scholarly journals Perbandingan Kinerja Pengontrol PID menggunakan Antarmuka OPC pada PLC dan MATLAB untuk Sistem Pasteurisasi Susu

2021 ◽  
Vol 9 (2) ◽  
pp. 430
Author(s):  
YULIAN ZETTA MAULANA ◽  
HERRYAWAN PUJIHARSONO
Keyword(s):  
Pid Control ◽  
System Performance ◽  
Pid Controller ◽  
Pi Controller ◽  
Control Device ◽  
Sampling Time ◽  
Milk Pasteurization ◽  
Negative Effect ◽  
Response Performance ◽  
Tuning Methods

ABSTRAKPLC digunakan pada pengontrolan suhu pada pasteurisasi susu. Di sisi lain, MATLAB memiliki variasi pengontrol yang lebih luas dan dapat terhubung ke sistem Pasteurisasi Susu menggunakan OPC. Namun, penggunaan OPC dikhawatirkan akan menurunkan kinerja sistem karena waktu tunda dan waktu sampling. Penelitian ini bertujuan untuk membandingkan kinerja pengontrolan PID pada sistem pasteurisasi susu dari MATLAB dan PLC dengan memperhatikan pengaruh antarmuka OPC. Pada penelitian ini, kinerja peralihan sistem diukur dengan pengontrol yang berbeda, menggunakan metode penalaan yang berbeda dan berasal dari PLC dan MATLAB. Hasil penelitian menunjukkan bahwa penggunaan OPC tidak memberikan efek negatif pada kinerja sistem. Nilai rata-rata MSE setelah keadaan stabil pada pengontrol PI adalah 70,66 sedangkan pada pengontrol PID 1,16. Nilai MSE Pengontrol PID dengan Penalaan Cohen Coon adalah 0,356. Dapat disimpulkan bahwa pemilihan piranti pengontrol lebih memiliki efek signifikan terhadap kinerja dibandingkan dengan penggunaan OPC.Kata kunci: Pasteurisasi, Cohen Coon, PLC, MATLAB, OPC ABSTRACTPLC can be used to control temperature in milk pasteurization process. MATLAB has more usable Controllers that can be used in milk pasteurization process through OPC .The concern is that the use of OPC will reduce system performance due to delay and sampling time. This study aims to compare the performance of PID control in the milk pasteurization system usingMATLAB and PLC as controllersregarding the effect of using OPC interfaces. In this research, the transient response performance of the system was measured using different type of controllers, twhich use different tuning methods based on PLC and MATLAB. The results showed that the use of OPC did not have a negative effect on system performance. The MSE average in a steady condition for PI controller is 70,66, and for PID controller is 1,16. MSE result using Cohen Coon controller is 0,356. So it can be concluded that the choice of the control device has a more significant effect on performance than with the use of OPC.Keywords: Pasteurization, Cohen Coon, PLC, MATLAB, OPC

scholarly journals STUDI NUMERIK SIMULASI ROBOT PEMBERSIH KACA PADA GEDUNG BERTINGKAT

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Balisranislam Balisranislam ◽  
I Nyoman Sutantra ◽  
Bambang Sampurno ◽  
Herry Sufyan Hadi
Keyword(s):  
Control System ◽  
Public Relations ◽  
Pid Control ◽  
Pid Controller ◽  
Circulation System ◽  
Natural Lighting ◽  
Pid Tuning ◽  
Human Labor ◽  
Glass Cleaning ◽  
Tuning Methods

<p><span lang="IN">Buildings have priority to support the comfort and public relations of air circulation system and natural lighting, where the most widely used system is glass. In general, the process of cleaning glass in multi-storey building using conventional labor is by human labor. This process is relatively simple but has a loss in work accidents. Therefore, this study discusses glass cleaning robots. the working system of moving the wheel of the robot directly, and the control system using PID control. Tuning PID using Zigler-Nichols and Find Tuning methods with Simulink. Based on the results of PID Controller Calculation using Zigler Nichols method, the value obtained Kp = 0,01446, Ki = 0,0000026, and Kd = 9524,35. While calculation of PID controller using PID tuning with simulink, obtained value Kp = 19,365, Ki = 13,115, and Kd = 5,699. The speed control system using the Zigler-Nichols method does not produce a good response, because the resulting response is still unstable. While PID control using Tuning can produce a good response with up time can be achieved within 1.39 seconds, over shoot by 8% and the exact completion time is 5 seconds</span></p><p> </p>

Study on Auto-Tuning PID Controller

2014 ◽  
Vol 1037 ◽  
pp. 225-227
Author(s):  
Yin Ping Chen
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Control Method ◽  
Industrial Process ◽  
Parameter Tuning ◽  
Relay Feedback ◽  
Tuning Method ◽  
Common Control ◽  
Auto Tuning ◽  
Tuning Methods

PID control is the most common control method used in process control. The PID control parameters tuning methods are develop constantly. At present, in numerous tuning methods, there are mainly two methods applied better in the practical industrial process. One is based on pattern identification (based on rules); the other is based on relay feedback (based on model). They are collectively referred to as intelligent PID parameter tuning method. This paper studies on the PID parameter auto-tuning methods and introduces the results of the latest research on this subject. Finally, the development direction of auto-tuning PID controller was also prospected.

