Development and performance assessment of a DC electric variable-rate controller for use on grain drills

This paper describes the design of low-cost DC motor controller for use by robot hobbyists. The motor controller created by this project has a profound impact on the robot hobbyist arena by creating a product that performs far beyond its expectations This is due to the fact that this motor controller will drive two independent DC motors with the same functionality found in a high-end single motor controller, and cost only $30 to build. Testing has shown that the hardware platform designed and created by this project is capable of performing all the functionality of a high-end motor controller while controlling two DC motors. The software is user-friendlier than any other motor controller currently available.

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.

Recently, many studies on mechatronics experiment system are conducted. In this paper, unique educational experiment systems are proposed for undergraduate students to be able to efficiently learn basic mechatronics techniques. The first system is used to learn input/output port operations, periodically LED lights ON/OFF and a stepping motor control. The second system is effective to learn A/D conversion for several sensor information, D/A conversion for DC motor control and a PID control method. Also, the third system is designed by using a robot arm with 4-DOFs to learn PWM (Pulse Width Modulation) control of a DC motor and force control of an end-effector. Further, the fourth system is designed using multiple mobile robots in which a subsumption control architecture is incorporated. Each of the systems individually has an important factor which students should acquire, so that it is expected that the combination will yield promising results. The effectiveness of the proposed systems is evaluated through experimental lectures in the department of mechanical engineering, Tokyo University of Science, Yamaguchi.

<div class="htmlview paragraph">A program is underway to develop an advanced DC motor controller for use on electric vehicles. This program has now completed the first phase where a functional model was designed, fabricated, and tested. A follow-on phase will extend the development to improve and expand the system in preparation for field tests. The system under development is a self-contained, high efficiency, high frequency, pulse-width-modulated motor controller which is low in weight and cost. Its design reduces audible noise and extends battery life by reduction of battery and motor ripple currents.</div>

The control of DC motor system is difficult and mathematically tedious due to their high non linearity property.To overcome this difficulty, a new approach has been required.This paper presented a systematic procedure to develop PI based speed controller for DC motor.The designing of speed controller through state estimation approaches.The optimal parameter of PI controller is finding out by using PSO algorithms.The performances and characteristics of DC motor are observed.The simulation results verify that steady state error is reduced, the rising time is improved and the disturbances affect is reduced hence the better performances of DC motor.

Adaptive control of DC motor using bacterial foraging algorithm

Eddy dynamometer is widely used in drive motor and ICE's character testing, in which it can't be loaded large torque under lower speed, and can't drag testing motor, and its dynamic response is weak .Also it changes mechanical energy to heat energy, which wastes energy resource. In this paper, a new kind of electric dynamometer based on separate-excited DC generator is introduced to overcome these shortcomings, which realizes large load torque under lower speed, and can measure motor's characters in four quadrants, and has quick dynamic response ability. The electric dynamometer can work in steady speed mode, steady torque mode and steady power mode. It can not only measure motor steady character, but also dynamic character. In this paper, the whole system hardware framework and software will be introduced. DC motor's control method is introduced in detail. At last, experiment results will be shown on.

Summary form only given, as follows. The presentation will go over motor drive fundamentals including dc motor control and ac induction motor control. In general, the motor drive includes two control loops: (1) speed and (2) current. The speed loop normally deals with field and torque commands, and the current loop is to control the instantaneous armature current. Such a general motor drive control concept is applicable to both dc and ac motors. With understanding of dc motor speed control, the rationale for the need of ac motor vector control will be derived. Different vector control methods will be explained using the decoupled equivalent circuits. In terms of current control, both dc and ac motors need the so-called pulse-width-modulated (PWM) converters or inverters to regulate the current. Different PWM techniques will be explained in this presentation. Finally the PWM inverter related motor drive issues will be addressed.

The DC motors an outstanding portion of apparatus in automotive and automation industrial applications requiring variable speed and load characteristics due to its ease of controllability. Creating an interface control system for multi DC motor drive operations with centralized speed control, from small-scale models to large industrial applications much demand. By using Lab VIEW (laboratory virtual instrument engineering workbench) as the motor controller, can control a DC motor for multiple purposes using single software environment. The aim of this paper is to propose the centralized speed control of DC motor using Lab VIEW. Here, the Lab VIEW is used for simulating the motor, whereas the input armature voltage of the DC motor is controlled using a virtual Knob in Lab VIEW software. The hardware part of the system (DC motor) and the software (in personal computer) are interfaced using a data acquisition card (DAQ) -Model PCI- 6024E. The voltage and Speed response is obtained using LABVIEW software. Using this software, group of motors’ speed can be controlled from different location using remote telemetry. The propose work also focuses on controlling the speed of the individual DC motor using PWM scheme (Duty cycle based Square wave generation) and DAQ. Help of the DAQ along with Lab VIEW front panel window, the DC motor speed and directions can be change easily in remote way. In order to test the proposed system the laboratory model for an 80W DC motor group (multi drive) is developed for different angular displacements and directions of the motor. The simulation model and experimental results conforms the advantages and robustness of the proposed centralized speed control.

