Autocontrol of Water Condenser Based on PID Controller

2011 ◽  
Vol 225-226 ◽  
pp. 186-189
Author(s):  
Xing Hua Yang ◽  
Ting Rui Liu ◽  
Ai Qin Sun
Keyword(s):  
Temperature Control ◽  
Pid Control ◽  
Pid Controller ◽  
Controller Design ◽  
Control Function ◽  
Control Process ◽  
Step Response ◽  
Outlet Temperature ◽  
Pid Controller Design ◽  
The Heat Balance

To maintain the outlet temperature at the desired set-point, a high-order outlet temperature control model is established for a water condenser, and different PID controller design methods are applied to its temperature control process. The control function model is based on the analysis of the heat balance equation and the heat transfer rate equation. The design process of three different PID control methods, including Ziegler-Nichols Method, Modified Ziegler–Nichols Formula and the Optimum PID Controller, together with the unit step response consequence are provided and compared, and the numerical simulation results show that the Optimum PID Controller has a favorable control performance.

scholarly journals An Optimal Fuzzy PID Controller Design Based on Conventional PID Control and Nonlinear Factors

2019 ◽  
Vol 9 (6) ◽  
pp. 1224 ◽  
Author(s):  
Chun-Tang Chao ◽  
Nana Sutarna ◽  
Juing-Shian Chiou ◽  
Chi-Jo Wang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Controller Design ◽  
Pid Controllers ◽  
Initial Population ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Fuzzy Logic Controllers ◽  
Fuzzy Pid Controller ◽  
Pid Controller Design

This paper proposes an optimal fuzzy proportional–integral–derivative (PID) controller design based on conventional PID control and nonlinear factors. With the equivalence between fuzzy logic controllers (FLCs) and conventional PID controllers, a conventional PID controller design can be rapidly transformed into an equivalent FLC by defining the operating ranges of the input/output of the controller. The proposed nonlinear factors can further tune the nonlinearity of the membership functions (MFs) distributed in the operating ranges. In this manner, a fuzzy PID controller can be developed with less parameters and optimized by using the genetic algorithm (GA). In addition, the aforementioned equivalent FLC can act as one individual in the initial population of GA, and significantly enhances the GA efficiency. Simulation results demonstrate the feasibility of this technique. This resulted in an optimal fuzzy PID controller design with only eight parameters with a concise controller structure, and most importantly, the optimal fuzzy PID controller design is now more systematic.

Multiple Models Fuzzy PID Controller Design in Air-Condition Temperature Control System

2013 ◽  
Vol 860-863 ◽  
pp. 1616-1619
Author(s):  
Hang Jiang ◽  
Xin Wang ◽  
Yi Hui Zheng ◽  
Li Xue Li ◽  
Yan Liu
Keyword(s):  
Temperature Control ◽  
Pid Control ◽  
Pid Controller ◽  
Controller Design ◽  
Temperature Control System ◽  
Multiple Models ◽  
Multiple Model ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller

This paper deals with the study of air-condition temperature control, which is a complex system of time varying, nonlinear, imprecise model and uncertain work environment. In this paper, a multiple models fuzzy PID controller is designed. Considering the air-condition temperature adjustment system to combat aircraft and the frequently changing external environment the multiple fuzzy PID controllers are estimated according to the temperature changing area. Each time, based on temperature tested, only one fuzzy PID Controller is chosen to improve the control precision. At the end, simulation results show that multiple model fuzzy PID control is superior to the single fuzzy PID control, which effectively improve the transient response of the system, the steady state accuracy and robustness, having good prospects for engineering applications.

scholarly journals Optimal PID controller design using artificial bee colony algorithm for robot arm

2021 ◽  
Vol 21 (1) ◽  
pp. 84
Author(s):  
Ghassan A. Sultan ◽  
Muhammed K. Jarjes
Keyword(s):  
Pid Controller ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Controller Design ◽  
Dynamic Performance ◽  
Control Process ◽  
Robot Arm ◽  
Bee Colony ◽  
Pid Controller Design ◽  
Best Parameter

<p class="Default"><span>Proportional integral derivation (PID) controller is used in this paper for optimal design, and tuning by zeigler and nichol (ZN) with artificial bee colony algorithm. The best parameter were found using these algorithms for best performance of a robot arm. The advantage of using ABC were highlighted. The controller using the new algorithm was tested for valid control process. Different colony size has been performed for tuning process, settling time, from time domain performance, rise time, overshot, and steady state error with ABC tuning give better dynamic performance than controller using the (ZN).</span></p>

A Fuzzy PID Controller Design and Application

2014 ◽  
Vol 952 ◽  
pp. 279-282
Author(s):  
Hong Hua Xu ◽  
Li Li ◽  
Hong Yu Zhai
Keyword(s):  
Pid Control ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Control Process ◽  
Design Procedure ◽  
Reference Method ◽  
Fuzzy Pid ◽  
Loop Control ◽  
Pid Controller Design ◽  
Hydraulic Servo

Control system of microcomputer controlled electro-hydraulic servo rock three triaxial test instrument adopts closed loop control and the control strategy is based on PID control. Because the conventional PID control cannot meet the control accuracy and stability of system, the intelligent fuzzy controller is introduced to realize the automatic processing in control process. The fuzzy PID controller's design procedure is given to determine the fuzzy domain, fuzzy rules, calculating the reference method and defuzzification process of membership function.

CHAOS SYNCHRONIZATION VIA MULTIVARIABLE PID CONTROL

2007 ◽  
Vol 17 (05) ◽  
pp. 1753-1758 ◽  
Author(s):  
GUILIN WEN ◽  
QING-GUO WANG ◽  
CHONG LIN ◽  
GUANGYAO LI ◽  
XU HAN
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Controller Design ◽  
Linear Matrix ◽  
Lur’E System ◽  
Weighting Matrix ◽  
Descriptor Approach ◽  
Pid Controller Design ◽  
Lmi Technique ◽  
Static Output

Synchronization via multivariable PID control is studied. Based on the descriptor approach, the problem of PID controller design is transformed to that of static output feedback (SOF) controller design. The improvement of the solvability of the Linear Matrix Inequality (LMI) is achieved, in comparison with the existing literature on designing PID controller based on the LMI technique. With the aid of the free-weighting matrix approach and the S-procedure, the synchronization criterion for a general Lur'e system is established based on the LMI technique. The feasibility of the methodology is illustrated by the well-known Chua's circuit.

Sign in / Sign up

Export Citation Format

Share Document