DC Motor Control System Research Articles

Development of a DC motor control system by Xilinx system generator

This study introduces a numerical approach utilizing a Xilinx System Generator to develop a DC motor control system, showcasing a significant ability to regulate and enhance motor speed. We developed the proposed system in the MATLAB/SIMULINK environment, utilizing a collection of blocks generated by the Xilinx System Generator. We developed and simulated a proportional-integral (PI) controller and pulse width modulation (PWM). Subsequent to simulation, we can transfer the HDL code from the Xilinx System Generator block to a Field Programmable Gate Array (FPGA) board using Vivado. The system can produce accelerated PWM signals, thereby enhancing the control of the DC motor. Because of the FPGA board's superior processing capabilities, it was crucial to design and simulate the control system using Sysgen. We proposed the FPGA board to address this issue, facilitating the efficient and rapid execution of the control signals. This work represents a significant advancement in the enhancement of DC motor control systems. It shows how well Matlab/SIMULINK and Xilinx System Generator can work together to make PI and PWM controllers. These findings present compelling possibilities for future applications in power electronics and industrial automation.

Research on the speed control system of brushless DC motor based on fuzzy PID control

Research on the speed control system of brushless DC motor based on fuzzy PID control

RANCANG BANGUN MODUL TRAINER KIT MATA KULIAH SISTEM KENDALI+LAB BERBASIS INTERNET OF THINGS (IoT)

Along with the development of technology, control systems can now control various devices using smartphones connected to the internet remotely (Internet of Things). In order to have a good understanding of this field, universities have a very important role as an education institution. One of them is Udayana University through the Control System + Lab Course in the Independent Campus Learning Curriculum. This study aims to design an IoT-based Lab + Control System Trainer Kit Module using DevKit ESP32. The designed system includes an IoT-based DC motor control system using an L298N motor driver, an IoT-based water cooling control system using a DS18B20 temperature sensor, and an IoT-based water level control system using an HC-SR04 ultrasonic sensor. The system will be controlled through an application that has been created and installed on a smartphone connected to the internet so that it can be tested and analyzed to draw conclusions.

Analysis of the PID Controller Parameters for A Surface Mobility Platform Mobile Robot

Surface mobility control is a fundamental challenge in robotics, and its applications range from autonomous vehicles to industrial automation. The main aim of the paper is to analyze the PID controller parameters for the speed control of a surface mobility platform mobile robot. MATLAB simulation toolbox and mathematical model of the DC motor are used to find the optimal PID controller parameters to complete the DC motor speed control system. For the SMP motion control system, the mobile robot kinematic model is supported as a differential drive system. In this paper, the PID controller parameters for the DC motor control system are analyzed with simulation results using various KP, KI, KD gains. The experimental results of the SMP mobile robot with optimal PID controller parameters are analyzed by driving on the rough, slope and even terrains. According to simulation results and experimental tests, the proposed system effectively controls the speed of the SMP mobile robot, demonstrating satisfactory performance in settling time, rise time, and system overshoot. Among PI and PID controllers, the designed PID controller can quickly control to reach the desired DC motor speed. Using the optimal PID coefficient parameters, all motors reached their desired speed in 0.12 seconds during simulations. In the experimental tests on various terrain (even, slope and rough), all motors achieved their desired speed simultaneously within 25 seconds.Keywords: Differential drive, PID controller, motion trajectory, real-time speed control. skid steering, SMP mobile robot, surface mobility control

New PID parameter tuning based on improved dung beetle optimization algorithm

AbstractIn this paper, a proportional‐integral‐derivative (PID) controller parameter optimization method based on the improved dung beetle optimization (IDBO) algorithm is proposed, which improves the balance between the global exploration and local exploitation capabilities of the dung beetle optimization (DBO) and significantly enhances the convergence speed and optimization accuracy. Initially, the dung beetle population is initialized using piecewise linear chaotic map (PWLCM) chaotic mapping in order to increase its variety and the DBO algorithm's capacity for global exploration. Furthermore, adaptive weighting in the DBO algorithm is now balanced between the capabilities of local exploitation and global exploration with the addition of adaptive weights. After that, in order to improve the DBO algorithm's capacity for local exploitation, a triangle wandering strategy is included during the dung beetle reproductive phase. Finally, using both Lévy flying wandering and greedy strategy (GS) together make it easier to take advantage of opportunities in both local and global areas. The outcomes of the traditional benchmark function test demonstrate a significant improvement in both convergence speed and optimization accuracy when the particle swarm optimization (PSO), DBO, grey wolf optimization (GWO), and sparrow search algorithm (SSA) algorithms are compared. The performance index function incorporates an overshooting penalty term to prevent the overshooting phenomenon in the control system. Simulation experiments are carried out for the DC motor control system, and the time domain performance, frequency domain performance, and robustness performance of the closed‐loop control system with ZN‐PID, Lambda‐PID, PSO‐PID, and IDBO‐PID rectified PID controller parameters are comparatively analyzed, which verifies the validity and practicability of the IDBO algorithm.

