Speed Control Of DC Motor Research Articles

Design of Advanced Controllers for Speed Control of DC Motor

In this research work, an open-loop experimental DC motor from National Instruments is investigated for speed control applications in the nuclear industry with higher accuracy. For performance analysis, the DC motor is mathematically modeled, and advanced control techniques are established. The two design approaches are therefore hardware in loop which is an experimental facility and mathematical in nature which is a simulation model. An adequate mathematical model of the DC motor is developed using the first principle. The hardware realization is accomplished by the DC motor experimental setup. Different advanced control algorithms such as PID, SMC, and MPC are developed for both model-based and hardware-based DC motor research studies. Model development, control synthesis, simulation, and analysis are carried out in Simulink and LabVIEW programming environments. Closed loop performance analyses of nonlinear and predictive controllers are evaluated and found much better, smoother, and robust than linear controllers for speed control of DC motors under different conditions.

Model-based adaptive security control strategy against false data injection attacks in cyber–physical systems

This paper addresses the problem of adaptive security control for cyber–physical systems (CPSs) under external nonlinear disturbances and false data injection (FDI) attacks on actuators. To address FDI attacks, a full-order disturbance estimator is proposed for eliminating disturbances in the forward channel. Furthermore, an attack model based on the system state vector is developed to estimate the attack vector by considering potential attacks that can induce state errors between the reference model and the actual system. Subsequently, a novel model-based adaptive security control (MASC) strategy is devised using attack compensation and state feedback. The key advantage of our proposed strategy lies in its ability to effectively mitigate the adverse effects of attacks while accounting for nonlinear disturbances. Finally, experimental validation conducted on a brushless DC motor speed control system demonstrates the capability of achieving high output tracking accuracy.

Developing and Simulating a Model using Proportional Integral Derivative (PID) on Matlab/Simulink for Speed Control of DC Motor

This study uses MATLAB/SIMULINK to perform a thorough inquiry of the use of Proportional Integral Derivative (PID) control for accurate speed control of a DC motor. To increase steady-state error, decrease settling time, and improve transient response, the suggested model uses sophisticated PID tuning techniques. The efficacy of the PID controller in preserving the intended speed setpoints is demonstrated by means of comprehensive simulation experiments that assess its performance in a range of operational scenarios. This work creates a useful foundation for DC motor speed control system optimization in addition to offering insightful information on PID-based control techniques.

Türev Filtresi Kullanımının Pathfinder Algoritması ile Optimize Edilmiş Bir PID Denetleyici Üzerindeki Etkisi: Bir DC Motor Hız Kontrol Sistemi Örneği

In this article, Pathfinder-Derivative filtered proportional-integral-derivative controller (PF-PIDF) is proposed as the optimum algorithm and controller for DC motor speed control. The Pathfinder algorithm is inspired by the collective behavior of the animal colony and imitates the leadership hierarchy of the herds in order to determine the best meal or hunting ground. The movement of all particles is not regular, they all move randomly. In order to acquire the best parameters of the derivative filtered PID controller (PIDF) controller with the Pathfinder algorithm, the objective function ITAE (Integral of the Time Multiple Absolute Error), one of the commonly used objective functions in the literature, was used. Time solution set analysis, frequency response analysis (bode), robustness analysis, pole-zero map analysis and load disturbance rejection analysis were performed in MATLAB/Simulink software to make comparisons between algorithms and controllers and to testify the sufficiency of the proposed controller. As a result of the studies, it has been seen that the with PIDF Pathfinder algorithm has better performance than the other optimization algorithms in the article.

SSA-based Fractional Order PI-PD Cascade Controller Design for DC Motor Speed Control

Bu çalışmada doğru akım (DA) motoru hız kontrolünü sağlamak için eklemeli ve kesir dereceli (FOPI-FOPD) denetleyici tasarımı önerilmiştir. Önerilen denetleyici parametreleri son yıllarda geliştirilen Serçe Arama Algoritması (SAA) ile optimize edilmiştir. Denetleyici parametrelerinin aranması için çeşitli amaç fonksiyonları kullanılmıştır. Bu amaç fonksiyonları zamanla çarpılan mutlak hatanın integrali (ITAE), mutlak hatanın integrali (IAE), zamanla çarpılan hatanın karesinin integrali (ITSE), hatanın karesinin integrali (ISE) ve Zwe-Lee Gaing (ZLG) fonksiyonudur. Zaman bölgesinde aşma (M_p), oturma süresi (t_s) ve yükselme süresi (t_r) bakımından kullanılan amaç fonksiyonlarından elde edilen sonuçlar karşılaştırılmıştır. Ayrıca elde edilen sonuçlar frekans bölgesinde kazanç marjı, faz marjı ve bant genişliği açısından incelenmiştir. Zaman ve frekans bölgesinde farklı amaç fonksiyonlarından elde edilen en iyi sonuç literatürdeki çalışmalarla karşılaştırılmıştır. Ayrıca önerilen denetleyicide elde edilen en iyi sonuç için gürbüzlük, bozucu yük ve referans hız değişimi analizleri incelenmiştir.

