scholarly journals Analysis and Simulation of PI and PID Control Systems Using Xcos Scilab

2020 ◽  
Vol 2 (2) ◽  
pp. 108-116
Author(s):  
Edi Kurniawan
Keyword(s):  
Control System ◽  
Control Systems ◽  
Pid Control ◽  
System Simulation ◽  
Tuning Method ◽  
System Output ◽  
Trial And Error Method ◽  
Response Method ◽  
Motor Model ◽  
Error Method

Research has been conducted to analysis and simulation of PI and PID control systems using Xcos-Scilab. It focused on the constant value of kp, ki, and kd in the P, PI and PID control system simulation. The system output was set into a step signal so it will be analyzed with transient response method. For comparison, the PID control system with the Ziegler-Nichols tuning method was also used. It has been done in order to find out whether the Trial and error method is more appropriate to use in the in the PID control system simulation  or  not.  The  plant  used  is  the  Servo  Motor  Model  with  transfer  function  . The results from the analysis of the variation of simulated control system constants, the best parameters are: P (P variation): Kp = 7, PI (P Variation): Kp = 8; Ki = 2, PI (I Variation): Kp = 5; Ki = 5, PID (P Variation): Kp = 60; Ki = 5; Kd = 2, PID (I Variation): Kp = 50; Ki = 1; Kd = 5, PID (D Variation): Kp = 50; Ki = 10; Kd = 2.

scholarly journals Analisis Respon Sistem Kendali LQR (Linear Quadratic Regulator) Pada Simulasi Gimbal Kamera Dua Sumbu

2019 ◽  
Vol 2 (1) ◽  
pp. 49-55
Author(s):  
Qalisha Putri Syahna ◽  
Elvan Yuniarti ◽  
Edi Kurniawan
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pitch Angle ◽  
Linear Quadratic Regulator ◽  
Q Value ◽  
Linear Quadratic ◽  
Tuning Method ◽  
Lqr Control ◽  
System Output ◽  
Response Method

Research has been conducted to analyzed the responses of the two axis camera gimbal control system for pitch and roll direction using the Linear Quadratic Regulator (LQR) control system. It focused on the effect from the value of gain Q in calculation of the LQR. The system output was plotted into a step signal so it will be analyzed with transient response method and plotted into sinusoidal signals to find the amplitude value along with the amplitude time. For comparison, the PID control system with the auto-tuning method was also used in this study. It has been done in order to find out whether the LQR control system is more appropriate to use in the two axis camera gimbal system or not. The result from the analysis of the variation of the Q value given at both angles is that the system runs stable when the value of P= 4 for roll angle and P= 6 for pitch angle. For the effect from value of gain Q on the whole system is it will make the output significally changed when the P=1-10. While the results of the comparison can prove that the LQR control system has a better system responses.

scholarly journals Wall Following Control System with PID Control and Ultrasonic Sensor for KRAI 2018 Robot

2021 ◽  
Vol 1 (1) ◽  
pp. 1-14
Author(s):  
Muhamad Hamam Iqbal ◽  
Wahyu Sapto Aji
Keyword(s):  
Control System ◽  
Measurement Error ◽  
Pid Control ◽  
Ultrasonic Sensor ◽  
Average Error ◽  
Trial And Error ◽  
Set Point ◽  
Trial And Error Method ◽  
Error Method ◽  
Wall Following

