Motor DC Speed Adjustment By Propotional Integral Derivative (PID) Based on LabView

Author(s):  
Alifa Restu Janwar Wiriawan

Abstract - DC motors are widely used in small and large industries. DC motor speed is often unstable due to outside interference and changes in the parameters of the fabrication so it is necessary to design a controller. Motor DC speed adjustment and monitoring is a crucial system as it i implemented in industrial. This motor DC speed adjustment and monitoring using computer interface where in industial this system will support operator for adjusting and monitoring motor speed. For acquiring best control parameters, tuning is needed for acquiring best Proportional Integral Derivative(PID) value. This tuning is used for find the best proportional gain, time integral, derivative time. PID controller will give a better control respond to the DC Motor based on the error, the DC motor rotation speed needed is called Setpoint. The labview software used as an interface of monitor and control. Keyword : LabView, Motor DC, Arduino, Ouptocoupler, Computer

Author(s):  
Andrean George W

Abstract - Control and monitoring of the rotational speed of a wheel (DC motor) in a process system is very important role in the implementation of the industry. PWM control and monitoring for wheel rotational speed on a pair of DC motors uses computer interface devices where in the industry this is needed to facilitate operators in controlling and monitoring motor speed. In order to obtain the best controller, tuning the Integral Derifative (PID) controller parameter is done. In this tuning we can know the value of proportional gain (Kp), integral time (Ti) and derivative time (Td). The PID controller will give action to the DC motor control based on the error obtained, the desired DC motor rotation value is called the set point. LabVIEW software is used as a PE monitor, motor speed control. Keyword : LabView, Motor DC, Arduino, LabView, PID.


In developed nations, industries are made to function at control engineering costs via the use of appropriate control schemes for dc motors. This paper introduces the role played by dc motors in industries thereby necessitating the analysis and performance validation of dc motor in Internal Model Control (IMC) scheme as against the Proportional– Integral–Derivative (PID) control schemes that is widely used in most industries. Theories on dc motor model, PID and IMC controller were detailed to paved the way for the methodical approach of getting specifications and transfer function for a typical dc motor (model RMCS-3011). Matlab/Simulink software was then used to tune the PID controller for the purpose of finding the values of PID gains that meets the design requirements to achieve best performance, thereby enabling the simulation of the PID controller. Using Matlab m-file environment, IMC controller transfer function was generated and simulated. The IMC controller transfer function aimed at achieving a unity gain that tracks the set-point was approximately realized. In the realization process, it was obvious that a filter is required. The aim of this work is to evaluate the performance of the IMC controller over PID controller. Simulated plots in Matlab-Simulink using the PID gains for the PID controller, and time constants and filter order for the IMC were presented. The quantitative results of the IMC method when compared with that of PID control provides a commendable performance. However, the performance in terms of rise time is small and preferred with the use of Matlab-Simulink tuned PID controller. Conclusively, IMC controller would be the preferred controller where the robustness and accuracy of the dc motor speed control counts more than faster response


