Approach to Accounting of Non-Linear Properties by Example of Electric Drive with DC Motor Controlled Type Inverter H-Bridge

2018 ◽  
Author(s):  
A. Yu. Sologubov ◽  
I. M. Kirpichnikova
Keyword(s):  
Electric Drive ◽  
Dc Motor ◽  
Non Linear

scholarly journals Speed Control Series Dc Motor Using Ant Colony Optimization

2019 ◽  
Vol 20 (2) ◽  
pp. 105 ◽  
Author(s):  
Muhammad Ruswandi Djalal ◽  
Herman HR
Keyword(s):  
Ant Colony Optimization ◽  
Fitness Function ◽  
Speed Control ◽  
Dc Motor ◽  
Ant Colony ◽  
Control Series ◽  
System Optimal ◽  
Non Linear

Motor DC yang terhubung dengan seri atau shunt banyak digunakan dalam berbagai aplikasi. Karena memiliki torsi yang relatif tinggi untuk memikul beban dibandingkan dengan motor permanen magnet dengan ukuran yang sama. Motor permanen magnet bersifat linear sedangkan motor DC bersifat non linear. Karakteristik non linear dari motor DC seperti saturasi dan gesekan dapat menurunkan kinerja dari konvensional Kontrol. Algoritma Ant Coloni pada prinsipnya mencari sumber makanan berdasarkan jejak feromone yang kemudian secara berkelompok akan mengikuti jejak yang memiliki feromone yang terbesar. Dengan prinsip ini algoritma akan mencari parameter yang paling optimal untuk diisikan pada parameter PID, sehingga didapatkan kendali optimal pada kecepatan Motor DC Seri. Hasil optimasi ant colony didapatkan nilai fitness function sebesar 79.4892, dengan 50 kali iterasi, dan parameter nilai PID yang optimal di mana, parameter P (Proportional) sebesar 23.0337, I (Integral) sebesar 7.9168, dan D (Derivative) sebesar 7.8163. Dengan beberapa case kecepatan dan perubahan beban pada Motor DC Seri, dengan kendali PID Ant Colony didapatkan kinerja system optimal dengan overshoot yang minimum dan settling yang cepat.

Non-linear Grey-Box Models Applied to DC Motor Identification

2019 ◽  
Author(s):  
David Fernando Zambrano Romero ◽  
Alejandro Salazar Velez ◽  
Juan Bernardo Gomez-Mendoza
Keyword(s):  
Dc Motor ◽  
Box Models ◽  
Non Linear

scholarly journals Optimal parameter estimation for a DC motor using genetic algorithm

2020 ◽  
Vol 11 (2) ◽  
pp. 1047 ◽  
Author(s):  
Mohammad Soleimani Amiri ◽  
Mohd Faisal Ibrahim ◽  
Rizauddin Ramli
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Parameter Estimation ◽  
Numerical Analysis ◽  
Optimal Parameter ◽  
Dc Motor ◽  
Linear Features ◽  
Estimated Parameters ◽  
Optimal Parameter Estimation ◽  
Non Linear

Estimating the parameters of a geared DC motor is crucial in terms of its non-linear features. In this paper, parameters of a geared DC motor are estimated genetically. Mathematical model of the DC motor is determined by Kirchhoff’s law and dynamic model of its shafts and gearbox. Parameters of the geared DC motor are initially estimated by MATLAB/SIMULINK. The estimated parameters are defined as initial values for Genetic Algorithm (GA) to minimize the error of the simulated and actual angular trajectory captured by an encoder. The optimal estimated model of the geared DC motor is validated by different voltages as the input of the actual DC motor and its mathematical model. The results and numerical analysis illustrate it can be ascertained that GA is appropriate to estimate the parameters of platforms with non linear characteristics.

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™

Sign in / Sign up

Export Citation Format

Share Document