Improved parameters tuning method of model-driven PID control systems

2011 ◽  
Author(s):  
Y. M. Zhao ◽  
W. F. Xie ◽  
X. W. Tu
Keyword(s):  
Control Systems ◽  
Pid Control ◽  
Model Driven ◽  
Tuning Method ◽  
Parameters Tuning

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 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 Advanced Fireworks Algorithm and Its Application Research in PID Parameters Tuning

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Jun-jie Xue ◽  
Ying Wang ◽  
Hao Li ◽  
Xiang-fei Meng ◽  
Ji-yang Xiao
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Transfer Functions ◽  
Gaussian Function ◽  
Optimization Method ◽  
Pid Controllers ◽  
Fireworks Algorithm ◽  
Extremal Optimization ◽  
Tuning Method ◽  
Parameters Tuning

Proportional-Integral-Derivative (PID) controller is one of the most widely used controllers for its property of simplicity and practicability. In order to design high-quality performances PID controllers, an Advanced Fireworks (AFW) algorithm based on self-adaption principle and bimodal Gaussian function is proposed, which is built to optimize the PID controller by parameters tuning. Firstly, a compound index of optimization performance is formulated, and then the extremal optimization method of PID control system is proposed. Secondly, a PID parameters tuning model combined with AFW is built. At last, 5 typical transfer functions are simulated to obtain optimal parameters by AFW and contrast tuning method, such as Ziegler-Nichols method, Enhanced Fireworks (EFW) algorithm, and Particle Swarm Optimization (PSO). Simulation results show that AFW are effective and are easily implemented methods to solve PID control problems of different transfer functions.

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.

Research on Adaptive PID Control for Load Simulator with Varying Load

2014 ◽  
Vol 568-570 ◽  
pp. 1031-1035
Author(s):  
Ju Tian ◽  
Yao Chen
Keyword(s):  
Pid Control ◽  
Simple Structure ◽  
Control Method ◽  
Parameter Tuning ◽  
Hardware In The Loop ◽  
Tuning Method ◽  
Hydraulic Load ◽  
Variation Characteristics ◽  
Load Simulator ◽  
Adaptive Pid Control

The electro-hydraulic load simulator is an important equipment for aircraft hardware-in-the-loop simulation. An adaptive PID control method for compensating extraneous torque with simple structure and easy to implement is proposed according to the variation characteristics of load gradient in the load simulator. The control parameter tuning method is also given.

Sign in / Sign up

Export Citation Format

Share Document