CONCEPT OF IMPLEMENTATION OF PRECISION MICROPROCESSOR CONTROL SYSTEM OF COLLECTOR ENGINE OF CNC MACHINE

An emerging trend in recent decades is the increasing role of CNC equipment, which has already become one of the main types of equipment in significant portions of modern technological lines. This is attributed to both the complication of technological processes and the rising demands for product quality, as well as the increased productivity and functionality of modern microprocessor systems. It is worth noting that the DC motor and its electric drive, which can operate on both direct and alternating current, occupy a significant niche in the social production system and deserve special attention. One of the key features of modern scientific and technological progress is the wide use of microelectronics in various branches of the national economy, which is constantly growing. The role of microelectronics in the development of social production is determined by its versatile capabilities in solving various tasks and its deep influence on culture and everyday life of a person. Currently, special attention is focused on the introduction of microprocessors that solve the tasks of automating the control of mechanisms, devices and equipment. Adaptation of microprocessors to specific tasks is usually carried out by developing appropriate software, which is then loaded into the device's memory. Hardware adaptation, in most cases, is carried out by connecting the necessary integrated circuits and organizing input-output corresponding to the problem being solved. These characteristics ensure high flexibility of such systems, which allows you to quickly adapt production equipment to new technological conditions. The article proposes a concept for implementing a precision microprocessor control system for a CNC machine's DC motor, implemented on the basis of single-chip microcomputers, characterized by increased reliability due to the reduction in the number of serial links. A methodology for implementing a precision microprocessor control system for a CNC machine's DC motor has also been developed, the application of which will significantly simplify the design process and reduce the time required to build such a system.

Practical Finite-Time Command Filtered Backstepping With its Application to DC Motor Control Systems

Practical Finite-Time Command Filtered Backstepping With its Application to DC Motor Control Systems

Dynamic event-triggered resilient controller design for discrete-time singular Markov jump CPSs under hybrid cyber-attacks

In this article, the hybrid cyber-attacks for singular Markov jump systems (MJSs) are mainly solved by designing the asynchronous mixed H∞ and passive controller. A kind of dynamic event-triggered (ETM) based strategy is adopted to maximize the savings of network bandwidth resources. And the hybrid cyber-attacks including two common attacks, the spoofing attack and the denial of service (DoS) attack are considered, which are assumed to be mutually independent and meet Bernoulli distribution. The singular MJSs under cyber-attacks are converted into the singular Markov jump time-delay systems. Then, the criteria of stochastically stable for the closed-loop singular MJSs meeting the mixed H∞ and passive performance are obtained by linear matrix inequalities (LMIs). And by optimizing the obtained LMIs, the gains of asynchronous resilient controller are further derived, and the weighting matrices of dynamic event-triggered based strategy are also gained. Eventually, the feasibility of the offered way is verified by an industrial example of DC motor control system.

Genetic Algorithm based PID Tuning Software Design and Implementation for a DC Motor Control System

This study presents the software and implementation for proportional-integral-derivative (PID) tuning of a DC motor control system using genetic algorithm (GA). The PID parameters for a specific control structure are optimized using GA in the proposed tuning procedure. Also, integral time absolute error (ITAE) is used as a fitness function to optimize the parameters. The robustness of the control system is compared with conventional mathematical method. Simulations are carried out in MATLAB/Simulink to compare the results of a DC motor control system. Simulation results show that in terms of overshoot, steady-state error, and settling time, GA-based PID tuning approach performed better than conventional method. Additionally, a sensitivity analysis is performed to evaluate how robust the proposed approach is to parameter variations. The analysis shows that compared to the conventional method, the GA-based PID tuning algorithm is more adaptable to variations in system parameters.

