - Topic 04-5: Estimation techniques

EPE-PEMC 2004 - Topic 04-5: Estimation techniques
You are here: EPE Documents > 04 - EPE-PEMC Conference Proceedings > EPE-PEMC 2004 - Conference > EPE-PEMC 2004 - Topic 04: MEASUREMENTS AND SENSORS > EPE-PEMC 2004 - Topic 04-5: Estimation techniques

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   A Novel Approach For Harmonics Estimation Using Hybrid Genetic Algorithms
By Fateh Krim, Zakaria Abdelli [View]
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Abstract: A novel technique for harmonics estimation is considered, which is based on a modeling and identification method. The technique is designed using a mathematical model describing the signal harmonics and an identification hybrid genetic algorithm (GA) technique. This latter is used to estimate the parameters of each harmonic, which consist of the frequency, magnitude and phase-angle, of a uniformly sampled signal or data. The technique is tested using a computersimulated and experimentally obtained data record. The results are compared to those obtained by the conventional nonparametric spectral-analysis method which use the Discrete Fourier Transform DFT (FFT methods). The proposed method is general enough for any signal. In this paper we describe its application to the analysis of an ac controller signal .

   Analysis Of The Angular Error Due To The Shaft Eccentricity On A Brushless Resolver Using Finite Element Method
By Yoshinori Sakamoto, Masahito Okada, Mitsuo Natsusaka, Satoshi Kimura [View]
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Abstract: When a built-in resolver is incorporated into a motor shaft, there is sometimes a problem of an eccentricity error caused by mounting misalignment and tilting. This eccentricity error affects the sensing accuracy of the resolver and causes an angular error. This paper analyzes the angular error due to the shaft eccentricity of a brushless resolver using the finite element method.

   Comparison Of Gaas Based High Voltage Diode Stacks
By Viktor Vojtovich, Natalja Kuznetsova, Toomas Rang, Mihhail Pikkov, Jana Ruut [View]
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Abstract: The determination of technical requirements for GaAs epistructures intended for high voltage diode stacks has been made. The suitable doping level of p+ substrate was estimated by the contact resistance measurements. Analysis has shown that for the p+ substrates with the current densities about 0.5-1 A/cm2 the specific contact resistance depends weakly on doping concentration (at least in the range from 5x1018 to 1x1019cm–3). The measurements of I-V characteristics on high voltage diode stacks were done directly. These measurements showed that Al/p+-pin contacts for n-layer concentration (1x1015cm–3) have lock-type barrier causing very high voltage drops in diode stacks. For p+-pin-n+ structures the forward voltage drop depends on doping level as well as on epilayer thickness. The reverse voltage depends on pin-layer only. It was found that for diode stacks manufacture the suitable doping for p+ substrate is about 5x1018cm–3 and n+ layer doping in epitaxial p+-pin-n+ GaAs structures concentration must be higher than 1x1018cm-3.

   DSpace Platform For Speed Estimation Ac Slip-Ring Motor In Crane Mechatronic System
By Alen Poljugan(hr), Fetah Kolonic(hr), Alojz Slutej(se) [View]
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Abstract: This paper describes DSpace microprocessor platform and Matlab/Simulink environment for development of a speed estimation algorithm. The main principle of the estimation algorithm and proposal for algorithm change in sense of the system performances improvement are described. DSpace enables algorithm developing and testing just on a personal computer. Only final testing is made on the laboratory model of the mechatronic crane system.

   Parameters Estimation Of Permanent Magnet Synchronous Machine Without Adding Extra Excitation
By S. Moreau, R. Kahoul, J.-P. Louis [View]
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Abstract: In advanced motor control system, an accurate knowledge of motor parameters is essential in order to achieve a good performance. Some of these parameters, such as stator resistance are given by constructors, but they vary in different operating conditions. The purpose of this paper is to present an efficient dynamical identification method to estimate parameters of a Permanent Magnet Synchronous Machine (PMSM). Using this method, we can determine these parameters during different operating conditions. This method has been simulated and implemented in an experimental test bench using a dSpace board and obtained results proved the validity and efficiency of the proposed method. Physical parameters estimation of a dynamical 3-parameter model thanks to dynamical measurements is performed using an Output Error algorithm based on non linear optimisation. Simulations results show that, if PMSM is fed by a PWM inverter, no extra-signal, such as a Pseudo Random Binary Sequence (PRBS), adding on speed reference in vector control of PMSM, is necessary to excite the machine to assure identification algorithm convergence. Indeed an extra-signal can be considere as a disturbance in respect to the machine running.