Indonesian Abu Robot Contest (KRAI) in 2018 with the theme "Throwing a Blessing Ball". The main purpose of this robot is to be able to navigate automatically in an area that is bordered by walls to complete the mission. The main problem with the robot is the navigation system. The application of PID control in the wall following system has been able to make robot movements smooth, responsive, and fast. In this study, PID control aims to smooth the movement of the robot while walking along the wall in the race arena. The PID parameter is obtained from the results of tuning with the trial and error method, the values of KP = 3, KI = 0, and KD = 5. At the PWM 150 set point the value of the ultrasonic sensor distance reading to the object in the form of a wall with an average error of 4.4. cm. At the PWM 200 set point the value of the ultrasonic sensor distance reading to the object in the form of a wall with an average error of 0.4 cm. At the PWM 250 set point the value of the ultrasonic sensor distance reading to the object in the form of a wall with an average error of 0.8 cm. This error does not have an effect on the performance of the wall following system, because the system only uses the distance value reading data with a decimal value in front of the comma. So it can be concluded that the wall following system which is designed using ultrasonic sensors with measurement error that occurs is zero.

scholarly journals Effect of Closed and Opened the Door to Temperature on PID-Based Baby Incubator with Kangaroo Mode

2021 ◽  
Vol 3 (3) ◽  
pp. 121-127
Author(s):  
Vanda Catur Kirana ◽  
Dwi Herry Andayani ◽  
Andjar Pudji ◽  
Aziza Hannouch
Keyword(s):  
Heat Transfer ◽  
Control System ◽  
Skin Temperature ◽  
Pid Control ◽  
Room Temperature ◽  
Air Distribution ◽  
Average Error ◽  
Trial And Error ◽  
Trial And Error Method ◽  
Error Method

The uneven distribution of the baby incubator temperature can cause the temperature in the baby incubator to be different at each point. The purpose of this study was to analyze the effect of the door closed and opened to the temperature at each point of sensor placement that has been determined. The study was conducted as an experimental research design. In this experiment, an Incu Analyzer comparison was used as a calibrator unit, a baby skin temperature thermistor sensor, and four LM35 sensors for baby incubator room temperature with one LM35 sensor as a PID control system carried out by trial-and-error method. Based on the results of measurements was made with the design, when the chamber is open, it produces an average error value of T1 4.083%, T2 6.06%, T3 3.78%, T4 4.88%, and T5 1.48%, while when the chamber is closed, it produces an average error value T1 0.75. %, T2 0.88%, T3 1.15%, T4 0.74%, and T5 0.87%. Measurement of skin temperature using a thermometer has an average error value of 1.1%. The results showed that uneven heat transfer, lack of air distribution, different sensor placements at each point, and non-standard chamber sizes were factors that were uneven at each point. Based on the results of the study, it was found that the use of a working system on this device can be implemented to control the temperature of the baby incubator by knowing the temperature distribution at each point

scholarly journals Rancang Bangun Quadrotor Dengan Kendali Robust Pid Untuk Pemetaan Sawah Pra Panen

2018 ◽  
Vol 2 (1) ◽  
pp. 112
Author(s):  
Rendra Dwi Firmansyah ◽  
Budi Sumanto ◽  
Rella Mareta
Keyword(s):  
Control System ◽  
Control Systems ◽  
Pid Control ◽  
Absolute Error ◽  
Unmanned Aircraft ◽  
Fine Tuning ◽  
Aerial Photographs ◽  
Field Mapping ◽  
Tuning Method ◽  
Aerial Vehicle

Field mapping is important to know the potential of agricultural productivity in a region.Furthermore, field mapping can also be used to predict crops in a region. The mapping can be donethrough aerial photographs. Aerial photographs can be performed using manned aerial vehicle aswell as unmanned aerial vehicle. Currently, many aerial photographs are taken using unmannedaerial vehicle because the cost is much more affordable than using a manned aerial vehicle. One typeof unmanned aircraft used for aerial photographs is quadcopter. However taking aerial photographsusing a quadcopter often produces blurry images due to its instability. Instability of the quadcopter iscaused by several factors including sensor readings such as IMU, GPS, compass, and barometer,disturbance factors such as angina, and control systems that are less robust to quadcopter characters.To get a stable quadcopter, a control system that matches the quadcopter character and has aresistance to interference is needed. One of the control systems that can be applied to the quadcopteris the Robust PID control system. Reliability of the control system can be seen using ITAE (IntegralTime Absolute Error). The smaller the value of ITAE the better the control system. Some tuningmethods are done to get the Robust PID control system. The method used in this research is ZieglerNicols, fine tuned PID controller, and ITAE tuning method. The result of PID constant tuning is thenimplemented to quadcopter. In this study the response data was obtained by using IMU sensor. Theresult shows that of the three tuning methods implemented in the quadcopter, the Fine tuning methodgives better results than the others.

