Performance Of DC Motor Research Articles

Fuzzy Control Innovation: Optimizing DC Motor Performance with Solar Energy

Sistem pengendalian kecepatan putar motor DC dalam skala kecil atau prototipe banyak digunakan dalam industri, terutama pada sistem industri proses yang memerlukan pengaturan presisi terhadap RPM. Penelitian ini difokuskan pada penerapan solar panel sebagai sumber tegangan dalam pengendalian kecepatan motor DC pada prototipe, bertujuan untuk mengoptimalkan efisiensi biaya produksi melalui pengurangan penggunaan listrik PLN. Sistem monitoring untuk sumber tegangan, arus, dan RPM diterapkan menggunakan aplikasi Blynk pada smartphone berbasis Internet of Things (IoT). IoT adalah konsep yang memungkinkan transfer data melalui jaringan tanpa memerlukan interaksi manusia secara langsung. Penelitian ini mengeksplorasi pengendalian kecepatan putar motor DC dengan pemantauan melalui aplikasi Blynk pada smartphone. Hasil penelitian menunjukkan bahwa interval panel surya mencapai batas puncak pada pukul 13.00 WIB, dengan Vout sebesar 15,87 V, Iout sebesar 0,31 A, dan kecepatan motor DC mencapai 2660 RPM. Proses ini melibatkan penggunaan sensor tegangan, arus, RPM, dan PWM sebagai kontrol kecepatan putar motor, memberikan hasil yang dapat diandalkan untuk optimalisasi penggunaan sumber daya energi terbarukan. Penelitian ini memberikan kontribusi pada pengembangan sistem pengendalian kecepatan motor DC yang efisien dan berkelanjutan, dengan potensi aplikasi luas di berbagai industri.

Dual fuzzy logic PID controller based regulating of dc motor speed control with optimization using Harmony Search algorithm

This paper discusses the implementation of a Proportional-Integral-Derivative (PID) controller for regulating the speed of a closed loop four quadrant chopper fed DC motor. The PID controller is combined with a Dual Fuzzy Logic Controller to form a DFPID controller for enhancing the performance of speed control of the DC motor. The DFLC is optimized using a metaheuristic algorithm known as Harmony Search Algorithm (HSA). The major aim of this research is to gain an effective control over the speed of the motor in the closed loop environment. For achieving this, the parameters for the DFPID are selected through time domain analysis which aims to satisfy the requisites such as settling time and peak overshoot. Initially, the fuzzy logic controller in the DFPID controls the coefficients of the PID achievement gain an effective control over the system error and rate of error change. Further, the DFPID is improved by the HAS for obtaining a precise correction. The solutions obtained by tuning the DFPID controller are evaluated from simulation analysis conducted on a MATLAB/SIMULINK platform. The closed loop performance is analyzed in both time and frequency domain analysis and the performance of DFPID is optimized using the HSA algorithm to obtain precise value of the control process. As observed from the Simulation analysis, the DFPID-HSA generates optimized control signals to the DC motor for controlling the speed. The performance of the intended speed control approach is analyzed in terms of different evaluation metrics such as motor speed, torque and armature current. Experimental outcomes show that the proposed approach achieves better control performance and faster speed of DC motor compared to conventional PID controllers and SMC controllers

Resonant vibrations of a non-ideal gyroscopic rotary system with nonlinear damping and nonlinear stiffness of the elastic support

When motor performance characteristic is unknown, non-linear differential equations of motion of nonideal gyroscopic rigid rotary system with nonlinear cubic damping and nonlinear stiffness of the elastic support turn out to be numerically unsolvable.•In this case, the method uses the motor performance characteristic expression found from the frequency equation of forced stationary oscillations based on assumption that the angular acceleration is many times less than the square of the angular speed of rotation, replacing the stationary rotation angular speed with the shaft rotation angle derivative.•The method correctness is evidenced by a good consistency between the rotor motion equation numerical solution results and the analytical solution results, and by the nonlinear cubic damping of the shaft angular coordinate oscillograms obtained by direct simulation, as well as by comparison with the results of numerical simulation for a straight-line DC motor performance characteristic.•The method limitations are that it is used for the first approximation and weak nonlinear oscillations in the resonance region, where the shaft rotation speed is of the order of the oscillating system natural frequency.