Research on Active Disturbance Rejection Control of Brushless DC Motor Based on Vector Control

A Active Disturbance Rejection Control strategy based on vector control is proposed to address the problems of poor speed overshooting immunity in the control system of brushless DC motor. The motor magnetic chain and torque are decoupled by vector control method to simplify the control, and the traditional PI controller in the speed loop is replaced by a active disturbance rejection controller. The transition process is arranged by tracking differential (TD) to smooth the given speed, which overcomes the contradiction between speed overshoot and rapidity, and improves the response capability of the system; a second-order extended state observer (ESO) is introduced, which estimates and compensates the total system disturbance and improves the system's immunity to disturbance; and the nonlinear law state error feedback (NLSEF) is utilized by the Through the nonlinear law state error feedback (NLSEF), the control accuracy of the system is improved by utilizing the nonlinear control principle of "large gain with small error and small gain with large error". The simulation results show that the control strategy proposed in this paper is characterized by fast response, no overshooting, strong resistance to load disturbance, and strong robustness to changes in load and speed, which proves the feasibility and advancement of this strategy.

Design of Double Closed Loop Control System for DC Motor Based on TX8C1010 Single Chip

In order to improve the operational strength and control precision of the DC motor, a double closed-loop control system based on TAIXIN TX8C1010 MCU is proposed. The single chip is based on a high-speed 8051 core, which is applied to home appliances and can realize the double closed-loop motor control algorithm. The given speed value provided by the potentiometer is compared with the real-time speed value and inputs the error to the speed loop function, which is based on the incremental PID algorithm, to calculate the reference current value. Then it is compared with the real-time current value and inputs the error into the current loop. The PWM signal duty cycle is determined by the output value of the current loop to adjust and stabilize the motor speed. The drive circuit outputs the PWM signal in the inverse amplification way to control the operation of the DC motor, and finally tests the function on the MAGTROL M-TEST7 motor test platform. The test results show that the control system has fast response speed, strong load capacity, good robustness and safety. Hence, TAIXIN TX8C1010 single-chip machine is feasible in the DC motor control. It can be improved to strengthen its load characteristics according to the parameters and applied to a variety of power DC motor control.

Fuzzy PID Speed Controller of DC Motor Based on MATLAB

Because of its few of components and low price, DC motors frequently serve in the field of automatic control. The control accuracy and stability of the DC motor depend on the parameters of the control system, so it is of great significance to design the controller and optimize the control parameters. This paper presents a Fuzzy PID control framework, which successfully works on the performance of DC motor. The controller is based on the basic rules of fuzzy control theory and uses MATLAB simulation to realize its function. To look at the control precision of Fuzzy PID and the dependability of motor activity, Fuzzy PID algorithm and PID algorithm are simulated in MATLAB programming, separately. The simulation data show that the control effect of Fuzzy PID controllor is better than PID controllor in the DC motor control system, so Fuzzy PID controllor is worth popularizing.

Design of a Two-phase Brushless DC Motor Control System

With the depletion of petrochemical resources in the whole region, reducing the dependence on petrochemical energy, and reducing environmental pollution and carbon emissions have become the common goal of the world. Pure electric vehicles are a kind of new energy vehicle. Compared with fuel vehicles and other types of electric vehicles, they have high energy utilization efficiency, low price, and less pollution emission. Therefore, this paper will discuss the structure, working principle, and control system of the two-phase brushless DC motor and put forward the two-phase four-bridge arm drive scheme to improve the voltage utilization rate and achieve more environmentally friendly and efficient electric energy application.

Matlab/Simulation of Brushless DC motor vector control

Based on improving the dynamic and static performance of the brushless DC motor control system, a speed current closed-loop brushless DC motor control scheme is designed by using SVPWM. In the light of the environment of matlab/simulink, the vector control model of BLDCM is established by using the control strategy of id=0 and the idea of modularization. The simulation results show that the system has good dynamic and static performance and stable operation, which proves the reliability and effectiveness of the simulation model.