scholarly journals Software and hardware solution for digital signal processing algorithms testing

2019 ◽  
Vol 124 ◽  
pp. 03006
Author(s):  
M. V. Talanov ◽  
V. M. Talanov
Keyword(s):  
Signal Processing ◽  
Control System ◽  
Digital Signal Processing ◽  
Control Systems ◽  
System Simulation ◽  
Digital Signal ◽  
Drive Control ◽  
Signal Processing Algorithms ◽  
Software And Hardware ◽  
Processing Algorithms

The article describes the microprocessor system for various digital signal processing algorithms testing. The development of electric drive control systems is carried out with the usage of modeling systems such as, MATLAB/Simulink. Modern digital control systems are based on specialized digital signal microcontrollers. The present market offers evaluation boards, for example STM32F4DISCOVERY, which enables to connect a microcontroller to a personal computer. It makes possible to use the microcontroller as a part of the mathematical model of the control system. However, the designing of the control system simulation model and the program for the microprocessor is carried out in different programming environments. Thus, the software and hardware solution for testing programs for the microprocessor, which is a part of the control system, is relevant. This article deals with the designing of the modeling method in which the prototype program for the microprocessor is debugged as a part of the electric drive control system simulation model.

Two Degree of Freedom Model Driven PID Control for Unstable Process with Time Delays

2013 ◽  
Vol 339 ◽  
pp. 45-49
Author(s):  
Li Xiang Zhang
Keyword(s):  
Control System ◽  
Control Systems ◽  
Pid Control ◽  
Time Delays ◽  
Degree Of Freedom ◽  
Control Technology ◽  
Model Driven ◽  
Unstable Process ◽  
Unstable Processes ◽  
Two Degree Of Freedom

PID control systems are the most commonly used control technology in industries. However, there are issues on control performances for the unstable process with time delays. In order to improve the control performances of PID control systems, a new two degree of freedom model driven PID control system is introduced in this paper and it is used to the unstable processes with time delay. The model driven PID control is capable of stabilizing with unstable processes by using PD feedback, regulating quickly for disturbance and tracking quickly to the change of set point. With case studies comparing with conventional PID control systems was done.

scholarly journals SISTEM KENDALI PROPORSIONAL, INTEGRAL, DAN DERIVATIF (PID) PADA PERSAMAAN PANAS

2016 ◽  
Vol 16 (2) ◽  
pp. 10-15
Author(s):  
Muhammad Ikhwan ◽  
Said Munzir ◽  
Nurmaulidar Nurmaulidar
Keyword(s):  
Control System ◽  
Heat Source ◽  
Pid Control ◽  
Heat Equations ◽  
Laplace Domain ◽  
Reaction Method ◽  
Stable Position ◽  
Proportional Integral ◽  
Tuning Method

This research showed the application of Proportional, Integral, and Derivative (PID) control system on heat equations that has non-integer ordered solutions on Laplace domain. Zala tuning method and Ziegler-Nichols method; which is ultimate cycle and process reaction method, are used to determine the value of Kp, Ti and Td as constants in PID to maintain the temperature of 1oC on the position of x = 3 m from the heat source with k = 0,042 m2s-1 diffusivity. Based on the results, there were ten systems that were closest in the desired criteria. With regards to overshoot and the time taken to reach the stable position, therefore the ten systems that are produced have not many differences in strengths and weaknesses. 

