scholarly journals Exponential Reaching Law and Sensorless DTC IM Control with Neural Network Online Parameters Estimation based on MRAS

2018 ◽  
Vol 7 (2) ◽  
pp. 77
Author(s):  
Legrioui Said ◽  
Rezgui Salah Eddine ◽  
Benalla Hocine
Keyword(s):  
Neural Network ◽  
Time Constant ◽  
Sliding Mode ◽  
Direct Torque Control ◽  
Parameters Estimation ◽  
Torque Control ◽  
System Control ◽  
Reaching Law ◽  
Exponential Reaching Law ◽  
Stator Resistance

The most important problem in the control of induction machine (IM) is the change of its parameters, especially the stator resistance and rotor-time constant. The objective of<em> </em>this paper is to implement a new strategy in sensorless direct torque control (DTC) of an IM drive. The rotor flux based model reference adaptive system (MRAS) is used<em> </em>to estimate conjointly<em> </em>the rotor<em> </em>speed, the stator resistance and the inverse rotor time constant, the process of the estimation is performed on-line by a new MRAS-based artificial neural network (ANN) technique. Furthermore, the drive is complemented with a new exponential reaching law (ERL), based on the sliding mode control (SMC) to significantly improve the performances of the system control compared to the conventional SMC which is known to be susceptible to the annoying chattering phenomenon. An experimental investigation was carried out via the Matlab/Simulink with real time interface (RTI) and dSPACE (DS1104) board where the behavior of the proposed method was tested at different points of IM operation.

FPGA-Based Implementation Direct Torque Control of Induction Motor

2015 ◽  
Vol 5 (3) ◽  
pp. 293 ◽  
Author(s):  
Saber Krim ◽  
Soufien Gdaim ◽  
Abdellatif Mtibaa ◽  
Mohamed Faouzi Mimouni
Keyword(s):  
Induction Motor ◽  
Digital Signal Processor ◽  
Sliding Mode ◽  
Direct Torque Control ◽  
Digital Signal ◽  
Open Loop ◽  
Torque Control ◽  
Digital Implementation ◽  
Fast Processing ◽  
Stator Resistance

<p>This paper proposes a digital implementation of the direct torque control (DTC) of an Induction Motor (IM) with an observation strategy on the Field Programmable Gate Array (FPGA). The hardware solution based on the FPGA is caracterised by fast processing speed due to the parallel processing. In this study the FPGA is used to overcome the limitation of the software solutions (Digital Signal Processor (DSP) and Microcontroller). Also, the DTC of IM has many drawbacks such as for example; The open loop pure integration has from the problems of integration especially at the low speed and the variation of the stator resistance due to the temperature. To tackle these problems we use the Sliding Mode Observer (SMO). This observer is used estimate the stator flux, the stator current and the stator resistance. The hardware implementation method is based on Xilinx System Generator (XSG) which a modeling tool developed by Xilinx for the design of implemented systems on FPGA; from the design of the DTC with SMO from XSG we can automatically generate the VHDL code. The model of the DTC with SMO has been designed and simulated using XSG blocks, synthesized with Xilinx ISE 12.4 tool and implemented on Xilinx Virtex-V FPGA.</p>

Direct torque control of PMSM using sliding mode backstepping control with extended state observer

2016 ◽  
Vol 24 (4) ◽  
pp. 694-707 ◽  
Author(s):  
Bowen Ning ◽  
Shanmei Cheng ◽  
Yi Qin
Keyword(s):  
Sliding Mode ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
State Observer ◽  
Torque Control ◽  
Extended State Observer ◽  
System Stability ◽  
Extended State ◽  
Recursive Design ◽  
Exponential Reaching Law

Based on the nonlinear characteristics of permanent magnet synchronous motor (PMSM), a nonlinear speed and direct torque control (DTC) using sliding mode backstepping method for PMSM is presented in this paper. The sliding mode speed controller is implemented with exponential reaching law to improve the robustness of the system, and further a step-by-step recursive design for backstepping torque and flux controllers is presented. The system stability with proposed scheme is mathematically proved using Lyapunov stability criteria. At the same time, the load torque is observed with the extended state observer (ESO), and is fed-forward to the controller for rejecting the load disturbance and to mitigate the chattering affect due to the sliding mode controller. Finally, simulation test results are demonstrated to support the effectiveness and feasibility of the proposed strategy.