Optimization and control of the brushless DC motor speed for a Battery Electric Vehicle (BEV) using Fuzzy-grasshopper optimization regenerative braking system

Transportation electrification is at the core of the possible solutions to many challenges the world is currently facing. Efficient vehicle electrification has the potential to simultaneously reduce greenhouse gasses emissions and to tackle range anxiety issues. Among different strategies for advancements in Battery Electric Vehicle (BEV) efficiency, enhancing Regenerative Braking (RB) capabilities is an area with opportunities. As RB faces different impediments, upgrades in safety, efficiency, and/or battery quality of life are usually accompanied with further strain in energy management schemes, limiting RB performance. Power Electronics (PE) improvements are among the options that have the potential to benefit RB and overall efficiency. This work proposes a method to improves RB through brushless DC Motor. As the EV speed drops, the fuzzy-grasshopper optimization regulates the regenerative braking torque to maintain the braking system's dependability. The fuzzy-grasshopper optimization controller also provides real-time fulfillment of the brake distribution force between the front wheel, rear wheel, and subsection of the regenerative forces and mechanical. At the conclusion of the run, the estimated SOC for smooth roads was 23.72%, compared to the measured SOC for smooth roads of 20.71%, and the simulated FL-RB SOC is 21.25%. At the rough road's conclusion, the measured SOC was 14.8%, the SOC simulated with the FL-RB was 15.98%, whereas without the FL-RB, the predicted SOC was 20.72%.

Effective speed control of brushless DC motor using cascade 1PDf-PI controller tuned by snake optimizer

This paper introduces a cascade one proportional derivative incorporating filter (1PDf)-proportional integral (PI) controller abbreviated as c-1PDf-PI to deal effectively with the speed control issue of brushless DC (BLDC) motors. Two problems exist with implementing this controller such as iterated integral overflow and derivation-based chattering owing to the noise. The former is resolved by using an equivalent expression for the integral operation, while the latter is addressed by putting a first-order filter on the derivative term. To achieve the best performance from the controller, snake optimizer (SO) is fruitfully employed for optimizing the controller parameters without need for expert knowledge/interpretation. Here, a more reasonable cost function to assess the candidate solutions is also described. Simulations and laboratory experiments using DSP of TI TMS320F28335 are performed and the results are presented which show that the reference tracking performance, torque disturbance capability and robustness of the c-1PDf-PI controller have potential. These results are also contrasted by those offered by PI and 1PDf speed control schemes individually, affirming the superior performance of our proposal. As per the results, discussion and observation of this research, we stress that good performance and simplicity are salient advantages of the c-1PDf-PI controller, rendering it a good alternative over the complicated controller designs.

Optimized PID and NN-based Speed Control of a Load-coupled DC Motor

In this work, three control strategies are presented, compared, and discussed, applied on a load-coupled DC motor. The purpose is to control in an optimal way the motor speed in terms of the armature voltage. Two strategies are based on PID control, working on the classical PID controller and the optimized one by using particle swarm optimization (PSO) to tune the PID controller parameters. The other strategy is based on neural networks (NNs) where two NNs are built to model and control the system. Based on the results, all the strategies reach excellent performances, however, in terms of system response characteristics like rising time or settling time the PID-based controllers show faster responses than the NN controller. Moreover, by comparing these results with other studies that are working with an unloaded DC motor and even when the working system is more complex, the obtained results have a better performance.

A Dynamic Voltage-Based Current Estimation Technique for DC Motor Speed Control Applications

A Dynamic Voltage-Based Current Estimation Technique for DC Motor Speed Control Applications

A fuzzy-based Predictive PID for DC motor speed control

A fuzzy-based Predictive PID for DC motor speed control

Design of a Taguchi-GRA optimized PID and adaptive PID controllers for speed control of DC motor

Design of a Taguchi-GRA optimized PID and adaptive PID controllers for speed control of DC motor

An Application of Feedback Linearizing Controller with Disturbance Observer for DC Motor Real-Time Speed Control

The main objective of this paper is the hardware implementation of robust speed and torque control of DC motors. The proposed speed controller is a feedback linearizing controller (FLC) with a disturbance observer (DO). The designed control circuit can withstand non-linearities of the system and other unpredictable disturbances. In addition, the exact mathematical modelling of the controller is used and thus the system can be easily reproduced to any higher rating. The converter used to interface the DC motor is a bi-directional H bridge converter that can supply and accept power at any voltage conditions. The developed system is experimentally tested under different case studies of motoring and regenerating conditions. From the results, it is verified that the objective is met, and the designed prototype system can work accurately to follow the speed and load torque. The designed system can be used for variety of industrial applications including electric traction, robotics, and various fixed as well as variable speed electric drives.

