Space Vector Pulse Width Modulation Based Induction Motor Speed Control Using FPGA

Arulmozhiyal, R.; Baskaran, K.; Devarajan, N.; Kanagaraj, J.

doi:10.1109/icetet.2009.208

Cited by 12 publications

(11 citation statements)

References 4 publications

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“…SVPWM is based on the fact that there are only two independent variables in three-phase voltage system. Given three output voltages of inverter (V a0 , V b0 , V c0 ), the vector components (V α V β ) in this frame are found by the Clarke transform [29][30][31][32].…”

Section: Space Vector Pulse Width Modula-tionmentioning

confidence: 99%

Efficient speed control of induction motor using RBF based model reference adaptive control method

2016

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Original scientific paperThis paper proposes a model reference adaptive speed controller based on artificial neural network for induction motor drives. The performance of traditional feedback controllers has been insufficient in speed control of induction motors due to nonlinear structure of the system, changing environmental conditions, and disturbance input effects. A successful speed control of induction motor requires a nonlinear control system. On the other hand, in recent years, it has been demonstrated that artificial intelligence based control methods were much more successful in the nonlinear system control applications. In this work, it has been developed an intelligent controller for induction motor speed control with combination of radial basis function type neural network (RBF) and model reference adaptive control (MRAC) strategy. RBF is utilized to adaptively compensate the unknown nonlinearity in the control system. The indirect field-oriented control (IFOC) technique and space vector pulse width modulation (SVPWM) methods which are widespread used in high performance induction motor drives has been preferred for drive method. In order to demonstrate the reliability of the control technique, the proposed adaptive controller has been tested under different operating conditions and compared performance of conventional PI controller. The results show that the proposed controller has got a clear superiority to the conventional linear controllers.Key words: Induction motor, neural network, model reference adaptive control, vector control.Učinkovito upravljanje brzinom induktivnog motora korištenjem metode adaptivnog upravljanja s referentnim modelom zasnovane na RBF-u. Ovaj rad prikazuje adaptivni regulator s referentnim modelom zasnovan na neuronskoj mreži za induktivne motore. Ponašanje tradicionalnih regulatora s povratnom vezom pokazalo se nedovoljno dobrom za upravljanje brzinom induktivnih motora zbog nelineatnosti strukture sustava, promjene okolišnih uvjeta, i efekta ulaznih poremećaja. Uspješno upravljanje brzinom induktivnog motora zahtjeva nealinearne upravljačke sustave. S druge strane, posljednjih godina pokazano je kako su upravljačke metode zasnovane na umjetnoj inteligenciji bitno uspješnije u primjenama upravljanja nelinearnim sustavima. U ovome radu razvijen je inteligentni regulator za upravljanje brzinom induktivnog motora s kombinacijom radijalne neuronske mreže (RBF) i strategije adaptivnog regulatora s referentnim modelom (MRAC). RBF je realiziran kako bi adaptivno kompenzirao nepoznatu nelinearnost u sustavu upravljanja. Tehnika indirektnog vektorskog upravljanja (IFOC) i metoda prostorno vektorske širinsko impulsne modulacije koje su široko korištene za induktivne motore visokih performansi preferirani su kao metode u ovome radu. Kako bi se prikazala pouzdanost tehnike upravljanja, predloženi adaptivni regulator ispitan je u različitih uvjetima rada i usporeeno je vladanje s obzirom na konvencionalni PI regulator. Rezultati pokazuju kako predloženi regulator očito pokazuje bolj...

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Section: Space Vector Pulse Width Modula-tionmentioning

confidence: 99%

Efficient speed control of induction motor using RBF based model reference adaptive control method

2016

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“…Performance of induction motor is observed with two different converters. Here in the pulse width modulation, motor is controlled using six switches in open loop system [2]. The controlling waveform is generated by comparing sinusoidal and triangular waveform using Xilinx block set.…”

mentioning

confidence: 99%

Comparison of performance of induction motor fed by sine pulse width modulated inverter and multi level inverter using XILINX

Hirani

Gupta

Deshpande

2014

2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies

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In this paper performance characteristic of two levels and five levels inverter fed induction motor drive are compared. Open loop control of Induction motor (IM) is used in both inverter schemes. Comparison of both schemes has been done in terms of THD in their line current. Steady state response of speed, current and torque in induction motor is also compared for both control schemes. Models are developed for SPWM and Multilevel inverter fed induction motor using Xilinx.

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“…Another technique can be used to control the speed of the PMSM [21][22][23]. PWM (Pulse Width Modulation) inverter is used to control the waveforms of currents and voltages that will be applied to the motor.…”

Section: Comparative Analysismentioning

confidence: 99%

Decoupled Fuzzy Sliding Mode Control for a Synchronous Motor Speed Control

Abdelsalam¹,

Areed²

2012

IJCA

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This paper introduces a new technique for controlling the speed of Permanent Magnet Synchronous Motor (PMSM). This technique depends on two well known control methods; the first control method is known the variable structure system (VSS), which has a main advantage known as an sliding mode property. The second method depends on fuzzy logic control. A combination between the two mentioned above methods is suggested in this paper. In addition for simplifying the suggested technique, the model of PMSM is decoupled. Simulation results illustrate the validity and the effectiveness of the new suggested technique.

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Space Vector Pulse Width Modulation Based Induction Motor Speed Control Using FPGA

Cited by 12 publications

References 4 publications

Efficient speed control of induction motor using RBF based model reference adaptive control method

Efficient speed control of induction motor using RBF based model reference adaptive control method

Comparison of performance of induction motor fed by sine pulse width modulated inverter and multi level inverter using XILINX

Decoupled Fuzzy Sliding Mode Control for a Synchronous Motor Speed Control

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