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.

Robust Control Simulation and Implementation for DC Motor

The sliding mode controller has been suggested to achieve robust performance against parameter variations and load disturbances. It also offers a fast dynamic response, stable control system and easy hardware-software implementation. This paper focuses the application of this approach to the adjustment of a speed control DC motor, in Matlab Simulink simulation and Arduino hardware implementation, The main goal of this paper is to improve the performances of DC motor controlling by sliding mode. In first the modeling of DC motor is well explained in this paper, is important step for control of system, secondly the basic theory regarding sliding mode controller SMC using Lyapunovis function is presented. Finley the application of SMC using Matlab simulation and Arduino implementation for DC motor, the results show that SMC has a better performance compared to PI which is faster settling time and no overshoot and undershoot, could be used as an alternative controller for the DC Motor.

A Novel HSPICS for Industrial Robotic Controller Based on FPGA_SoC: Modelling and Fabrication

Tremendous studies have been proposed to optimize PI controller based Genetic Algorithm (GA) to improve the speed performance of DC motor commonly required in robotic applications. In PID controller, there are very few studies to overcome the drawbacks of classical GA, besides little pay attention to improving the speed performance of a DC motor to be measured in the microsecond unit. The main target is to maximize reduction step response characteristics, by proposing to design and fabricate a high speed proportional integral controller system (HSPICS). The primary methodology includes three sub methodologies using several new techniques and procedures to achieve three objectives. Firstly, to propose an improved genetic algorithm (IGA) to enhance the performance for better searching constraints for PI controller. Secondly, generate VHDL based Simulink model without needing expensive software. Finally, integrate the proposed controller-based on FPGA_SoC using Embedded Coder and FPGA in the loop (FIL) techniques to run the design based model. To show the effectiveness of the proposal, it was used three different DC motors. Simulation results show that the proposed controller achieves much higher reduction step response ratios (RSRR) compared with classical GA and PSO, further shortened step response characteristics to be measured in the microsecond unit. Analyzing the performance demonstrates that the RSRR has been enhanced for motors 1, 2, and 3 by 8, 9, and 35 times over classical GA, and 3, 3, and 10 over PSO, respectively. The comparison response time results between simulation and experimental for the studied motors show that the steady state time ratios (SST) were minimized significantly.

Implementation of higher order sliding mode control of DC–DC buck converter fed permanent magnet DC motor with improved performance

ABSTRACT In this paper, an attempt is made to improve the performance of permanent magnet DC (PMDC) motor using third order sliding mode control. From the derived mathematical modelling for buck converter fed permanent magnet DC motor, expressions for both classical sliding surface (CSS) and proportional integral derivative sliding surface (PIDSS) with the third order sliding mode control is derived and compared analytically. Simulation work is done for PI controller, sliding mode control (SMC), third order CSS and third order PIDSS by using Matlab/Simulink to validate the performance of the above said controllers under no-load condition and various load torque conditions such as: constant load torque, frictional load torque, fan type load torque, propeller type load torque and undefined load torque. Experimental results are obtained with PMDC motor to validate the proposed control method for various speeds with different constant load torque conditions. Comparisons are carried out both in simulation and real time for PI controller, SMC, CSS and PIDSS based on the speed settling time and steady state error. Satisfactory results are obtained and presented in this paper.

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.

