Speed Control of a DC Motor Using PD and PWM Controllers

2015 ◽  
Vol 220-221 ◽  
pp. 244-250 ◽  
Author(s):  
Ľubica Miková ◽  
Ivan Virgala ◽  
Michal Kelemen

One of the most commonly used actuators in industry are DC motors because of their relative control simplicity, small dimensions and a low price. The paper analyses a DC motor with focus on speed control using two different approaches. First, a mathematical model of the DC motor is introduced. For controller design, two methods, namely the frequency shaping method and PWM control, are used. Both approaches are simulated and compared to each other. For running simulations, software Matlab/Simulink has been applied. The conclusion discusses the advantages and disadvantages of the employed control methods. The contribution of the paper brings information about the advantages and disadvantages of approaches.

Author(s):  
Salman Jasim Hammoodi ◽  
Kareem Sayegh Flayyih ◽  
Ahmed Refaat Hamad

<span>In this paper, we first write a description of the operation of DC motors taking into account which parameters the speed depends on thereof. The PID (Proportional-Integral-Derivative) controllers are then briefly described, and then applied to the motor speed control already described , that is, as an electronic controller (PID), which is often referred to as a DC motor. The closed loop speed control of a Brush DC motor is developed applying the well-known PID control algorithm. The objective of this work is to designed and simulate a new control system to keep the speed of the DC motor constant before variations of the load (disturbances), automatically depending to the PID controller. The system was designed and implementation by using MATLAB/SIMULINK and  DC motor.</span>


Author(s):  
Sergey Vladimirovich Golovko ◽  
Artem Vladislavovich D'yachenko ◽  
Nickolay Gennadievich Romanenko

The article considers the problem of the DC motors control that are often used in many electric drive systems. Due to the progress of industrial electronics and technology it has become possible to develop more efficient motor control circuits. The conventional speed control methods commit power losses in the system, which can be minimized by using the power electronics strategy. There is considered the thyristor control of DC motors of the ship electric drive. The DC motor control systems are described and simulation models in the MATLAB Simulink program are presented. The thyristor methods for controlling a DC motor speed are listed: single-phase semi-controlled converter (for motors with power up to 15 kW); single-phase drive with a controlled converter (available to operate in two quadrants); three-phase semi-controlled converter; three-phase controlled converter; single-phase reverse converter realized by connecting two single-phase converters (ensuring multi-mode operation); three-phase reverse converter realized as a single-phase converter. The mechanical characteristic of a DC motor was illustrated when the voltage supplied to the armature winding changed. It has been stated that control of the armature voltage is more favorable for speeds below the rated speed; flow control is preferable for speeds above the nominal speed. It has been inferred that speed control by means of power electronics devices provides large energy savings, in contrast to the traditional speed control methods, since the traditional methods experience significant energy losses.


Author(s):  
Carlo Joseph Makdisie ◽  
Marah Fadl Mariam

Most of the electric machines had a conventional design for speed –control. Previously, the speed regulation of these motors was done via traditional or mechanical contacts, for example: inserting resistors to the armature circuit or controlling the excited circuit of DC motor, and other methods of control. These classical methods, however, lead to non-linearity in mechanical or electromechanical characteristics [ω= f(M) or ω= f(I)], which in turn lead to increased power losses as the result of the non-soft regulation of speed, as well as the great inertia of classical control methods that rely on mechanical and electromagnetic devices.


Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1216 ◽  
Author(s):  
Eduardo Hernández-Márquez ◽  
Carlos Alejandro Avila-Rea ◽  
José Rafael García-Sánchez ◽  
Ramón Silva-Ortigoza ◽  
Magdalena Marciano-Melchor ◽  
...  

A mathematical model of a new “full-bridge Buck inverter–DC motor” system is developed and experimentally validated. First, using circuit theory and the mathematical model of a DC motor, the dynamic behavior of the system under study is deduced. Later, the steady-state, stability, controllability, and flatness properties of the deduced model are described. The flatness property, associated with the mathematical model, is then exploited so that all system variables and the input can be differentially parameterized in terms of the flat output, which is determined by the angular velocity. Then, when a desired trajectory is proposed for the flat output, the input signal is calculated offline and is introduced into the system. In consequence, the validation of the mathematical model for constant and time-varying duty cycles is possible. Such a validation of this mathematical model is tackled from two directions: (1) by circuit simulation through the SimPowerSystems toolbox of Matlab-Simulink and (2) via a prototype of the system built by using Matlab-Simulink and a DS1104 board. The good similarities between the circuit simulation and the experimental results allow satisfactorily validating the mathematical model.


Author(s):  
Ayman Y. Yousef ◽  
M. H. Mostafa

<p>In this paper a dual open loop speed control system based on two independent PWM signals of small permanent magnet DC (PMDC) motors using PIC16F877A microcontroller (MCU) has been designed and implemented. The Capture/Compare/PWM (CCP) modules of the MCU are configured as PWM mode and the MCU is programmed using flowcode software package to generate two PWM signals with various duty cycles at the same frequency. A dual H-bridge channel chip SN754410 is used to drive the motors. The variation of PWM duty cycles is related directly to controlling the DC motors terminal voltage which directly proportional with speed of each motor. The complete PWM control system model has been simulated using proteus design suite software package. The development of hardware and software of the dual DC motor speed control system has been explained and clarified.</p>


2014 ◽  
Vol 998-999 ◽  
pp. 755-758 ◽  
Author(s):  
Xue Lei Yue ◽  
Peng Bai

Based on analysis of the mathematical model of the brushless DC motor (BLDCM), a method for modeling and simulation of BLDCM speed control system is developed in this paper. The simulation model of BLDCM could be established by combination of the functional blocks and S-functions in MATLAB/SIMULINK. In the double loop of control system, a PID controller was adopted in the speed loop and a current controller was completed in the current loop on the principle of hysteresis current track PWM inverter. The modeling method has merits in rapidity, practicality and has guiding significance to designing actual brushless DC motor control system.


Author(s):  
Mohsin A. Koondhar ◽  
Muhammad U. Keerio ◽  
Rameez A. Talani ◽  
Kamran A. Samo ◽  
Muhammad S. Bajwa ◽  
...  

Fuzzy logic controller (FLC) has become popular in the speed control application of DC motors with automatic adjustment function. In this article, the performance of a specific FLC controlled DC motor is studied. The exceed speed is observed with a stabilization time, thus confirming the FLC behavior. Therefore, FLC must be set to obtain the required performance by applying appropriate expert rules, the minimum overshoot and installation time can be maintained within the required values. With the help of FLC, the manual adjustment function is gradually eliminated, and the intelligent adjustment function is at the center position, and the performance is satisfactory. FLC DC motor speed control is implemented in MATLAB environment. The results show that the FLC method has the smallest bypass, smallest transient and steady-state error, and shows higher FLC efficiency as compared with other conventional controllers.


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