A Microcomputer-Based Optimal Control System to Reduce the Effects of the Parametric Variations and Speed Measurement Errors in Induction Motor Drives

Bellini, A.; Figalli, G.; Ulivi, Giovanni

doi:10.1109/tia.1986.4504679

Cited by 24 publications

(3 citation statements)

References 10 publications

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“…[ 21 two-degree-of-freedom controller 1.31, optimal controller [4], variable structure system controller [SI, adaptive controller [ 61-1 81 and robust controller [ I 1. 121 have been developed to improve the performance of induction motor drives.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy controller improving a linear model following controller for motor drives

Kung

Liaw

1994

IEEE Trans. Fuzzy Syst.

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Since the dynamic response trajectory of a traditional fuzzy controller can not be quantitatively controlled, a fuzzy model following controller is proposed in this paper. In the proposed controller, an output feedback linear model following controller (LMFC) is first designed according to the roughly estimated plant model to let its response follow the output generated by a reference model. Then a model following error driven control signal is synthesized such that good model following characteristics can be preserved at various operating conditions. The proposed controller is applied to the speed control of an induction motor drive. Dynamic signal analysis of the model following behavior is made and the procedure for constructing the control algorithms is detailedly described. The performance of the drive and the effectiveness of the proposed controller are demonstrated by some simulated and experimental results.

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Section: Introductionmentioning

confidence: 99%

A fuzzy controller improving a linear model following controller for motor drives

Kung

Liaw

1994

IEEE Trans. Fuzzy Syst.

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“…which take explicitly into account the nonlinear nature of the model, based on the application of optimal [5,6] or adaptive [7,8] control methodologies. Recently, the nonlinear control theory based on the differentialgeometric approach has achieved valuable results in the area of feedback linearization and decoupling of the class of smooth nonlinear systems which are linear i n the inputs [9,10,ll].…”

Section: Introductionmentioning

confidence: 99%

Full linearization of induction motors via nonlinear state-feedback

Luca

Ulivi

1987

26th IEEE Conference on Decision and Control

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A novel approach to the control of induction motors is presented, based on differential-geonletri: concepts for the control of nonlinear systems. Structural properties of the model are pointed out and a proper selection of system outputs is indicated which yields, via static state-feedback, exact state linenrizntion and input-output decoupling of the closed-loop system. The proposed approach has been used to design a con:rol:er for motor torque and flux.Simulation tests are Included.

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“…The dynamic measurements of the angular speed as a function of time are taken during the start and after the end of the transition process, and the measurements in the process of the self-braking mode are not carried out. The authors in [10,11] describe the use of a curve-fitting technique to deduce the nominal torque-speed characteristic of a three-phase induction motor from the speed data obtained in a no-load acceleration test. In paper [12] the authors propose the measuring method of the rotor moment of inertia at the use of various numbers of additional flywheels.…”

mentioning

confidence: 99%

Computer-measuring system of the induction motor’s dynamical torque-speed characteristics

Kucheruk¹,

Kurytnik²,

Oshanov³

et al. 2019

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Computer-measuring system of the induction motor's dynamical torque-speed characteristics In the article an efficient method of determining the dynamic torque-speed characteristic of induction motors and the computer-measuring system for its realization is considered. In this method, the additional flywheel is used, the dynamic measurements of the angular speed as a function of time are taken at the start, after the end of the transition process, and at during the self-braking mode of the induction motor. For approximating the data that are obtained as a result of the measurements, the moving average algorithm is used. Also, with the help of this system, the inertia moment, angular speed dependence on time, electromagnetic dynamic moment dependence on time, electromagnetic dynamic power dependence on time, mechanical dynamic power dependence on time, and dynamic loss in rotor winds dependence on time are measured. In the article, the results of experimental measurements of the induction motor characteristics using a proposed computermeasuring system are given. The proposed system is experimental; in the future, it can be used to test induction motors during their production processes.

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A Microcomputer-Based Optimal Control System to Reduce the Effects of the Parametric Variations and Speed Measurement Errors in Induction Motor Drives

Cited by 24 publications

References 10 publications

A fuzzy controller improving a linear model following controller for motor drives

A fuzzy controller improving a linear model following controller for motor drives

Full linearization of induction motors via nonlinear state-feedback

Computer-measuring system of the induction motor’s dynamical torque-speed characteristics

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