Modified load angle Direct Torque Control for sensorless induction motor using sliding mode flux observer

2015 ◽  
Author(s):  
Abdelkarim Ammar ◽  
Amor Bourek ◽  
Abdelhamid Benakcha
Keyword(s):  
Induction Motor ◽  
Sliding Mode ◽  
Direct Torque Control ◽  
Torque Control ◽  
Flux Observer ◽  
Load Angle

Stator Flux Observer for Induction Motor Based on Prescribed Convergence Law Algorithm

2015 ◽  
Vol 719-720 ◽  
pp. 461-469
Author(s):  
Yue Dou Pan ◽  
Ze Ping Chen ◽  
Hua De Li
Keyword(s):  
Induction Motor ◽  
Sliding Mode ◽  
Direct Torque Control ◽  
Estimation Method ◽  
Torque Control ◽  
Control Effect ◽  
Flux Observer ◽  
Rotor Flux ◽  
Observer Model ◽  
Stator Flux

This paper proposes a stator flux estimation method for induction motor based on Prescribed Convergence Law algorithm. A stator flux observer is designed and applied for direct torque control (DTC) of induction motor. The observer tracks stator current and its differential with Prescribed Convergence Law algorithm of second order sliding mode in order to estimate rotor flux, and then estimate stator flux using the relationship between stator flux and rotor flux. This paper takes the differential of estimated flux error as disturbance and divides the MIMO (Multiple Input Multiple Output) observer model into two separate SISO (single input single output) systems, which simplifies the stability analysis. The observer is applied to DTC of induction motor and achieves a good control effect. Simulation experiment results validate the proposed method.

scholarly journals Latest Advances in DTC Control of Induction Motors

2020 ◽  
Vol 8 (6S) ◽  
pp. 120-123
Keyword(s):  
Induction Motor ◽  
Predictive Control ◽  
Induction Motors ◽  
Adaptive System ◽  
Sliding Mode ◽  
Direct Torque Control ◽  
Torque Ripple ◽  
Torque Control ◽  
Model Reference Adaptive System ◽  
Model Reference Adaptive

In these days, developments in the area of Induction Motor control is increasing significantly. Considerable advancements have been taken place in the area of Direct Torque Control (DTC), which is capable of providing quick dynamic response with respect to torque and flux. This paper presents a detailed survey on various latest techniques of DTC control of Induction Motor such as DTC-SVM with hysteresis band, DTCSVM with Model Predictive Control, DTC with sliding mode control, DTC with Model reference adaptive system (MRAS) et cetera. The simulation results are discussed for DTC-SVPWM topology and results obtained proves that this method has reduced torque ripple

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>

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