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 EPE 1997 – 22: Lecture Session L6b: ESTIMATION TECHNIQUES 
 You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 1997 - Conference > EPE 1997 – 22: Lecture Session L6b: ESTIMATION TECHNIQUES 
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   A NOVEL SATURATION ADAPTIVE ROTOR FLUX ESTIMATOR FOR ROTOR FLUX ORIENTED INDUCTION MACHINES 
 By E Levi; M Sokola 
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Abstract: The paper proposes a novel rotor flux estimator with capability of instantaneous adaptation to the actual saturation level in the machine. The estimator is based on measurements of stator currents and rotor speed and is obtained from a recently introduced saturated induction machine model in which stator current and rotor flux d-q axis components arc selected as state-space variables. Pcrfommnce of the estimator is verified by simulation. The complexity of the estimator and requirements regarding determination of appropriate magnetising curve of the machine are compared with other existing approaches. Favourable conclusions are drawn with respect to the estimator proposed in this paper.

 
   Comparative study of identification methods for induction machines 
 By G. Clerc; D.R. Cloutier; C. Besson; N. Bellaaj M'Rabet; J.M. Retif 
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Abstract: Vector control of AC machines provides high performance and uncoupled control of flux and torque. But wrong electric parameters can induce torque ripple and instability. They decrease dynamic behavior of the system. Thus, unbiased and accurate estimation of parameters must be performed. This paper presents a comparative study of identifiers based on deterministic or stochastic optimization tools: Simplex, Simulated annealing and Genetic. It gives a short explanation of their behavior and a presentation of their main characteristics. These algorithms are tested on benchmarks. The influence of the measurement noise and the effect of the initial estimated vector , on the final estimated parameters of a simulated induction machine, is studied. Finally, these tools are applied on a real case.

 
   SALIENT POLE SYNCHRONOUS MOTOR PARAMETER ESTIMATION IN A DIRECT FLUX LINKAGE CONTROLLED DRIVE 
 By J. Kaukonen, J. Pyrhönen, J. Luukko, M. Niemelä, O. Pyrhönen; P. Tiitinen, J. Väänänen 
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Abstract: AC-drives based on direct t1ux linkage control (DFLC) allow high dynamic performance combined with simple control schemes. In general the DFCL cannot be adapted alone in motor control without machine voltage measurement. If voltage measurement is not used the measurement of the intermediate voltage and the knowledge of the switching states are used to calculate motor voltages. This easily contains too much error and the stator flux linkage calculation based on the voltage integral becomes unreliable. Motor current measurement is automatically adopted in modern drives and an inductance based current model for the machine is used to make corrections for the stator flux linkage estimation. Here machine parameters are needed. In this paper the synchronous motor model, parameter identification during drive commissioning and parameter estimation during the drive are briefly introduced.

 
   WIDE BANDWIDTH FLUX, POSITION, AND VELOCITY ESTIMATION IN AC MACHINES AT ANY SPEED (INCLUDING ZERO) USING MULTIPLE SALIENCIES 
 By M.W. Degner; R.D. Lorenz 
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Abstract: This paper presents a general solution to the problem of tracking spatial saliencics for the estimation of flux, position and velocity in ac machines. Specifically a machine model is presented which accurately models the behavior of ac machines with multiple spatial harmonics. The effects that these multiple spatial hannonics have on flux, position, and velocity estimation is analyzcd, and methods arc presented utilizing multiple spatial harmonics to provide wide bandwidth estimates of flux, rotor position, and velocity.

 
   ON-LINE ROTOR-RESISTANCE ESTIMATION FOR INDUCTION MOTORS 
 By A. Garda-Cerrada; J.L. Zamora 
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Abstract: This paper presents a recursive algorithm to estimate the rotor resistance in induction motors from stator measurements based on a linear regression model of the motor. Especial attention will be given to the robustness of the algorithm to errors in measurements and "known" parameters. Rotor-resistance estimation is discussed with and without rotor-speed measurement. The main contributions have been validated using simulation and field-tests results from a typical 15 kW induction motor.