SPWM Fed Induction Motor Drive Performance Using SIMULINK

In the former times, IC engines were used for transportation by most of the vehicles. But due to the depletion of fossil fuels day to day, the world is moving towards the Electric Vehicles (EVs) to overcome this problem. Electric Vehicles have higher efficiency and weight/power ratio. In general, DC motors were used in electric vehicles. The DC motors could not meet the requirements of customer needs because of its low speed range. In the recent studies, an AC Induction motor has several advantages over DC motors because of its robustness, high speed range, and efficiency and weight/power ratio. This paper presents the performance analysis of AC Induction motor when fed with the Single-Phase Inverter. The gate pulses are given by using Sinusoidal Pulse Width Modulation (SPWM) technique. The results are then compared with the performance of DC motor using MATLAB/SIMULINK.

PI and Fuzzy Logic Controller based Comparative Analysis of Separately Excited DC Motor

Separately excited dc motors (SEDCM) are generally used in laboratory and industrial applications due to their high efficiency, performance response and high torque. An idea is proposed in this paper by applying the PI and Fuzzy Logic Controller (FLC) to control the speed of SEDCM. Simulink model with and without PI and FLC has been developed in Matlab to analyze the performance of dc motor. Based on simulation results it is said that control characteristics of FLC are better than the conventional PI controller. The modeling of SEDCM and execution of the controllers is carried out in MATLAB.

Adaptive Tuning of PID Controller using Crow Search Algorithm for DC motor

The DC motor has been commonly utilized in the industry although its maintenance is costly, more than the induction motor. Consequently, speed control of DC motor has attracted considerable researches and different algorithms have evolved. All the traditional algorithms for the Proportional Integral Derivative (PID) controller provide initial practical values for (kp, ki, and kd) PID parameters, which are manually tuned to achieving the desired performance. The manual tuning is inaccurate and a hard job, which requests comprehensive experience of the problem domain. in this paper we proposed a new method to adjustment of the PID parameters to improve tracking performance of DC motor, also provides optimal stability through creating a hybrid PID-CSA predictive model for tuning parameters of the PID controller of DC motors based on Crow search algorithm. The empirical results are compared with four type of proposed PID-CSA versions [ Integral Squared Error (ISE), Integral Absolute Error (IAE), Integral Time Absolute Error (ITAE), and Integral Time Squared Error (ITSE) ] that based on the type of error indicator functions and with other previously techniques including the Ziegler-Nichols method and PSO Optimization. The PID-CSA is more adapt in improving the steady-state error, the controller step response stability, overshoot, the rising time and settling time this give rise. The performance of the DC motor is not affected by these disturbances.

Improvement of DC Motor Speed Control for Mobile Robot to Minimize Slip Phenomenon

Slip on the mobile robot has a significant impact on the maneuver and the accuracy of the mobile robot movement. The slip phenomenon occurs because of the loss of traction between the surface and the wheels due to the spontaneous acceleration or declaration application. This paper presents a method to improve DC motor performance by using slip control as an observer such that the slip phenomenon effect can be minimized. The performance that will be analyzed is the accuracy of motor speed and robot position accuracy when the robot is moving. The result shows that the Root Mean Squared Error (RMSE) for the motor speed performance that does not use slip control is 2.680, the system using slip control produces RMSE 1.3393. Regarding the robot position accuracy, the RMSE of the system that does not use slip control is 0.0379, the system using slip control is 0.0065.

New Optimal Control of Permanent Magnet DC Motor for Photovoltaic Wire Feeder Systems

This article aims to improve the permanent magnet DC (PMDC) motor performance for photovoltaic (PV) wire-feeder systems (PVWFSs) of arc welding machines. The considered technique is designed by direct speed control based on optimal Fractional-order Fuzzy PID FO-Fuzzy-PID controller. The purpose is to ensure optimal control of wire feed speed reference to reduce torque ripples and hence, the performance of the WFS is improved. The dynamic reaction of the proposed solar PVWFS relies upon the scaling factors of FO-Fuzzy-PID controller, which are optimized by using teaching-learning algorithm based on Particle Swarm Optimization (PSO) method. The maximum power point tracking (MPPT) is achieved using an intelligent FO-Fuzzy-PID current controller based Perturb and Observe (P&O) MPPT algorithm. The PVWFS system incorporating the proposed method is tested and compared with the conventional PID control scheme under different weather conditions. The simulation of the proposed system by MATLAB\SIMULINK is carried out. The simulation results indicate the effectiveness of the considered control strategy in terms of the reduction in torque oscillations, optimizing electrical power and wire feed speed.

