A New Model Reference Adaptive Controller for Four Quadrant Vector Controlled Induction Motor Drives

Teja, A. V. Ravi; Chakraborty, Chandan; Maiti, Suman; Hori, Yoichi

doi:10.1109/tie.2011.2164769

Cited by 176 publications

(49 citation statements)

References 32 publications

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“…(1)- (5). These equations are for a squirrel cage induction motor with stator star connection considering linear magnetic circuit [8,18]. Table 1 lists all available variables of the induction motor.…”

Section: Induction Motor and Field-oriented Controlmentioning

confidence: 99%

Robust speed controller design for induction motors based on IFOC and Kharitonov theorem

Moaveni¹,

Khorshidi²

2015

Turk J Elec Eng & Comp Sci

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Abstract:In this paper, robust PI controllers are designed to control the speed of induction motors based on a vector control strategy. The design methodology defines the robust stability and robust performance regions in the kp − ki (PI controller coefficients) plane using the Kharitonov theorem. In the control system design procedure, a nonlinear induction motor is modeled as an uncertain linear model. The procedure of modeling the uncertainties is presented.The required scientific foundations for designing a robust PI controller are also introduced in the general case while the necessary equations are derived. In the final step, the design procedure for a special motor is presented thoroughly. The simulation results indicate the efficiency of the method.

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Section: Induction Motor and Field-oriented Controlmentioning

confidence: 99%

Robust speed controller design for induction motors based on IFOC and Kharitonov theorem

Moaveni¹,

Khorshidi²

2015

Turk J Elec Eng & Comp Sci

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“…The adaptive full-order observer shown in Fig.l (a) is can be constructed using (1), (2) and (3) as follows:…”

Section: A Adaptive Full Order Observermentioning

confidence: 99%

“…Furthermore stator current can be decoupled to flux and torque current (named as d-axis current and q-axis current) separately by vector control method and system dynamic response is improved [2].…”

Section: Introductionmentioning

confidence: 99%

Predictive current control method in induction motor speed sensorless drive

Sun

et al. 2014

2014 International Power Electronics Conference (IPEC-Hiroshima 2014 - ECCE ASIA)

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The sensorless vector control method in induction motor drives is utilized more and more popular in industry applications. The traditional current loop controller is PI regulator but its bandwidth is limited by switching frequency. In this paper a predictive current controller is proposed to solve the limitation of bandwidth in sensorless vector control system. The stability condition of proposed method is analyzed. Meanwhile the sensitivity of predictive system to motor parameters is analyzed and a robust predictive control method is proposed. To compared with bandwidth of PI control system, bandwidth of predictive is tested. The experiments results demonstratethat the bandwidth of proposed predictive system is higher than traditional PI regulator and the feasibility of proposed method is also proved.

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“…It is possible to estimate the speed from machine terminal voltages and currents [11]. Model Reference Adaptive System (MRAS) based sensor less vector controlled drives are commercially available without parameter variation problem, particularly near zero speed and increased accuracy of speed estimation [12][13][14]. This paper focus on the development of simulation model of MRAS based 5-phase induction motor by a simple approach of utilizing the built in blocks of matlab/simulink environment.…”

Section: Introductionmentioning

confidence: 99%

Speed Control of 5-Phase Induction Motor Drive using Model Reference Adaptive System

Sowmiya¹,

Devi²

2017

IJASTR

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Abstract-This paper presents the Speed Control of 5-Phase Induction Motor Drive using Model Reference Adaptive System. Multiphase motors provides lower torque pulsation, reduced current per phase without increasing the voltage per phase, reduced harmonic current, greater reliability, fault tolerance and minimal de-rating at occurrence of fault. A detailed Model Reference Adaptive System of 5-phase drive is elaborated in this paper. This method is an effective speed estimation technique that involves relatively easy implementation with high speed of adaptation over a wide range of applications. A dq-axis model of five phase induction motor fed by a five-phase inverter is developed and the proposed MRAS-based sensor less vector control drive has been simulated and results are presented to illustrate its performance.

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A New Model Reference Adaptive Controller for Four Quadrant Vector Controlled Induction Motor Drives

Cited by 176 publications

References 32 publications

Robust speed controller design for induction motors based on IFOC and Kharitonov theorem

Robust speed controller design for induction motors based on IFOC and Kharitonov theorem

Predictive current control method in induction motor speed sensorless drive

Speed Control of 5-Phase Induction Motor Drive using Model Reference Adaptive System

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