A Study of Dynamic Electric Dynamometer Based on Separate-excited DC Generator

Nowadays, the New energy vehicles(NEVs) have been developed in a key way as an industry adjusted by China’s national strategy. Aiming at the problems of poor parameter adjustment and low response speed existing in traditional PID control of energy vehicles in the complex driving environment, a speed control method of DC motor based on BP neural network and traditional PID was proposed, which greatly improved the speed control efficiency and accuracy of new energy vehicles. According to the nonlinear and multivariable characteristics of brushless DC motor control system, the motor and control principle are modeled and analyzed by Simulink. Then based on Proteus, STC89C51 single-chip microcomputer combined with the drive control module is used to simulate motor speed control. Meanwhile, in order to enhance the adaptability and rapidity of the parameter adjustment in speed regulation system, BP neural network and traditional PID control are applied in the designation of controller, which can implement the self-adaptation control of system and self-tuning of PID parameters. At last, the simulation is verified by MATLAB. The experimental results show that the BP-PID neural network controller has the advantages of good robustness, strong stability and fast response. At the same time, the BP-PID neural network controller has stronger anti-disturbance performance under the disturbed conditions, which can prove the correctness and feasibility of the designed model above. This approach provides a new solution to improve the performance of NEVs.

Режимы управления двигателем постоянного тока с замкнутым контуром в высокоточных системах позиционирования

The direct-drive Permanent Magnet Synchronous Generator (PMSG) wind power imitation platform is an essential requirement for its research, development and product test. It's more efficient and flexible to demonstrate control strategies including the wind turbine's Maximum Power Point Tracking (MPPT). Conventionally, many control strategies of the motor's speed or torque are used to implement the turbine MPPT imitation, which, however, much depend on the motor parameters and are only for the Double Feed Induction Generator (DFIG) system, but rarely for direct-drive PMSG one. Thus, a novel control strategy for the wind turbine MPPT implementation is proposed, which provides a direct power control method of DC motor together with decoupled vector control of PMSG without the speed sensor. Using this control strategy, the system less depends on either parameters of the DC motor or the PMSG, and has excellent dynamic performance and high steady-state precision. The analysis, simulation and experimental results have verified its feasibility and validity.

In this paper, how to vector control method using PMSM inertia load applied for the experiments and, EMU and the improved comfort and more efficient use of energy as a way for electric braking to stop the algorithm for the Ultra - lowbr/ speed of the extrusive force of the motor velocity detection and control methods is presented. The detection rate Resolver interface circuit is detected by the rotor design and rejolbae to estimate the velocity position of the observer was designed and Ultra - low speed in the motor that control the algorithms and full electric braking method was used. In addition, the train's braking in ways to expand into high-speed braking traction motors of the area overvoltage resistant insulation and driving force in the area of extrusion conditions, a high-speed area for the electric braking power were secured.

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.

Electric vehicles (EVs) have emerged as a promising solution for reducing carbon emissions. The performance of an EV is highly influenced by the control method of the Brushless DC (BLDC) motor. The main challenges in EV applications include the motor stability at low speeds and the power consumption during high acceleration changes. This research proposes a novel BLDC motor control strategy that combines Direct Power Control (DPC) and FieldOriented Control (FOC) to enhance motor efficiency and stability. The DPC method regulates the power consumption of the BLDC motor, whereas FOC ensures stability at low speeds. The proposed hybrid control system was simulated using MATLAB/Simulink on a BLDC motor drive. The simulation results indicate improved motor stability at low speeds and reduced power consumption, confirming the effectiveness of the hybrid DPC-FOC approach for BLDC motor control.

Nowadays electric vehicle has increasingly gained much popularity indicated by growing global share market targeted at 30% by 2030 after recording 7.2million global stock in 2019. Compared to Internal Combustion Engine (ICE) counterpart, Battery Electric Vehicles (BEV) produce zero tailpipe emission which greatly reducing carbon footprints. Induction motor has been widely used and its control technology has evolved from scalar type volt/hertz to recent predictive control technology. This allows induction motor’s application to expand from being the workhorse of industry to become prime mover in electric vehicle, where high performance is expected. Among vector control scheme, Direct Torque Control (DTC) has gained interest over Field Oriented Control (FOC) with simpler structure, better robustness and dynamics performance yet suffer from high torque and flux ripple. In electric vehicle applications, high ripple at low speed is highly undesirable, potentially causing torsional vibration. High performance control requires speed sensor integration, which often increase complexity in the design. The work aims to review the best control technology for induction motor in electric vehicle application through performance parameter evaluation such as improvement on dynamic response, torque and flux ripple reduction, and component optimization. Several arise issues in motor control and possible methods to circumvent are highlighted in this work. In conclusion, model predictive torque control (MPTC) is the most promising scheme for electric vehicle with excellent dynamic response, good low speed performance, and 50% torque ripple reduction compared to conventional DTC and potential integration with sliding mode observer for sensorless solution.

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.

X-ray device used in the diagnosis has made possible to have more effective and accurate diagnosis, powered by the development of various devices. Based on this, X-ray device has become the most basic and essential diagnostic equipment in clinical medicine. At present, in the image acquisition field using X-ray, the use of Digital radiography which is useful in the acquisition time reduction and transfer of images and is possible to have the dose reduction has expanded. With the structure using one detector, this DR device has disadvantages in that it needs structural changes unlike existing X-ray and the detector should be moved to the desired position depending on the shooting location. Therefore, in this study, using BLDC(Brushless direct current) motor and PID(Proportional integral differential) control method, the automatic control system of 3-axis which is upward and downward, left and right and rotation of detector where having the most movement in DR was designed and produced and its performance was evaluated.

This paper presents a practical method for operation of a semi-converter-fed DC motor drive at the point of maximum efficiency while maintaining any particular torque-speed load point. Design and operation of an economical, microprocessor-based adaptive controller used to retrofit a commercially available SCR drive for minimum loss operation of a DC motor is described. Experimental and simulation results are presented in graphical forms, giving comparison of overall drive system efficiencies between loss minimization adaptive control and conventional constant field current operation for a standard-efficiency DC motor with a 7½ hp rating for both separately excited and shunt connected configurations. The greatest potential for energy savings is found to exist for the case of light load at low speeds.

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

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.

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.