Design of high performance DC motor actuated cable driving system for compact devices

The cable transmission is widely used in the remote operation or complex geometry with high stiffness and low backlash. Larger drum is required to reduce and error of transmission in long stroke. An error of the desired position occurs due to the fleet angle while cable winding on a drum. Therefore, a new cable driving module which overcomes this problem is proposed. A new cable driving module with a sliding platform is connected to the actuator unit. A motion of the sliding platform is corresponding to a screw rod connected to an actuator. The precision of the driving system is measured by a high-resolution rotatory encoder and high gear ratio actuator. Results are measured by load and error of the system. A load of system shows a performance of overall translation and rotation of the drum at different speeds. An error of the system is measured from forward and reverse direction by increasing and decreasing the number of turns with constant speed. A system has an average load consumption along a long stroke of cable winding which has no significant problem on the screw platform. Multiple turns have low error value in specific and continuous turn in forward and reverse motion. A new cable driving system is proved in precision movement. The fleet angle is eliminated in new mechanism. Along with a constraint motion, there is no significant change in load consumption. An error is low value in a different direction of movement. Hence, a new design of cable transmission can perform in high performance and small size of the system.

Influence of PWM Torque Control Frequency in DC Motors by Means of an Optimum Design Method

The phenomenon of non-linearity is the main problem of a DC motor and optimum performance cannot be obtained by the calculation of the controller's parameters using conventional methods. However, a DC motor is considered an extremely common device by the low-cost and effective dynamic response in various applications. Thus, it has been a subject for research studies to take advantage of its maximum performance. This manuscript proposes an experimental methodology that consists of the following: The DC motor's characterization method for finding the ideal frequency. The design of the Firmware-based Pulse Width Modulation (PWM) generating module and the P, PD, PID controller's implementation in an own FPGA-based programmable microprocessor to obtain almost the same performance as a servo-amplifier commercial of direct-drive. The PWM is a technique widely used to regulate the speed of rotation of a DC motor, in this case, the duty cycle of the PWM is used to provide the torque necessary to the mechanics of the system in order to look for a linear relationship but using the right frequency of the characterized DC motor. Finally, based on a built prototype of a micro-positioning system using the characterized motors, and the mathematical model, in both cases the three controllers were applied in order to establish the comparison between the responses, seeking to observe if the experimental results show a great difference with respect to the simulation results. The main aim of this study is to show that the proposed methodology works. However, since there was no significant difference in both results, motors used in the closed-loop control present approximately the same linear response as that of the motor model used in the simulation.

Dynamical and operational performance of shunt and permanent-magnet DC motors powered by lead–acid batteries for pumping applications

This paper presents some dynamical and operational performance of shunt and permanent-magnet DC motors powered by lead–acid batteries for water pumping applications. Starting from fully charged battery, the dynamical analysis includes the starting of fully loaded DC motors and the response of the system after successive step changes in the pumping capacities. The strong nonlinearities of the lead–acid battery model are taken into account based on simulating the electrochemical interaction by the electrical equivalent circuit. The dynamics of the thermal part of the electrolyte of the cell is considered. Additionally, the nonlinearities of the dynamical model of the motors have also been included along with that of their ferromagnetic material. The state-of-charge (SOC), variation of the efficiency and internal resistance of the batteries are outlined. It is concluded that the lead–acid battery can effectively start a fully loaded shunt and permanent-magnet DC motors within a settling time of more than 1 h following direct switching. It can also run them steadily at different loading conditions and can withstand step changes in the mechanical loads coupled to motors. It is observed that about 25% of the SOC of the battery is consumed for starting. The energy efficiency of the battery at starting and running conditions for the two motors has been addressed. All of the study is conducted assuming an ambient temperature of 25 $$^{\circ }$$C. All numerical simulations are carried out using MATLAB software package by building the code required.

