scholarly journals Torque Control of a DC Motor with a State Space Estimator and Kalman Filter Applied in Electrical Vehicles

2020 ◽  
Author(s):  
Alex Archela ◽  
Dario Guilherme Toginho ◽  
Leonimer Flávio de Melo
Keyword(s):  
Kalman Filter ◽  
State Space ◽  
Dc Motor ◽  
Torque Control ◽  
Electrical Vehicles

A High Accuracy Speed Control of DC Motor Using Adaptive Torque Compensation on Lyapunov Stability with Kalman Filter

2016 ◽  
Vol 835 ◽  
pp. 673-680
Author(s):  
Chermdhong Prattanaruk ◽  
J. Srisertpol
Keyword(s):  
Kalman Filter ◽  
Control System ◽  
Lyapunov Stability ◽  
Speed Control ◽  
Dc Motor ◽  
High Accuracy ◽  
Torque Control ◽  
Motor Speed ◽  
Load Torque ◽  
Accuracy Speed

The speed control system of DC motor normally uses increasing of electric current and voltage for obtaining required speed and torque with regardless of effects from variable of load torque to system. Including that noise will make some errors in speed and torque control. This research aims to present a method for developing the high accuracy in speed control of DC motor by a technique of adaptive torque compensation that is evolved on Lyapunov stability and using Kalman filter for screening out the evident noises in the system. Results reveals that the adaptive torque compensator evolved from the Lyapunov stability can compensate a stable torque and when it is worked with Kalman filter, it can compensate torque correctly and can control more accuracy of motor speed.

Low Speed Estimation in Sensorless Direct Torque Controlled Induction Motor Drive using Extended Kalman Filter

2015 ◽  
Vol 6 (4) ◽  
pp. 819
Author(s):  
Mini R ◽  
Saranya C ◽  
B. Hariram Satheesh ◽  
Dinesh M.N.
Keyword(s):  
Kalman Filter ◽  
State Space ◽  
Induction Motor ◽  
Direct Torque Control ◽  
Torque Control ◽  
Accurate Estimation ◽  
Motor Drive ◽  
Speed Estimation ◽  
Induction Motor Drive ◽  
Low Speed

Sensorless Direct Torque Control (DTC) is a powerful control scheme for high performance control of induction motor (IM) drives, which provides very quick dynamic response with simple structure and a decoupled control of torque and flux. The performance of the DTC drive depends greatly on the accuracy of the estimated flux components, torque and speed, using monitored stator voltages and currents. Low speed estimation is a great challenge because of the presence of transient offset, drift and domination of ohmic voltage drop.Extended Kalman filter (EKF) is a non linear adaptive filter which performs the process of finding the best estimate from the noisy data based on state space techniques and recursive algorithm.This paper mainly focuses on the accurate estimation of speed ranging from very low speed to rated speed using the equation of motion. A new state space model of the IM is developed for estimation in EKF, with load torque as an input variable and not as an estimated quantity which is the case in most previous studies.The developed algorithm is validated using MATLAB-Simulink platform for speeds ranging from low speed to rated speed at rated torque and at various torque conditions. An exhaustive analysis is carried out to validate the performance of DTC Induction motor drive especially at the low speeds. The results are promising for accurate estimation of speed ranging from low speed to rated speed using EKF.

Research on High-Performance Instantaneous Torque Control of Brushless DC Motor Based on Harmonic Decomposition

2021 ◽  
Author(s):  
Qihang Sun ◽  
Penglei Wang ◽  
Seok-Kwon Jeong ◽  
Chunjiang Zhang ◽  
Zhenguo Li
Keyword(s):  
High Performance ◽  
Dc Motor ◽  
Torque Control ◽  
Brushless Dc Motor ◽  
Brushless Dc ◽  
Harmonic Decomposition

Torque control of brushless DC motor drive based on DSP technology

2007 ◽  
Author(s):  
A. Halvaei Niasar ◽  
Abolfazl Vahedi ◽  
Hassan Moghbeli
Keyword(s):  
Dc Motor ◽  
Torque Control ◽  
Brushless Dc Motor ◽  
Motor Drive ◽  
Brushless Dc ◽  
Dsp Technology
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