Adaptive Sliding Mode Observer for Back-EMF in Direct Torque Control of Brushless DC Motor

2013 ◽  
Vol 850-851 ◽  
pp. 572-575
Author(s):  
Song Lin Wang ◽  
Shun Yi Xie
Keyword(s):  
Sliding Mode ◽  
Direct Torque Control ◽  
Sliding Mode Observer ◽  
Torque Control ◽  
Accurate Estimation ◽  
Adaptive Sliding Mode ◽  
Brushless Dc ◽  
Online Identification ◽  
Torque Estimation ◽  
Stator Resistance

The key issue of feedback torque calculation in BLDCM-DTC system is how to get the accurate estimation of back-emf. The influences form the deviation of resistance and inductance on traditional back-emf sliding mode observer (SMO) and relevant torque observation results are analyzed. To advance the accuracy of the torque estimation, an adaptive sliding mode observer is designed to estimate the back-emf of the BLDCM and then get torque estimation from the back-emf estimation. The proposed sliding mode observer can also implement the online identification of the stator resistance and inductance simultaneously. Simulation results demonstrate the proposed method is valid and effective.

scholarly journals Performance Analysis of DTC-SVM Sliding Mode Controllers-Based Parameters Estimator of Electric Motor Speed Drive

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Fatma Ben Salem ◽  
Nabil Derbel
Keyword(s):  
Induction Motor ◽  
Controller Design ◽  
Sliding Mode ◽  
Direct Torque Control ◽  
Torque Ripple ◽  
Mutual Inductance ◽  
Torque Control ◽  
Motor Speed ◽  
Rotor Resistance ◽  
Stator Resistance

This paper is concerned with a framework which unifies direct torque control space vector modulation (DTC-SVM) and variable structure control (VSC). The result is a hybrid VSC-DTC-SVM controller design which eliminates several major limitations of the two individual controls and retains merits of both controllers. It has been shown that obtained control laws are very sensitive to variations of the stator resistance, the rotor resistance, and the mutual inductance. This paper discusses the performances of adaptive controllers of VSC-DTC-SVM monitored induction motor drive in a wide speed range and even in the presence of parameters uncertainties and mismatching disturbances. Better estimations of the stator resistance, the rotor resistance, and the mutual inductance yield improvements of induction motor performances using VSC-DTC-SVM, thereby facilitating torque ripple minimization. Simulation results verified the performances of the proposed approach.

scholarly journals A Double Power Reaching Law of Sliding Mode Control Based on Neural Network

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Yu-Xin Zhao ◽  
Tian Wu ◽  
Yan Ma
Keyword(s):  
Neural Network ◽  
Controller Design ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
External Interference ◽  
Reaching Law ◽  
Strong Robustness ◽  
Simulation Results ◽  
Exponential Reaching Law ◽  
Single Power

For discrete system, the reaching law election and controller design are two crucial and important problems. In this paper, an improved double power reaching law of SMC and a controller combined with neural network have been investigated. Theory proves that this method can eliminate the chattering and increase the reaching rate. Furthermore, when there is a certain external interference, the regulating function of neural network can ensure strong robustness of the system. Simulation results show that compared with exponential reaching law, single power reaching law, and traditional double power reaching law, the proposed reaching law has faster convergence speed and better dynamic performance.

scholarly journals Improved direct torque control of induction motors using adaptive observer and sliding mode control

2013 ◽  
Vol 23 (3) ◽  
pp. 361-376 ◽  
Author(s):  
Djilali Kouchih ◽  
Mohamed Tadjine ◽  
Mohamed Seghir Boucherit
Keyword(s):  
Sliding Mode ◽  
Direct Torque Control ◽  
Simple Algorithm ◽  
Lyapunov Theory ◽  
Torque Control ◽  
Adaptive Observer ◽  
Control Technique ◽  
Two Phase ◽  
And Performance ◽  
Stator Resistance

Abstract This paper presents the synthesis of an adaptive observer which is used for the improvement of the direct torque control of induction motor drives. The observer detects stator flux components in two-phase stationary reference frame, rotor speed and stator resistance by measure of the stator terminal voltages and currents. The observer is adapted using a simple algorithm which does not imply a high computational load. Stability analysis based on Lyapunov theory is performed in order to guarantee the closed loop stability. Simulation tests under load disturbance and stator resistance variation are provided to evaluate the consistency and performance of the proposed control technique in the low and high speeds.

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