Performance evaluation of electric vehicle brushless direct current motor with a novel high-performance control strategy with experimental implementation

In this article, a new control strategy for electric vehicle battery autonomy and performance improvements is proposed. This method is based on the use of a DC-DC converter combined with a brushless DC motor as an electric vehicle propulsion engine. First, an analysis of the three-phase brushless DC motor performance based on analytical modeling is addressed. This model stands on the derivative of the commutated and non-commutated phase currents from which the speed response is induced. The proposed model presents different brushless DC motor pulse width modulation control modes and allows highlighting the most appropriate mode with lower current ripple and power loss, higher efficiency and faster response. Furthermore, a DC-DC boost converter is integrated in the motor control scheme, to describe after, how the electric vehicle performance is increased when implementing this control mode. Evaluation of the analytic results has been validated through simulations on MATLAB/Simulink. The evaluation focuses on speed response for different pulse width modulation control modes, current ripple rate in addition to the electric vehicle performance with and without DC-DC converter. In addition, an experimental validation using a laboratory designed platform is performed. The proposed method demonstrates a better electric vehicle performance in terms of increasing the battery autonomy and speed range.

Performance Analysis of Brush Less DC Motor Drive Using Fractional Order Controller with PSO Algorithm

Background: This paper investigates the detailed study on the performance of Brushless DC (BLDC) motors with sudden application of loads, by using different control techniques. The increasing trend of usage of accurate control, high torque, low noise and higher efficiency for Electric Vehicles has appealed the attention Researcher in BLDC motors. So, BLDC motors can act a substitute for the conventional motors like Switched Reluctance motors, Induction Motors etc. Methods: A Fractional Order Propositional-Integral Derivative (FOPID) controller has been proposed in this paper. The parameters FOPID controller is tuned with Particle Swarm (PSO) algorithm based on Integral Absolute Time Error (IATE) rule. A comparative analysis has been carried out in this paper by simulating the BLDC motor in MATLAB/Simulink and conducting experimental setup in the laboratory. Results: The results reveal that the performance of FOPID controller is better regarding settling time, steady state error and ripple factor in the speed response with sudden load application. Conclusion: In reference to the analysis, it can be summarized that the best tuned Fractional Order PID can perform better than the PID. The digital controller isimplemented using ccs-studio and tested in the DSPms320f28335 board.

Fuzzy Logic Controller Implementation on Separately Excited DC-Motor

Various industrial and domestic applications such as automotive, aerospace,appliances and many others are electrically driven. Conventional methods of motor control had failed to produce desired performance of DC-motor due the system parameters variation and load changes. The Fuzzy-Logic-controller is one of the controllers that can handle non-linear system. This project is aimed to control the speed of a separately-excited DC-motor using fuzzy logic control. The system is simulated on MATLAB-Simulink and implemented on ARDUINO Uno development board.

Online Position Control Performance Improving Applying Incremental Fuzzy Logic Controller

This paper presents the online control system application for improving the DC motor performance. DC motor widely used in industries and many appliances. For this aim fuzzy logic controller is applied. The type of fuzzy controller use is an incremental fuzzy logic controller (IFLC). The IFLC is developed by using MATLAB Simulink Software and implemented in online position control system applying RAPCON board as a platform. The experimental results produced the best gains of the IFLC are 1.785, 0.0056955 and 0.01 for error gain (GE), gain of change error (GCE) and gain of output (GCU) respectively. Its produce smaller rise time, peak time, 0% overshoot and smaller settling time. Beside that the IFLC response also able to follow the set point. The controller response parameters values are also acceptable. It means that the IFLC suitable to be use for improving the position control system performance.