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. 

Performance-Adaptive Generalized Predictive Control-Based Proportional-Integral-Derivative Control System and Its Application

2014 ◽  
Vol 136 (6) ◽  
Author(s):  
Takao Sato ◽  
Toru Yamamoto ◽  
Nozomu Araki ◽  
Yasuo Konishi
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Pid Control ◽  
Design Method ◽  
Design Parameters ◽  
Generalized Predictive Control ◽  
Control Performance ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Proportional Integral Derivative Control

In the present paper, we discuss a new design method for a proportional-integral-derivative (PID) control system using a model predictive approach. The PID compensator is designed based on generalized predictive control (GPC). The PID parameters are adaptively updated such that the control performance is improved because the design parameters of GPC are selected automatically in order to attain a user-specified control performance. In the proposed scheme, the estimated plant parameters are updated only when the prediction error increases. Therefore, the control system is not updated frequently. The control system is updated only when the control performance is sufficiently improved. The effectiveness of the proposed method is demonstrated numerically. Finally, the proposed method is applied to a weigh feeder, and experimental results are presented.

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 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 Nonlinear Contour Tracking of a Voice Coil Motors-Driven Dual-Axis Positioning Stage Using Fuzzy Fractional PID Control with Variable Orders

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Syuan-Yi Chen ◽  
Meng-Chen Yang
Keyword(s):  
Control System ◽  
Pid Control ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Variable Order ◽  
Contour Tracking ◽  
Control Parameters ◽  
Additional Degree ◽  
Proportional Integral ◽  
Positioning Stage

This study aims to develop a variable-order fuzzy fractional proportional-integral-differential (VOFFPID) control system for controlling the mover position of a newly designed voice coil motors- (VCMs-) driven dual-axis positioning stage. First, the operation principle and dynamics of the stage are analyzed. After that, the design of a fuzzy fractional proportional-integral-differential (FFPID) control system is introduced on the basis of a fractional calculus and fuzzy logic system. With an additional degree of freedom to the control parameters and fuzzy operation, the FFPID control system can upgrade the contour tracking performance of a conventional proportional-integral-differential (PID) control system with respect to the specified dynamics of the stage. Moreover, the VOFFPID control system is designed to further improve the tracking responses of the FFPID control system. In this system, the five control parameters are optimized with the cuckoo search algorithm via an adaptive strategy. Lastly, nominal and payload conditions attributed to two nonlinear contour demands are provided to evaluate the contouring performance of the PID, FFPID, and VOFFPID control systems. The experimental results subjected to different performance measures demonstrate that the proposed VOFFPID controller outperforms PID and FFPID controllers in terms of the designed VCMs-driven dual-axis positioning stage under both conditions.

GUI Based Control System Analysis using PID Controller for Education

2016 ◽  
Vol 3 (1) ◽  
pp. 91 ◽  
Author(s):  
Ashwaq Abdulameer ◽  
Marizan Sulaiman ◽  
M.S.M. Aras ◽  
Dawood Saleem
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Engineering Students ◽  
System Analysis ◽  
Tuning Method ◽  
Pid Tuning ◽  
Z Domain ◽  
Teaching Learning ◽  
Control Application

PID control strategy should be understood as a huge part in the education oriented on process control. Application of suitable GUI windows software can contribute in the increase of education quality and providing a better understanding of PID control through as it provides a user friendly environment which is suitable and comfortable for teaching, learning and training application. This paper present the PID control system analysis by explaining the PID controller three-term parameters, PID control types and structure, and PID tuning approach using Ziegler-Nichols and manual tuning method (in both s-domain and z-domain) with the help of simulation and Graphical User Interface GUI windows based on MATLAB. This software package is targeted for engineering students and practicing engineers.

scholarly journals Simulation of the Diesel Engine Rotational Speed Automatic Control System

2019 ◽  
pp. 35-46
Author(s):  
V.A. Markov ◽  
E.F. Pozdnyakov ◽  
V.V. Furman ◽  
S.V. Plakhov
Keyword(s):  
Control System ◽  
Diesel Engine ◽  
Automatic Control ◽  
Automatic Control System ◽  
Pid Control ◽  
Rotational Speed ◽  
Internal Combustion Engines ◽  
Transient Processes ◽  
Diesel Generator ◽  
Proportional Integral

In this work, the problem of improving the quality of controlling the diesel engine crankshaft speed is considered. The principles that govern the control of this parameter in internal combustion engines are described. The advantages of the proportional-integral-differential (PID) control principle are shown. Calculations of the influence of the PID controller structure on the dynamic characteristics of the diesel engine rotational speed automatic control system are performed. The transient processes of acceleration–inhibition and load-dropping are investigated using a KamAZ-740 engine of a 100 kW diesel generator. Transient processes are achieved for different values of the proportional, integral and differential components of the PID control law. The influence of these coefficients on the quality indicators of the regulatory process such as the duration of the transient process and overshoot is evaluated.

Velocity and Acceleration Estimation by a Nonlinear Filter Based on Sliding Mode and Application to Control System

2009 ◽  
Vol 21 (5) ◽  
pp. 590-596 ◽  
Author(s):  
Takanori Emaru ◽  
◽  
Kazuo Imagawa ◽  
Yohei Hoshino ◽  
Yukinori Kobayashi
Keyword(s):  
Control System ◽  
Pid Control ◽  
Sliding Mode ◽  
Mechanical Systems ◽  
Nonlinear Filter ◽  
Proportional Integral Derivative ◽  
Modeling Error ◽  
Proportional Integral ◽  
Performance Accuracy ◽  
Modeling Errors

Proportional-integral-derivative (PID) control commonly used to operate mechanical systems has limited performance accuracy due to the influence of gravity, friction, and joint interaction caused by modeling error. Digital acceleration control is robust against modeling errors and superior to PID control, but the need for positioning, velocity, and acceleration knowledge constrains the development of digital acceleration control. To overcome this limitation, this report introduces the system which estimates the smoothed and differential values using sliding mode system (ESDS). Using ESDS enables digital acceleration control without increasing the number of sensors over that used in PID control. This paper focuses on the influence of gravity because digital acceleration control can, in principle, cancel its influence. This controls mechanical systems appropriately under attitude variations. Results of proposed control are demonstrated using 1- and 2-link manipulators.

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