This research designed a DC motor control system experiments and developed a platform for on-line implementation of these experiments. This was with a view to contributing to the number of online laboratory experiments while providing a common platform for other on-line users. In this research, three experiments were designed using LabVIEW software. The developed platform is implemented online using the Massachusetts Institute of Technology interactive laboratory architecture. The control system performance was then evaluated by administering questionnaires to users with the aim of eliciting information on the ease of use of the operating system. The successful control of the DC motor and integration of the experiment engines into the iLab Interactive architecture were achieved. In conclusion, the online DC motor control laboratory was deployed and provided ready access to a DC motor control over the Internet with beginner and intermediate-level experiments in the field of control system and engineering

This paper studies the tracking control of dc permanent magnet motor (DC–PMM) in networked control systems (NCSs) with random delay and packet dropouts in feedback channel (sensor to controller) and the feedforward channel (controller to actuator). A sliding mode predictive tracking control algorithm based on the theory of pseudo partial derivative (PPD) is designed to compensate random delay and packet dropouts in process of motor control. The stability of the proposed method and the convergence of the tracking error are analyzed and proved. Finally, an example about dc motor in NCS is given to verify the effectiveness of the proposed method. Simulation results show that the outputs of dc motor can better track the desired trajectory after compensating by the presented method, and are quite stable.

The main problem experienced by persons with disabilities and disabilities is the limitation of doing all activities, in general they need the help of others to perform activities in everyday life. It causes dependence on others which impact on the lack of productivity and hamper their potential in their lives. Based on these problems it is necessary to contribute technological innovation as a solution to help facilitate the activity of disabled and disability patient.The use of fuzzy logic method on DC motor control system integrated with Bluetooth communication media system to Android Smartphone using Rasberry phi microcomputer system integrated with arduino microcontroller can be used on the result of technology research of automatic wheelchair control system that can be driven using, voice recognition based control Android smartphone. The test results are performed on several parameters such as DC motor movement, DC motor load capacity, integration of voice recognition communication to DC motor control system and sound intensity to Android Smartphone. The results of this research are expected to help facilitate the activities of the disabled or disability so as to increase their productivity.

DC motor is the most common choice if the wide range of adjustable speed drive operation is desired. In many studies, the DC motor controllers have been implemented without considering the final control element (FCE), leading to a non-realistic performance. In this paper, the authors have suggested a new approach to obtain the adaptive and robust control of DC motor. Buck converter, driven by high frequency PWM signals obtained from PID controller has been chosen as FCE in this study. Ziegler-Nichols method is applied to the combined system of dc motor and buck converter, to get the initial settings of PID controller. Using fuzzy logic, these settings are online updated corresponding to the changes that may occur during system operating conditions. Also, this approach has a robust performance against disturbance/parameter variations. The buck converter has been simulated using sim-power system library of MATLAB. Comparative results have been shown for PID controller and adaptive fuzzy-PID controller for both tracking and regulatory type of control problems to obtain excellent performance with no steady state error.

Design and Analysis of Motorized Personal Transporter

To precisely control the speed of BLDC motors at high speed and with very good performance, an accurate motor model is required. As a result, the controller design can play an important role in the effectiveness of the system. The classic controllers such as PID are widely used in the BLDC motor controllers, but they are not appropriate due to non-linear model of the BLDC motor. To enhance the performance and speed of response, many studies were taken to improve the adjusting methods of PID controller gains by using fuzzy logic. Use of fuzzy logic considering approximately interpretation of the observations and determination of the approximate commands, provides a good platform for designing intelligent robust controller. Nowadays type-2 fuzzy logic is used because of more ability to model and reduce uncertainty effects in rule-based fuzzy systems. In this paper, an interval type-2 fuzzy logic-based proportional-integral-derivative controller (IT2FLPIDC) is proposed for speed control of brushless DC (BLDC) motor. The proposed controller performance is compared with the conventional PID and type-1 fuzzy logic-based PID controllers, respectively in MATLAB/Simulink environment. Simulation results show the superior IT2FLPIDC performance than two other ones.