Optimal MIMO PID Controllers for the MIMO Processes

2011 ◽  
Author(s):  
Xian Hong Li ◽  
Hai Bin Yu ◽  
Ming Zhe Yuan ◽  
Chuan Zhi Zang ◽  
Zhuo Wang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Design Method ◽  
Pid Controllers ◽  
Proportional Integral Derivative ◽  
Nonlinear Constraint ◽  
Pid Tuning ◽  
Squared Error ◽  
Different Types ◽  
Tuning Methods

This paper focuses on the design method of the optimal multiple inputs and multiple outputs (MIMO) proportional integral derivative (PID) controllers for the MIMO processes via using Lyapunov theorems. A hybrid augmented integral squared error (HAISE) is applied to design the optimal multi-loop PID controller for the MIMO plants. The optimal multi-loop PID control problem is transformed into a nonlinear constraint optimization (NLCO) problem. The optimal PID controller parameters are obtained from solving the NLCO problem. The design method is applied to devise the multi-loop optimal PID controller for different types of MIMO plants and the optimal PID controller under different control weight is shown in this paper. The performances of different PID tuning methods are studied too. The computer simulation results are presented to demonstrate the effectiveness of the design method and good performance and robustness of the optimal multi-loop PID controllers.

scholarly journals Experimental Assimilation of Various Tuning Rules with Fractional Order Controller in Inverted Pendulum

2019 ◽  
Vol 8 (6S2) ◽  
pp. 753-757
Keyword(s):  
Fractional Order ◽  
Pid Control ◽  
Pid Controller ◽  
Inverted Pendulum ◽  
Control Parameters ◽  
Controller Tuning ◽  
Tuning Methods ◽  
Fractional Order Controller ◽  
Two Parameters ◽  
Tuning Rules

Modified pendulum is a commonplace trial territory for the investigation of control hypotheses. The adjusting of a reversed pendulum by moving a truck along a flat track is a commonplace issue in the zone of control. So as to improve the capacity of PID controller reacting for the heap unsettling influence, controller tuning guidelines assume fundamental job. This work engaged with enhancement of the PID control parameters for controlling the pendulum in upstanding position particularly with the best heartiness and contrasting it tentatively and ideal settings of a fragmentary PIλDμ controller which can satisfy five distinctive plan details for the shut circle framework, exploiting the fragmentary requests, λ and μ. Since these partial controllers have two parameters more than the customary PID controller improves the presentation of the framework. The pendulum has been adjusted in the upstanding position utilizing the two techniques and the exploratory outcomes are analyzed and announced. The recreation just as exploratory aftereffects of ordinary PID controller demonstrate that the arrangement of new and tuned controller parameters are furnishing the outcomes with better shut circle execution thought about than other tuning methods. And furthermore the control ability and the framework execution furnished by fragmentary request PID controller with the determined new arrangement of parameters has been tentatively demonstrated that the partial request PID controller gives controller execution relatively superior to the customary one along these lines it isn't just controlling the ongoing framework with better adjustment and following control yet additionally have heartiness to aggravations

Design and Application of Self-Tuning PI Controller

2010 ◽  
Vol 43 ◽  
pp. 160-164 ◽  
Author(s):  
Xiao Hong Kong ◽  
Bao Jian Zhang ◽  
Xin Hua Mao ◽  
Yan Feng Chen ◽  
Chang Yuan Song
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Permanent Magnet Synchronous Motor ◽  
Pi Controller ◽  
Compound Control ◽  
Self Tuning ◽  
Fuzzy Pi Controller ◽  
Overall Performance ◽  
Application Fields

The permanent magnet synchronous motor (PMSM) is popularly used in many application fields for such advantages as having the speed-torque characteristics similar to that of a DC motor. Nevertheless, the overall performance of the PMSM is largely dependent on that of the control system. The classical PID controller, which has acquired wide applications in many fields, is only suitable for the design of the linear system and cannot meet the requirements of the nonlinear system like the PMSM. In this paper, a compound control system combining the classical PID control and the fuzzy control is presented to meet the requirements of control system. Simulation results show that the fuzzy PI controller has better performance than that of the classical PI controller.

