New Stable Non-Vector Control Structure for Induction Motor Drive

The article focuses on a design and experimental verification of continuous nonlinear systems control based on a new control structure based on a linear reference model. An application of Lyapunov’s second method ensures its asymptotic stability conditions. The basic idea in the development of the control structure consists of utilizing additional information from a newly introduced state variable. The structure is applied for angular speed control of an induction motor (IM) drive representing a higher-order nonlinear system. The developed control algorithm helps to achieve the zero steady-state control deviation of the IM drive angular speed. Simulations and experiments performed in various operating states of the IM drive confirm the advantages of the new control structure. Except for set dynamics, the method ensures that the system is stable, invariant to disturbances, and is robust against variations of the parameters. When comparing the obtained control structure of the IM control with the classical vector control, the proposed control structure is simpler. In addition, the proposed control structure is linear, robust against variation in important parameters and invariant against external disturbances. The main advantage over conventional control techniques consists of the fact that the controller design does not require any exact knowledge of the system parameters and, moreover, it does not suffer from system stability problems. The method will find a wide applicability not only in the field of AC controlled drives with IM but also generally in control of industry applications.

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Switching FOC Method for Vector Control of Single-Phase Induction Motor Drives

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v6i2.9146 ◽

2016 ◽

Vol 6 (2) ◽

pp. 474

Author(s):

Mohammad Jannati ◽

Nik Rumzi Nik Idris ◽

Mohd Junaidi Abdul Aziz ◽

Tole Sutikno ◽

M. Ghanbari

Keyword(s):

Vector Control ◽

Induction Motor ◽

High Performance ◽

Single Phase ◽

Control Method ◽

Controller Design ◽

Motor Drives ◽

Induction Motor Drives ◽

Rotating Reference Frame ◽

Rotor Flux

This paper proposes a novel vector control method based on Rotor flux Field-Oriented Control (RFOC) for single-phase Induction Motor (IM) drives. It is shown that in a rotating reference frame, the single-phase IM equations can be separated into forward and backward equations with balanced structures. In order to accommodate for these forward and backward equations, a drive system consisting of two RFOCs that are switched interchangeably, is proposed. Alternatively, these two RFOC algorithms can be simplified as a single FOC algorithm. The analysis, controller design and simulation of the proposed technique showed that it is feasible for single-phase IM drive for high performance applications.

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Implementation of RBF Neural Network in Vector Control Structure of Induction Motor

International Review of Electrical Engineering (IREE) ◽

10.15866/iree.v9i4.2922 ◽

2014 ◽

Vol 9 (4) ◽

pp. 749 ◽

Cited By ~ 5

Author(s):

Pavel Brandstetter ◽

Martin Kuchar ◽

Ondrej Skuta

Keyword(s):

Neural Network ◽

Vector Control ◽

Induction Motor ◽

Control Structure ◽

Rbf Neural Network

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Rotor Speed Adaptive Identification of Direct Torque Control for Induction Motor

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.139-141.1785 ◽

2010 ◽

Vol 139-141 ◽

pp. 1785-1788

Author(s):

Zhi Ting She ◽

Yong Zheng ◽

Yong Jin Peng

Keyword(s):

Induction Motor ◽

Reference Model ◽

Direct Torque Control ◽

Torque Control ◽

System Stability ◽

Rotor Speed ◽

Speed Sensorless ◽

Model Reference ◽

Model Reference Adaptive ◽

Speed Identification

Based on the dynamic mathematical model of induction motor, the mutual model reference adaptive system method (MRAS) for rotor speed identification is proposed to implement a speed sensorless direct torque control. The model reference adaptive theory is flexibly used in the rotor speed and the stator resistance online identification. The reference model and adjustable model used in the mutual MRAS scheme are interchangeable. Therefore, the control system can obtain high-precision speed identification. Simulation results show the method can solve the problems of speed control accuracy and system stability under the influence of motor parameter variation. The low speed performance of DTC is also improved.

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Induction motor space vector control using adaptive reference model direct and indirect methods

ISIE'2000. Proceedings of the 2000 IEEE International Symposium on Industrial Electronics (Cat. No.00TH8543) ◽

10.1109/isie.2000.930530 ◽

2002 ◽

Cited By ~ 4

Author(s):

P.P. Cruz ◽

J.J. Rodriguez Rivas

Keyword(s):

Vector Control ◽

Induction Motor ◽

Reference Model ◽

Space Vector ◽

Indirect Methods ◽

Direct And Indirect Methods

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Lyapunov Based Reference Model of Tension Control in a Continuous Strip Processing Line with Multi-Motor Drive

Electronics ◽

10.3390/electronics8010060 ◽

2019 ◽

Vol 8 (1) ◽

pp. 60 ◽

Cited By ~ 3

Author(s):

Daniela Perduková ◽

Pavol Fedor ◽

Viliam Fedák ◽

Sanjeevikumar Padmanaban

Keyword(s):

Control Structure ◽

Reference Model ◽

Laboratory Model ◽

Motor Drive ◽

State Control ◽

Proportional Integral ◽

Additional Information ◽

Processed Material ◽

Processing Line ◽

Steady State Control

The article describes design and experimental verification of a new control structure with reference model for a multi-motor drive of a continuous technological line in which the motors are mutually mechanically coupled through processed material. Its principle consists in creating an additional information by introducing a new suitable state variable into the system. This helps to achieve a zero steady-state control deviation of the tension in the strip. Afterwards, the tension controller is designed to ensure asymptotic stability of the extended system by applying the second Lyapunov method. The realized experimental measurements performed on a continuous line laboratory model confirm the advantages and correctness of the proposed control structure: it is simple, stable, robust against changes of parameters, invariant to operating disturbances and ensures a high-quality dynamics of the controlled system prescribed by the reference model. To demonstrate effectiveness of the design, the performance of the controller was compared with properties of a standard Proportional Integral Derivative/Proportional Integral (PID/PI) controller designed in frequency domain.

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