Author(s):  
WALUYO WALUYO ◽  
ADITYA FITRIANSYAH ◽  
SYAHRIAL SYAHRIAL

ABSTRAKMotor DC banyak digunakan di industri kecil dan besar.Kecepatan motor DC sering tidak stabil akibat gangguan dari luar maupun perubahan parameter dan torsi beban sehingga perlu dilakukan rancangan kontroler.Kontroler yang dirancang menggunakan PID yang terdiri dari tiga jenis cara pengaturan yang dikombinasikan, yaitu kontrol P (Proportional), kontrol I (Integral) dan kontrol D (Derivatif).Kontroler yang dirancang disimulasikan menggunakan perangkat lunak. Hasil simulasi menunjukan kontroler PID untuk kendali kecepatan motor DC ini menghasilkan kondisi robust (kokoh) saat nilai Kp = 1,1, Ti = 0,1, Td = 3,7. Hasil dari parameter kendali yang dirancang memiliki error steady state 0,99 % dan dengan settling time 3,7 detik pada rise time 2,00 detik dan nilai peak terletak pada 0,99. Kecepatan awal yang dihasilkan mendekati set point yang diinginkan pada detik ke 6 dan kecepatannya tidak ada penurunan atau tetap konstan sampai dengan detik ke 100.Kata kunci: Motor DC, PID, Heuristik, Steady State, Rise Time ABSTRACT DC motors are widely used in small and large industries. Their speeds are often unstable due to interference from outside or change the parameters and load torque, so that it was necessary to design a controller. The controller was designed using a PIDconsists of three types of arrangements, which are mutually combined way, namely the control P (Proportional), control I (Integral) and control D (Derivative). The controllers were designed using software for simulation. The simulation results showed the PID controller for DC motor speed control produced robust conditionswhen the value of Kp, Ti and Tdwere 1.1,  0.1 and 3.7 respectively. The results of the control parameters had error steady state 0.99 % and the settling time of 3.7 seconds at 2.0 sec rise time and the peak value was 0,99. The resulted initial velocity was very fast to approach the desired set point in the sixth second and its speed was remain constant until 100thsecond.Keywords: Motor DC, PID, Heuristic, Steady State, Rise Time


2021 ◽  
Vol 2 (1) ◽  
pp. 7
Author(s):  
Irfan Irhamni ◽  
Riries Rulaningtyas ◽  
Riky Tri Yunardi

DC motor is an easy-to-apply motor but has inconsistent speed due to the existing load. PID (Proportional Integral Differential) is one of the standard controllers of DC motors. This study aimed to know the PID controller's performance in controlling the speed of a DC motor. The results showed that the PID controller could improve the error and transient response of the system response generated from DC motor speed control. Based on the obtained system response data from testing and tuning the PID parameters in controlling the speed of a DC motor, the PID controller parameters can affect the rate of a DC motor on the setpoint of 500, 1000, 1500: Kp = 0.05, Ki = 0.0198, Kd = 0.05.


Author(s):  
Salman Jasim Hammoodi ◽  
Kareem Sayegh Flayyih ◽  
Ahmed Refaat Hamad

<span>In this paper, we first write a description of the operation of DC motors taking into account which parameters the speed depends on thereof. The PID (Proportional-Integral-Derivative) controllers are then briefly described, and then applied to the motor speed control already described , that is, as an electronic controller (PID), which is often referred to as a DC motor. The closed loop speed control of a Brush DC motor is developed applying the well-known PID control algorithm. The objective of this work is to designed and simulate a new control system to keep the speed of the DC motor constant before variations of the load (disturbances), automatically depending to the PID controller. The system was designed and implementation by using MATLAB/SIMULINK and  DC motor.</span>


Author(s):  
Sharad Gupta

New applications requiring both speed and position control have emerged as a result of technological advancements. In many applications, a DC motor's speed and position can be adjusted. The PID controller controls the speed and position of individually stimulated DC motors. Using LabVIEW software, this study attempts to control the speed and position of a DC motor as well as calculate the closed loop system model. Nonlinearity in any system has undesirable implications in normal operation. Unwanted outcomes including dead zones, saturation, and system reaction.


Author(s):  
Arnisa Myrtellari ◽  
Petrika Marango ◽  
Margarita Gjonaj

The DC motors are widely used in the mechanisms that require control of speed. Different speed can be obtained by changing the field voltage and the armature voltage. The classic PID controllers are widely used in industrial process for speed control. But they aren’t suitable for high performance cases, because of the low robustness of PID controller. So many researchers have been studying various new control techniques in order to improve the system performance and tuning PID controllers. This paper presents particle swarm optimization (PSO) method for determining the optimal PID controller parameters to find the optimal parameters of DC Motor speed control system. The DC Motor system drive is modeled in MATLAB/SIMULINK and PSO algorithm is implemented using MATLAB toolbox. The results obtained through simulation show that the proposed controller can perform an efficient search for the optimal PID controller. Simulation results show performance improvement in time domain specifications for a step response (no overshoot, minimal rise time, steady state error = 0).