The design of an affordable fault-tolerant control system of the brushless DC motor for an active waist exoskeleton

The design of an affordable fault-tolerant control system of the brushless DC motor for an active waist exoskeleton

DC motor fault detection and isolation scheme with the use of directional residual set

The subject of research is presented as online-estimation of characteristics of DC motors under various loads. The paper is devoted to a modern approach to solve the problem of detecting DC motor failures. Proposed detection method is based on the set of full state Luenberger observers. Isolation scheme uses directional residual set and relationships between fault direction and residual vector. The procedure of synthesizing the fault detection and isolation algorithm for DC motor is designed. This scheme performance is proved with computer modeling of typical DC motor RK 370CA with faults caused by unaccounted force momentum acting on rotor, input voltage disturbance, velocity and current sensors failures. The algorithm correctly defines motor state (fault presence or absence) and also properly isolates fault cause. Proposed method advantage is compared to other solutions based on hardware and timing redundancy, identification and observers lies in the opportunity to detect and isolate faults of input and output signals with trivial synthesis and absence of the need to expand system hardware. Proposed method is applicable to any second order system, and also there is a possibility to use it for higher order systems with the corresponding changing of the equation systems solving for observer synthesis. This algorithm allows realizing online fault isolation and does not require additional measuring which promotes decrease of diagnostic costs, repair and serving time saving, modern accident detection. The results can be applied to DC motor control to increase reliability and to develop DC motor control systems.

Analytical tuning rules for second-order reduced ADRC with SOPDT models

This paper presents a set of tuning rules for second-order reduced linear active disturbance rejection control for second-Order Plus-Dead-time (SOPDT) models. Rules are developed with a target to achieve a good compromise between tracking and disturbance rejection performances. Subsequently, it is formulated as a multi-objective optimization problem consisting of Integral Absolute tracking and regulatory errors as its objectives with a specified robustness level and a stability condition as constraints. The optimization problem is solved by a Multi-objective Quasi-Oppositional Rao-1 (MOQO-Rao-1) algorithm to generate the required Pareto optimal solutions. A compromised solution is chosen among these Pareto optimal solutions using Grey Relational Analysis (GRA). Finally, the resulting best solutions are used to fit a polynomial model using regression resulting in analytical tuning rules. Separate tuning rules are presented for lag-dominated and delay-dominated SOPDT models. The proposed tuning rules are validated through simulations on standard benchmark systems, power-system load frequency control problems, and experimentally on a temperature control system and DC motor control system. Furthermore, a condition on tuning parameters for closed-loop system stability is presented using the dual-locus method; the same is incorporated as one of the constraints in the proposed tuning framework.

Simulation of Solar Powered DC Motor Control Using H-Bridge Converter

In this paper, the solar powered DC motor control system is considered and simulations are performed using various controllers and H-Bridge Buck Boost converter. The parameters varied are: irradiance and temperature. When input parameters are changed abruptly, such as sudden rise or fall in temperature or irradiance, DC motor performance is observed. These parameters are changed separately, keeping other parameter constant. The main aim is to obtain smooth DC motor control and operation under all input conditions. The simulations results are executed and compared for different controllers using MATLAB/SIMULINK environment.

Research on brushless DC motor control system based on Fuzzy Adaptive PID control

Conventional PID control is often difficult to achieve ideal control effect when the actual object is nonlinear, time-varying uncertainty and strong interference. In order to make brushless DC motor have faster response speed and higher anti-interference performance, a fuzzy adaptive PID control speed and current double closed-loop system is proposed. The simulation model of BLDCM is built in Simulink and the dynamic simulation is carried out. The simulation results show that the fuzzy adaptive PID control of Brushless DC motor has better robustness, response speed and anti-interference ability than the conventional PID control.

Implementing optimization of PID controller for DC motor speed control

The point of this paper presents an optimization technique which is flexible and quick tuning by using a genetic algorithm (GA) to obtain the optimum proportional-integral-derivative (PID) parameters for speed control of aseparately excited DC motor as a benchmark for performance analysis. The optimization method is used for searching for the proper value of PID parameters. The speed controller of DC motor using PID tuning method sincludes three types: MATALB PID tunner app., modified Ziegler-Nicholsmethod and genetic algorithm (GA). PID controller parameters (Kp, Ki and Kd) will be obtained by GA to produce optimal performance for the DC motor control system. Simulation results indicate that the tuning method of PID by using a genetic algorithm is shown to create the finest result in system performance such as settling time, rise time, percentage of overshoot and steady state error. The MATLAB/Simulink software is used to model and simulate the proposed DC motor controller system.