scholarly journals Speed sensorless control of 3-phase induction motor using MRAS speed estimator

2021 ◽  
Author(s):  
Chaozheng Ma
Keyword(s):  
Induction Motor ◽  
Digital Signal Processor ◽  
Sensorless Control ◽  
Digital Signal ◽  
Experimental Results ◽  
Current Component ◽  
Speed Sensorless ◽  
Control Scheme ◽  
Speed Estimator ◽  
Signal Processor

This project investigates the application of model reference adaptive system (MRAS) for the speed sensorless control of an induction motor. The rotor speed can be accurately estimated by employing the closed-loop observer named reactive MRAS. Therefore, this observer eliminates the need of a speed sensor for the control of the motor speed. The method is robust to stator and rotor resistance variations due to change of temperature. The dynamic system equations of the induction machines are formulated, and the motor control system performance is studied. Both scalar voltage-to-frequency (V/f) control and vector field oriented control (FOC) schemes, implemented using digital signal processor (DSP), are investigated. The design of the speed sensorless DSP-based controller is completed. Software packages have been developed to implement the design. An experimental system using the proposed controller has been built. Various tests have been conducted to verify the technical feasibility of the control technique. The experimental results confirm the feasibility of the proposed speed sensorless V/f control scheme using MRAS speed estimator. The designed V/f profile has been tested. Even with step change of the load or that of the command speed, the system can achieve the correct steady state after a short transient operation. The experimental results also confirm the feasibility of the proposed speed sensorless FOC control scheme using MRAS speed estimator. The current regulators meet the design requirements. Both the flux-producing current component and the torque-producing current component can be controlled separately. In the implementation, digital signal processor (DSP) TMS320 FL2407 and voltage source inverter (VSI) Skiip 342GD120-316CTV are employed. The modular strategy is adopted to develop the software package.

scholarly journals Speed sensorless control of 3-phase induction motor using MRAS speed estimator

2021 ◽  
Author(s):  
Chaozheng Ma
Keyword(s):  
Induction Motor ◽  
Digital Signal Processor ◽  
Sensorless Control ◽  
Digital Signal ◽  
Experimental Results ◽  
Current Component ◽  
Speed Sensorless ◽  
Control Scheme ◽  
Speed Estimator ◽  
Signal Processor

This project investigates the application of model reference adaptive system (MRAS) for the speed sensorless control of an induction motor. The rotor speed can be accurately estimated by employing the closed-loop observer named reactive MRAS. Therefore, this observer eliminates the need of a speed sensor for the control of the motor speed. The method is robust to stator and rotor resistance variations due to change of temperature. The dynamic system equations of the induction machines are formulated, and the motor control system performance is studied. Both scalar voltage-to-frequency (V/f) control and vector field oriented control (FOC) schemes, implemented using digital signal processor (DSP), are investigated. The design of the speed sensorless DSP-based controller is completed. Software packages have been developed to implement the design. An experimental system using the proposed controller has been built. Various tests have been conducted to verify the technical feasibility of the control technique. The experimental results confirm the feasibility of the proposed speed sensorless V/f control scheme using MRAS speed estimator. The designed V/f profile has been tested. Even with step change of the load or that of the command speed, the system can achieve the correct steady state after a short transient operation. The experimental results also confirm the feasibility of the proposed speed sensorless FOC control scheme using MRAS speed estimator. The current regulators meet the design requirements. Both the flux-producing current component and the torque-producing current component can be controlled separately. In the implementation, digital signal processor (DSP) TMS320 FL2407 and voltage source inverter (VSI) Skiip 342GD120-316CTV are employed. The modular strategy is adopted to develop the software package.

Position Sensorless Control for PMBLDC Motor Drive Using Digital Signal Processor

2016 ◽  
Vol 25 (07) ◽  
pp. 1650077 ◽  
Author(s):  
Sachin Singh ◽  
Sanjeev Singh
Keyword(s):  
Digital Signal Processor ◽  
Sensorless Control ◽  
Digital Signal ◽  
Cost Effective ◽  
Open Loop ◽  
Brushless Dc Motors ◽  
Wide Range ◽  
Permanent Magnet Brushless Dc ◽  
Signal Processor ◽  
Position Sensorless

This paper presents a complete position sensorless control scheme for permanent magnet brushless DC motors (PMBLDCMs) using back-EMF sensing method. The controller is designed in such a way that it provides smooth shifting from open-loop speed-up mode to back-EMF sensing mode at any speed, especially at very low speeds, i.e., less than 2% of the rated speed. The proposed scheme is a simple and cost effective implementation of back-EMF sensing method, which does not require any filtering or phase shift to generate commutation pulses. The proposed controller is designed and modeled for a PMBLDCM rated at 4600[Formula: see text]rpm, 310[Formula: see text]V and 2.2[Formula: see text]N[Formula: see text]m torque and its performance is simulated in MATLAB/SIMULINK environment. The obtained simulation results are validated on a prototype developed in the lab using a digital signal processor (DSP) namely TI 2812 DSP in a wide range of speeds in position sensorless mode.

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