Modeling and PID Control of Single Switch Bridgeless SEPIC PFC Converter

2014 ◽  
Vol 573 ◽  
pp. 161-166 ◽  
Author(s):  
S. Veenalakshmi ◽  
P. Nedumal Pugazhenthi ◽  
S. Selvaperumal
Keyword(s):  
Transfer Function ◽  
Pid Control ◽  
Pid Controller ◽  
Output Voltage ◽  
Input Voltage ◽  
Small Signal ◽  
Complete Model ◽  
Tuning Methods ◽  
Fifth Order ◽  
Signal Dynamic

This paper proposes the modeling of Single Ended Primary Inductor Converter (SEPIC) for Power Factor Correction (PFC) and PID control for the converter using various tuning methods. The SEPIC is capable of operating from an input voltage that is greater or less than the regulated output voltage. A small signal dynamic model for SEPIC PFC converter is obtained using state space averaging technique which provides a fifth order transfer function. The complete model of the converter is simulated using MATLAB (SIMULINK). Then the PID controller is designed for the SEPIC PFC converter and various tuning methods were adopted using SISO tool in MATLAB.

scholarly journals Design of a model reference adaptive PID control algorithm for a tank system

2021 ◽  
Vol 11 (1) ◽  
pp. 300
Author(s):  
Yohan Darcy Mfoumboulou
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Closed Loop ◽  
Reference Model ◽  
Pi Controller ◽  
Loop System ◽  
Closed Loop System ◽  
Model Reference ◽  
Adaptive Pid Control ◽  
Model Reference Adaptive

This paper describes the design of an adaptive controller based on model reference adaptive PID control (MRAPIDC) to stabilize a two-tank process when large variations of parameters and external disturbances affect the closed-loop system. To achieve that, an innovative structure of the adaptive PID controller is defined, an additional PI is designed to make sure that the reference model produces stable output signals and three adaptive gains are included to guarantee stability and robustness of the closed-loop system. Then, the performance of the model reference adaptive PID controller on the behaviour of the closed-loop system is compared to a PI controller designed on MATLAB when both closed-loop systems are under various conditions. The results demonstrate that the MRAPIDC performs significantly better than the conventional PI controller.

scholarly journals Design and Implementation of Cascade LQR Controller for Stabilization of Two-Wheeled Robot

2016 ◽  
Vol 14 (1) ◽  
pp. 35-47
Author(s):  
Ts. Slavov ◽  
J. Kralev ◽  
P. Petkov
Keyword(s):  
System Performance ◽  
Pid Controller ◽  
Digital Signal ◽  
Vertical Axis ◽  
Pi Controller ◽  
Upright Position ◽  
Pid Controllers ◽  
Design And Implementation ◽  
Wheeled Robot ◽  
Lqr Controller

Abstract In this paper the developed two-wheeled robot and cascade LQR controller, Kalman filters, PI and PID controllers are presented. The cascade LQR controller stabilizes the two-wheeled robot in upright position. The PID controller ensures good tracking of wheel position reference and the PI controller steers two-wheeled robot rotation around the vertical axis. A software in MATLAB®/Simulink environment intended for design and generation of control code which is embedded in a Texas Instruments Digital Signal Controller is developed. Simulation and experimental results of system performance are given that confirm the efficiency of the control system developed.

Water Temperature Control Using PID Control System Based on LabVIEW

2016 ◽  
Vol 4 (2) ◽  
pp. 35-46
Author(s):  
Ari Ramadhani
Keyword(s):  
Water Temperature ◽  
Pid Control ◽  
Temperature Sensor ◽  
Pid Controller ◽  
Current Flow ◽  
Electrical Energy ◽  
Heating Process ◽  
Water Heater ◽  
Digital Thermometer ◽  
Flow Through

Abstract - Automatic system have grown widespread across all sector so do water heater. Traditionally, heating water is done by utilizing fire as heat source. As the growing of technology, the heating process could be done by manipulating electrical energy by convert it to heat. Electrical energy is flown to a metal rod that contact directly with the water which increase the water temperature. On some case, appropiate water temperature is needed. Altough, a thermometer is needed to read the actual temperature as a feedback value for the system and a system that can control the electricity current flow through the heater that the heat produced is linear to the current flow. With implementing microcontroller as a process node for generating PWM signal, this problem can be solved. Also, Labview is needed as an interface for monitoring and bursting an output which have been processed by Proportional, Integral, and Devivative (PID) controller to producing accurate and stable heat. Based on the results of testing, the system is able to provide a rapid response to any changes that occur, both changes in set-point and changes in water temperature (actual value). Another test is done by comparing the temperature value detected by the temperature sensor in this device with an external digital thermometer placed in the same place, and from some of the tests the temperature value detected by the temperature sensor in this device has a difference of ± 0.19 ℃ with a digital thermometer. Keyword : Water Heater, Thermometer, Microcontroller, LabView, PID.

Straight-Move Robot Control System with LabView-Based Proportional Integral Derivative (PID) Control

2019 ◽  
Vol 3 (2) ◽  
pp. 13-24
Author(s):  
Andrean George W
Keyword(s):  
Pid Control ◽  
Rotational Speed ◽  
Pid Controller ◽  
Dc Motor ◽  
Motor Speed ◽  
Labview Software ◽  
Dc Motors ◽  
Dc Motor Control ◽  
Process System ◽  
Interface Devices

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.

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