scholarly journals PID Control Theory

10.5772/34364 ◽  
2012 ◽  
Author(s):  
Kambiz Arab ◽  
Augustin Mp
Keyword(s):  
Control Theory ◽  
Pid Control

Research on Fuzzy Pid Control System of Temperatuer for Tertiary Air

2013 ◽  
Vol 341-342 ◽  
pp. 892-895
Author(s):  
Jun Chao Zhang ◽  
Shao Hong Jing
Keyword(s):  
Control System ◽  
Control Theory ◽  
Pid Control ◽  
Pid Controller ◽  
Dynamic Performance ◽  
Effective Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Self Tuning

The introduction of the AQC boiler has complex effects on the temperature of Tertiary air, traditional PID is difficult to achieve the effective control. Combined the method of the conventional PID with the fuzzy control theory, a fuzzy self-tuning PID controller is designed. Compared with traditional PID, results of simulation show that the fuzzy PID controller improves not only the adaptability and robustness of the system, but also the system's static and dynamic performance.

scholarly journals Research on temperature control of heating furnace with intelligent proportional integral derivate control algorithm

2020 ◽  
Vol 24 (5 Part B) ◽  
pp. 3069-3077
Author(s):  
Feilong Zheng ◽  
Yundan Lu ◽  
Shuguang Fu
Keyword(s):  
Neural Network ◽  
Control Theory ◽  
Temperature Control ◽  
Intelligent Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Network Control ◽  
Furnace Temperature ◽  
Proportional Integral ◽  
Intelligent Pid

In view of the problems of large overshoot and large oscillation frequency in cur?rent furnace temperature control, based on the development of intelligent control theory, expert control, fuzzy control, and neural network control in intelligent control theory are combined with proportional integral derivative (PID) control. The intelligent PID control algorithm is used to carry out numerical simulation and experimental research on these several control algorithms. The results show that the adjustment effect of the intelligent PID control algorithm is significantly better than the traditional PID control algorithm. Among them, the fuzzy self-tuning PID control algorithm and the fuzzy immune PID control algorithm are feasible in the application of furnace temperature control. The neural network PID control algorithm It also has good development and application potential.

scholarly journals A Study on the Dynamic Positioning Control Algorithm Using Fuzzy Gain Scheduling PID Control Theory

2017 ◽  
Vol 54 (2) ◽  
pp. 102-112 ◽  
Author(s):  
Ma-Ro Jeon ◽  
Hee-Su Kim ◽  
Jae-Hak Kim ◽  
Su-Jeong Kim ◽  
Soon-Seok Song ◽  
...  
Keyword(s):  
Control Theory ◽  
Pid Control ◽  
Control Algorithm ◽  
Gain Scheduling ◽  
Dynamic Positioning ◽  
Positioning Control

scholarly journals Fuzzy Control System and Its Application

1989 ◽  
Vol 1 (3) ◽  
pp. 227-232
Author(s):  
Akihiro Sakaguchi ◽  
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Control Theory ◽  
Pid Control ◽  
Fuzzy Control System

There are many processes which have been automatically controlled by PID control or by the present control theory, but there are still many which are dependent on an operator's manipulations for control. Skilled operators, by their perceptions or experiences, can exercise controls even of such processes which have peculiar characteristics and for which it is difficult to provide automatic controls. The fuzzy control system was created to allow computers to apply the same controls as skilled operators do, by taking the operator's techniques into the computer. We shall describe below an outline of fuzzy control and the fuzzy control system we have developed.

scholarly journals Application of a New Membership Function in Nonlinear Fuzzy PID Controllers with Variable Gains

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Xuda Zhang ◽  
Hong Bao ◽  
Jingli Du ◽  
Congsi Wang
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Membership Function ◽  
Pid Control ◽  
Control Algorithm ◽  
Pid Controllers ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adjustable Range

This paper proposes a nonlinear fuzzy PID control algorithm, whose membership function (MF) is adjustable, is universal, and has a wide adjustable range. Appling this function to fuzzy control theory will increase system’s tunability. The continuity of this function is proved. This method was employed in the simulation and HIL experiments. Effectiveness and feasibility of this function are demonstrated in the results.

Predictive fuzzy PID control: theory, design and simulation

2001 ◽  
Vol 137 (1-4) ◽  
pp. 157-187 ◽  
Author(s):  
Jialiang Lu ◽  
Guanrong Chen ◽  
Hao Ying
Keyword(s):  
Control Theory ◽  
Pid Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control

scholarly journals Extension of a PID control theory to Lie groups applied to synchronising satellites and drones

2020 ◽  
Vol 14 (17) ◽  
pp. 2628-2642
Author(s):  
Simone Fiori ◽  
Italo Cervigni ◽  
Mattia Ippoliti ◽  
Claudio Menotta
Keyword(s):  
Control Theory ◽  
Lie Groups ◽  
Pid Control
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