scholarly journals Identification and Adaptive Position and Speed Control of Permanent Magnet DC Motor with Dead Zone Characteristics Based on Support Vector Machines

2019 ◽  
Vol 13 (2) ◽  
pp. 53-66
Author(s):  
Mahmoud Hasanpour Dehnavi ◽  
Seyed Kamal Hosseini sani ◽  
◽  
Keyword(s):  
Support Vector Machines ◽  
Permanent Magnet ◽  
Dead Zone ◽  
Speed Control ◽  
Dc Motor ◽  
Support Vector ◽  
Vector Machines ◽  
Permanent Magnet Dc Motor

scholarly journals Comparative Study Between Classical Controllers and Inverse Dead Zone Control for Position Control of a Permanent Magnet DC Motor with Dead zone

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Control System ◽  
Comparative Study ◽  
Permanent Magnet ◽  
Position Control ◽  
Dead Zone ◽  
Dc Motor ◽  
Double Integral ◽  
New Approach ◽  
Integral Effect ◽  
Permanent Magnet Dc Motor

In this work, a comparative study of three control strategies for the position control of a permanent magnet DC motor with dead zone is presented. The strategies analyzed are the classical PI controller, a new approach based on a linear controller with double integral effect, and the Inverse Dead Zone approach. Through the results here exposed it is shown that the new approach based on a controller with double integral effect results in a control system capable of achieving smaller position error, reducing the undesirable stick/slip effect without inducing high frequency oscillations or chattering in the control variable. In addition, and thanks to its linear nature, it is possible to determine stability and robustness of the resulting control system by means of the classical margins of gain and phase making this approach suitable for an engineering context

scholarly journals Hard Dead Zone and Friction Modeling and Identification of a Permanent Magnet DC Motor Non-Linear Model

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Permanent Magnet ◽  
Linear Model ◽  
Motor Behavior ◽  
Dead Zone ◽  
Viscous Friction ◽  
Dc Motor ◽  
Time Data ◽  
Wide Range ◽  
Non Linear ◽  
Permanent Magnet Dc Motor

The identification of a permanent magnet DC motor model including non-linearities dead zone, Coulomb friction, and viscous friction, is presented. The dead zone considered here is the so call "hard" dead zone, whereas the friction force is modeled in two different ways: first, considering the value of viscous coefficient friction as a constant and second, approximating viscous coefficient by a polynomial depending on motors rotor velocity. The polynomial representation of the viscous friction value allows it to be adjusted automatically as a function of the speed of the system, as occurs in real systems. Therefore, a model capable of better representing the real motor behavior along a wide range of operation is obtained. The non-linear model is validated and compared using real-time data obtained from Quanser's direct current motor control trainer system, using the numerical tool Matlab®/Simulink™

scholarly journals Estrategia de control para el problema de zona muerta en procesos electromecánicos

2021 ◽  
Author(s):  
◽  
Cándido Arturo Pérez Gómez
Keyword(s):  
Permanent Magnet ◽  
Position Control ◽  
Dead Zone ◽  
Double Effect ◽  
Dc Motor ◽  
Pi Controller ◽  
Pd Controller ◽  
Control Scheme ◽  
Dc Motor Control ◽  
Permanent Magnet Dc Motor

This work presents the identification and validation of a non-linear model of a permanent magnet DC motor, which includes the phenomenon of dead zone and friction, as well as the design of a linear position control for this type of device. Its main objective is to reduce the effects that these non-linearities produce in the position control of electric motors. The proposed controller has an integral double effect and a lead compensator. It is implemented in real time, through a digital control scheme, in the Quanser DC Motor Control Trainer system, which includes a Maxon brand permanent magnet DC motor. The proposed controller is compared to two of the most widely used strategies to reduce the dead zone problem: control with the use of the “inverse” dead zone and switched control. For the first one, a PI controller plus the inverse dead zone is used, while for the second one, a switched PI-PD controller is designed. The responses of both controllers are analyzed with the numerical tool Matlab®/ Simulink™.

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