Chaos Synchronization Control of an Indirect Field-Oriented Induction Motor

2013 ◽  
Vol 732-733 ◽  
pp. 1097-1100
Author(s):  
Dong Dong Wang ◽  
Yi Min Lu
Keyword(s):  
Induction Motor ◽  
Chaos Synchronization ◽  
Initial Conditions ◽  
Period Doubling ◽  
Adaptive Controller ◽  
Motor Drives ◽  
Induction Motor Drive ◽  
Error Feedback ◽  
Induction Motor Drives ◽  
Indirect Field Oriented Control

Chaos is extremely sensitive to initial conditions, which makes the system with even smaller initial amount of changes can eventually evolve into a very different result. In an indirect field-oriented control of induction motor drive when estimated errors exist, within a certain range of parameters the system may evolve into chaotic motion through period-doubling bifurcation. In this paper an adaptive controller for synchronizing two indirect field-oriented induction motor drives under chaotic state is presented. Simulation results show that with the state-error feedback controller, synchronous state may be achieved rapidly and robustly.

Chaos Identification and Suppression in an Indirect Field-Oriented Control of Induction Motor Drive Based on 0-1 Method

2013 ◽  
Vol 344 ◽  
pp. 194-198
Author(s):  
Dong Dong Wang ◽  
Yi Min Lu ◽  
Xian Feng Huang
Keyword(s):  
Induction Motor ◽  
Estimation Error ◽  
Stable State ◽  
Period Doubling ◽  
Adaptive Controller ◽  
Motor Drives ◽  
Field Oriented Control ◽  
Induction Motor Drives ◽  
Indirect Field Oriented Control ◽  
Parameter Values

A period-doubling bifurcation may occur when the estimation error of the rotor time constant exists in an indirect field-oriented control (IFOC) of induction motor drives. Then chaos oscillations appear under some parameter values which are usually tested by the Largest Lyapunov exponents. In this paper, we apply the modified 0-1 method to detect chaos phenomenon instead, and design a controller to suppress chaos in the IFOC system. Simulation results indicate that the proper parameter region of the controller can be obtained with this method, and with the adaptive controller the system can quit from the chaotic state into the stable state effectively and robustly. The 0-1 method identifies chaotic behaviors directly through the time series without constructing phase space. Therefore, the proposed method is not affected by the complexity of the system and is not sensitive to noises.

scholarly journals Induction Motor Drive based on Efficiency Optimisation andDrive Loss Minimization in Real-Time Control of Linkage Flux of Drive Reference

2017 ◽  
Vol 6 (3) ◽  
pp. 244
Author(s):  
Farshid Abdolahnejad Baroogh ◽  
Milad Gheydi ◽  
Payam Farhadi
Keyword(s):  
Induction Motor ◽  
Mechanical Load ◽  
Motor Drives ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Real Time Control ◽  
Induction Motor Drives ◽  
Or Efficiency ◽  
Periodic Load ◽  
Loss Control

Induction motor drives are commonly used for applications with vast variations in mechanical load for torques under nominal values. HVAC loads are among these loads. The most ideal scheme for induction motor drive design should include drive loss reduction, or efficiency improvement, proportional to load torque such that optimal performance of drive is not affected. In this paper, using analytical methods, an accurate model is proposed for induction motor drive design. This model allows us to utilize real control and classical control theory for better performance of drive control system. The most damaging mechanical load for induction motor drive is impulse load or so-called periodic load. A scheme proposed for power loss control includes loss control for this type of load, meanwhile, robustness of drive system and stator frequency stability are retained. Main advantages for this scheme are applicability and implementation on various induction motor drives with various powers, without any specific requirements and the least possible computation for the processors.

Comparison Performances of Indirect Field Oriented Control for Three-Phase Induction Motor Drives

2017 ◽  
Vol 8 (4) ◽  
pp. 1682
Author(s):  
Hasif Aziri ◽  
Fizatul Aini Patakor ◽  
Marizan Sulaiman ◽  
Zulhisyam Salleh
Keyword(s):  
Induction Motor ◽  
Load Condition ◽  
Power Converter ◽  
Pi Controller ◽  
Motor Drives ◽  
Field Oriented Control ◽  
Induction Motor Drives ◽  
Drive Control ◽  
Three Phase ◽  
Indirect Field Oriented Control

<span>This paper presents the comparative performances of Indirect Field Oriented Control (IFOC) for the three-phase induction motor. Recently, the interest of widely used the induction motor at industries because of reliability, ruggedness and almost free in maintenance. Thus, the IFOC scheme is employed to control the speed of induction motor. Therefore, P and PI controllers based on IFOC approach are analyzed at differences speed commands with no load condition. On the other hand, the PI controller is tuned based on Ziegler-Nichols method by using PSIM software which is user-friendly for simulations, design and analysis of motor drive, control loop and the power converter in power electronics studies. Subsequently, the simulated of P controller results are compared with the simulated of PI controller results at difference speed commands with no load condition. Finally, the simulated results of speed controllers are compared with the experimental results in order to explore the performances of speed responses by using IFOC scheme for three-phase induction motor drives.</span>

Implementation of Advanced Control Schemes Using dSPACE Material for Teaching Induction Motor Drives

2010 ◽  
Vol 47 (2) ◽  
pp. 151-167 ◽  
Author(s):  
C. Versèle ◽  
O. Deblecker ◽  
G. Bury ◽  
J. Lobry
Keyword(s):  
Induction Motor ◽  
Direct Torque Control ◽  
Motor Drives ◽  
Torque Control ◽  
Control Algorithms ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Induction Motor Drives ◽  
Control Schemes ◽  
Advanced Control

This paper describes a project in which students must implement two advanced control schemes for a voltage-fed inverter induction motor drive, namely vector control and direct torque control, using a dSPACE platform and a Matlab/Simulink environment. With this platform, students can focus on these two control schemes without spending too much time on details concerning the implementation of the control algorithms on the board.

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