EPE-PEMC 2004 - Topic 04-5: Estimation techniques
You are here: EPE Documents > 04 - EPE-PEMC Conference Proceedings > EPE-PEMC 2004 - Conference > EPE-PEMC 2004 - Topic 04: MEASUREMENTS AND SENSORS > EPE-PEMC 2004 - Topic 04-5: Estimation techniques
	[return to parent folder]

	A Novel Approach For Harmonics Estimation Using Hybrid Genetic Algorithms By Fateh Krim, Zakaria Abdelli	[View] [Download]
Abstract: A novel technique for harmonics estimation is considered, which is based on a modeling and identification method. The technique is designed using a mathematical model describing the signal harmonics and an identification hybrid genetic algorithm (GA) technique. This latter is used to estimate the parameters of each harmonic, which consist of the frequency, magnitude and phase-angle, of a uniformly sampled signal or data. The technique is tested using a computersimulated and experimentally obtained data record. The results are compared to those obtained by the conventional nonparametric spectral-analysis method which use the Discrete Fourier Transform DFT (FFT methods). The proposed method is general enough for any signal. In this paper we describe its application to the analysis of an ac controller signal .

	Analysis Of The Angular Error Due To The Shaft Eccentricity On A Brushless Resolver Using Finite Element Method By Yoshinori Sakamoto, Masahito Okada, Mitsuo Natsusaka, Satoshi Kimura	[View] [Download]
Abstract: When a built-in resolver is incorporated into a motor shaft, there is sometimes a problem of an eccentricity error caused by mounting misalignment and tilting. This eccentricity error affects the sensing accuracy of the resolver and causes an angular error. This paper analyzes the angular error due to the shaft eccentricity of a brushless resolver using the finite element method.

	Comparison Of Gaas Based High Voltage Diode Stacks By Viktor Vojtovich, Natalja Kuznetsova, Toomas Rang, Mihhail Pikkov, Jana Ruut	[View] [Download]
Abstract: The determination of technical requirements for GaAs epistructures intended for high voltage diode stacks has been made. The suitable doping level of p+ substrate was estimated by the contact resistance measurements. Analysis has shown that for the p+ substrates with the current densities about 0.5-1 A/cm2 the specific contact resistance depends weakly on doping concentration (at least in the range from 5x1018 to 1x1019cm–3). The measurements of I-V characteristics on high voltage diode stacks were done directly. These measurements showed that Al/p+-pin contacts for n-layer concentration (1x1015cm–3) have lock-type barrier causing very high voltage drops in diode stacks. For p+-pin-n+ structures the forward voltage drop depends on doping level as well as on epilayer thickness. The reverse voltage depends on pin-layer only. It was found that for diode stacks manufacture the suitable doping for p+ substrate is about 5x1018cm–3 and n+ layer doping in epitaxial p+-pin-n+ GaAs structures concentration must be higher than 1x1018cm-3.

	DSpace Platform For Speed Estimation Ac Slip-Ring Motor In Crane Mechatronic System By Alen Poljugan(hr), Fetah Kolonic(hr), Alojz Slutej(se)	[View] [Download]
Abstract: This paper describes DSpace microprocessor platform and Matlab/Simulink environment for development of a speed estimation algorithm. The main principle of the estimation algorithm and proposal for algorithm change in sense of the system performances improvement are described. DSpace enables algorithm developing and testing just on a personal computer. Only final testing is made on the laboratory model of the mechatronic crane system.

	Parameters Estimation Of Permanent Magnet Synchronous Machine Without Adding Extra Excitation By S. Moreau, R. Kahoul, J.-P. Louis	[View] [Download]
Abstract: In advanced motor control system, an accurate knowledge of motor parameters is essential in order to achieve a good performance. Some of these parameters, such as stator resistance are given by constructors, but they vary in different operating conditions. The purpose of this paper is to present an efficient dynamical identification method to estimate parameters of a Permanent Magnet Synchronous Machine (PMSM). Using this method, we can determine these parameters during different operating conditions. This method has been simulated and implemented in an experimental test bench using a dSpace board and obtained results proved the validity and efficiency of the proposed method. Physical parameters estimation of a dynamical 3-parameter model thanks to dynamical measurements is performed using an Output Error algorithm based on non linear optimisation. Simulations results show that, if PMSM is fed by a PWM inverter, no extra-signal, such as a Pseudo Random Binary Sequence (PRBS), adding on speed reference in vector control of PMSM, is necessary to excite the machine to assure identification algorithm convergence. Indeed an extra-signal can be considere as a disturbance in respect to the machine running.