scholarly journals Analisis Penerapan Kendali Otomatis berbasis PID terhadap pH Larutan

2020 ◽  
Vol 8 (1) ◽  
pp. 163
Author(s):  
FEBRIAN HADIATNA ◽  
ALFI DZULFAHMI ◽  
DECY NATALIANA
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Ph Value ◽  
Pi Controller ◽  
Test Results ◽  
Control Test ◽  
Trial And Error ◽  
Trial And Error Method ◽  
Nutrient Solutions ◽  
Error Method

ABSTRAK Nilai pH pada larutan nutrisi tanaman hidroponik merupakan salah satu parameter penting agar tumbuhan berkembang dengan baik. Salah satu metode pengendali otomatis adalah menggunakan pengendali PID. Penelitian ini bertujuan untuk menganalisis penerapan sistem pengendali pH larutan nutrisi menggunakan PID. Proses pengendalian diatur oleh larutan pH up dan larutan pH down. Pengujian pengendali PID terdiri dari pengujian pengendali Propotional (P), pengendali Propotional-Inrtegral (PI), dan Propotional-Integral-Derivative (PID). Hasil pengujian dengan menggunakan metode tunning trial and error diperoleh hasil pengendali Propotional menghasilkan respon lebih baik dengan nilai Kp=1, hasil yang didapat sistem tidak mengalami overshoot/undershoot dengan waktu yang dibutuhkan mencapai titik kesetimbangan di setpoint yaitu 126 detik. Agar sistem terjaga dinilai setpointnya sistem pengendali akan bereaksi terhadap perubahan error, sehingga memerlukan lebih banyak larutan pH up dan pH down. Kata kunci : Hidroponik, pH, Arduino, kendali PID. ABSTRACT The pH value of hydroponic-plants nutrient solution is one of the important parameters for plants to grow up well. This study aims to analyze the application of a system to control the pH of nutrient solutions using PID which is controlled by a pH up solution and a pH down solution. PID controller testing consists of Propotional (P) control test, Propotional-Inrtegral (PI) controller, and Propotional-Integral-Derivative (PID) controller. The test results obtained using the tunning trial and error method obtained a Propotional controller result have a better response with the value Kp=1, the system does not overshoot / undershoot. the time needed to reach a stable value at setpoint is 126 seconds. so that the system is maintained at its set point the control system will react to error changes, that is why it requires more pH up liquid and the pH liquid down. Keywords : Hydroponic, pH, Arduino, PID controller.

scholarly journals HEADING CONTROL OF AUTOMATED GUIDED VEHICLES

2021 ◽  
Vol 6 (3) ◽  
Author(s):  
Abhishek Bhardwaj ◽  
Kshitij Anand ◽  
Murtaza Khasamwala
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Control Systems ◽  
Pid Control ◽  
Control Strategies ◽  
Optimal Path ◽  
Automated Guided Vehicles ◽  
Holistic View ◽  
Heading Control ◽  
Automation Control

With rapid developments in industry wide automation control systems, there have been numerous proposed design and control strategies as alternatives to conventional methods. This term paper deals with the same in the context of Automated Guided Vehicles (AGV’s) with a review of the current literature for proposed design improvements as well as trajectory control systems that can improve productivity and reduce conflicts compared to current methods. The results of these proposed methods are also compared in contrast to each other to obtain holistic view of the merits and demerits of the same. It is found that a fuzzy logic based PID control is a definite upgrade over conventional PID control systems and that the application of LIDAR and Camera based technologies can help enable free roaming AGV’s lending to increased robustness and flexibility. For a control system consisting of a single AGV and multiple processing stations, a genetic algorithm enhanced centralized fuzzy logic control system is the most optimal path planning algorithm whereas in the cases of multiple robots, a dynamic priority allocated free roaming AGVsystem with semi-decentralized control is found to be much more efficient at simultaneously solving paths and reducingconflicts with other robots in real time compared to the purely centralized systems.

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