Disturbance Observer-based Bio-inspired LQR Optimization for DC Motor Speed Control

Disturbance Observer-based Bio-inspired LQR Optimization for DC Motor Speed Control

Speed Control of DC Motor – A Review

This paper aims to provide an overview of the work of the various tuning controls to control the speed of a DC motor. A DC motor is widely used in the industry, even as the cost of maintenance is higher than that of an induction motor. DC-motor-speed-control, it has attracted a lot of research and several methods have been developed. All of the controllers have been widely used in many fields, such as process control, manufacturing, automation, automotive industry, etc. The soft-computing configuration is quite complex, than that of a conventional controller for controlling the speed of a DC motor. The setting of the CONTROLLER parameters is important, because these parameters have a great influence on the stability and the performance of the system

Modeling, Design and Control of Speed DC motor using chopper

An electric motor, a power controller, and an energy-transmitting shaft make up an electrical drive. Power electronics converters are utilized as power controllers in contemporary electrically driven systems. DC actuators and AC drives are the two primary categories of electric drives. This study presents design and modeling techniques for very effective individually stimulated DC motor speed control. A DC motor speed controller can be implemented using a chopper circuit as a converter. The controller transmits a signal into the chopper firing circuit, which in turn generates the desired speed of the chopper by varying the voltage supplied to the motor's armature.One type of controlling loop is the speed controller, and another is the current controller. A proportional-integral controller is used. Eliminating the delay with the aid of this controller makes rapid control possible. It creates a separately stimulated DC motor. A current and speed regulator are built in to give the DC motor high-speed control in a steady condition. Under different speed and torque conditions, the model is simulated and examined in MATLAB (Simulink). Results that are satisfactory are achieved, validating the capacity of the chopper approach to control the speed of a DC motor.

Tradeoff Techniques for Stabilization of Network-Controlled DC Motor Speed Control System with Uncertainties

This paper details the development of a tradeoff techniques using the conventional time-domain method for stability assurance of network-controlled DC motor speed control system with uncertainties. The DC motor controlled using an open communication network introduces time-delays in the control loop. These time-delays are one of the factors that decides the stability and performance of the dynamical systems. Stabilization of network-controlled DC motor is achieved by tuning the network controller with concern to time-delay. The maximum extend of time-delay called delay margin is computed by developing stability criterion using Lyapunov–Krasvoskii functional and linear matrix inequality techniques. The impact of load disturbances on stability delay margins are investigated and further determining the relationship between delay margin and controller gains for network-controlled DC motor gives a tradeoff between stability and dynamic performance. Finally, proposed results for network-controlled DC motors are validated through Matlab simulation and experimental setup.

Sliding mode control with higher order strategy for buck converter in the presence of dynamic load

The combination of DC-to-DC converters with DC machines for smooth beginning of DC drives has various practical applications. The Buck converter provides smooth start of the DC motor by applying desired voltage in accordance with the control signal. This paper proposes a Higher Order Sliding Mode (HOSM) based control algorithm for the speed control of Permanent Magnet DC (PMDC) motor with Buck converter under different loaded conditions. This control algorithm minimizes the initial peak current and provides smooth speed control with load changes. The performance of proportional integral derivative sliding surface is compared with classical sliding surface for constant load torque through Matlab simulation. In proportional integral derivative sliding surface (PIDSS), the integral component aids in the elimination of steady-state errors in the variable under control. This is especially useful for systems where it is essential to maintain zero steady-state error. Simulation results indicate the performance of the proposed HOSM control algorithm in achieving the required speed and load variations in finite time.

A Proposed Simulation Approach for Teaching the Design of a DC Motor using MATLAB

This paper deals with the design of speed and torque control of DC motor drive. The PI control scheme is proposed for the system, and it is usually used in DC motor drives. The proposed control schemes guarantee the asymptotic stability of the closed-loop system. The converter that is used in the system is a 4-quadratic switch-mode DC-DC converter. The design is based on a small signal model and verified using a large signal model. To illustrate the developed control schemes, the performance of the closed loop system is simulated using MATLAB. The simulation, analysis, and discussion are introduced to present the efficiency of the scheme.

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

Pengendali Kecepatan Motor DC Terhadap Perubahan Suhu Menggunakan PLC dan Human Machine Interface

Controlling the speed of a DC motor in proportion to changes in temperature of a K-type thermocouple uses a Programmable Logic Controller and the Human Machine Interface to enable monitoring of the temperature and speed of the Direct Current motor from changes in the thermocouple sensor as input in the form of temperature data reduced to analog. to digital converter in the form of digital data and controls the speed of the DC motor by adjusting the Pulse Width Modulation. DC motor speed control for temperature changes from a thermocouple sensor with a control system using a Programmable Logic Controller and displayed on the Human Machine Interface. In this test, only heating the sensor at a temperature of 30 oC to 100 oC and the speed of the DC motor where the temperature is greater, the PWM value makes the DC motor rotate faster. In controlling DC motors with PWM using a frequency of 10 Hz to get a PWM value of 0% - <54% the motor will rotate at low speed. PWM 54% - <84%, the motor will rotate at medium speed. PWM 84% - >90%, the motor will rotate at high speed