Author(s):  
Qori Izmi Fatimah ◽  
Rivaldo Marselino ◽  
Asnil Asnil

This research discusses about web based speed control of DC motor. This research is a development research. The development that is design and assemble a speed control of DC motor so that becomes function work well. The result of research is speed control of DC motor and monitoring value of voltage, current and rotation speed from DC motor. Speed control of DC motor using PWM on the NodeMCU while monitoring of voltage, current and rotation speed from DC motor using voltage sensor, current sensor, and inductive proximity sensor. The results show that the system is great working. On the readings of the voltage value using voltage sensor and multimeter digital, there is a difference value between 0,01 to 0,13 Volt. While for the readings of the current value using current sensor ACS712 and multimeter digital, there is a difference average 0,01 Ampere. Proximity sensors are used  by monitoring of the rotation speed of DC motor. The result is this sensor is working and function well. Penelitian ini membahas tentang pengendalian kecepatan motor DC menggunakan web. Penelitian ini merupakan penelitian pengembangan. Pengembangan yang dilakukan ialah merancang dan merakit sebuah web dan alat pengendali kecepatan motor DC sehingga menjadi satu kesatuan dan dapat berfungsi dengan baik. Hasil dari penelitian ini adalah mengatur kecepatan motor DC serta monitoring nilai tegangan, nilai arus dan nilai kecepatan putaran pada motor DC. Pengendalian kecepatan motor DC dilakukan dengan mengatur PWM pada NodeMCU sedangkan monitoring tegangan, arus dan kecepatan putaran motor DC menggunakan sensor tegangan, sensor arus ACS712 dan sensor proximity induktif. Hasil penelitian menunjukkan bahwa sistem bekerja dengan baik. Pada pembacaan tegangan menggunakan sensor tegangan dan multimeter digital terdapat selisih antara 0,01 sampai 0,13 Volt. Sedangkan untuk pembacaan nilai arus menggunakan sensor arus ACS712 dengan multimeter digital, terdapat selesih rata-rata 0,01 Ampere. Sensor proximity digunakan sebagai monitoring kecepatan putaran pada motor DC. Hasil menunjukkan bahwa sensor ini bekerja dengan baik sesuai dengan fungsinya. 


Author(s):  
Davut Izci

This paper deals with the design of an optimally performed proportional–integral–derivative (PID) controller utilized for speed control of a direct current (DC) motor. To do so, a novel hybrid algorithm was proposed which employs a recent metaheuristic approach, named Lévy flight distribution (LFD) algorithm, and a simplex search method known as Nelder–Mead (NM) algorithm. The proposed algorithm (LFDNM) combines both LFD and NM algorithms in such a way that the good explorative behaviour of LFD and excellent local search capability of NM help to form a novel hybridized version that is well balanced in terms of exploration and exploitation. The promise of the proposed structure was observed through employment of a DC motor with PID controller. Optimum values for PID gains were obtained with the aid of an integral of time multiplied absolute error objective function. To verify the effectiveness of the proposed algorithm, comparative simulations were carried out using cuckoo search algorithm, genetic algorithm and original LFD algorithm. The system behaviour was assessed through analysing the results for statistical and non-parametric tests, transient and frequency responses, robustness, load disturbance, energy and maximum control signals. The respective evaluations showed better performance of the proposed approach. In addition, the better performance of the proposed approach was also demonstrated through experimental verification. Further evaluation to demonstrate better capability was performed by comparing the LFDNM-based PID controller with other state-of-the-art algorithms-based PID controllers with the same system parameters, which have also confirmed the superiority of the proposed approach.


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