Application of Compound PID Control in the DC Servo Motor

2009 ◽  
Vol 16-19 ◽  
pp. 145-149 ◽  
Author(s):  
Xiao Yan Song ◽  
Qing Jie Yang ◽  
Xue Ming Zhang ◽  
Qi Gao Feng
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Pid Controller ◽  
Design Method ◽  
Servo System ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Controller ◽  
Performance Requirements

Although the traditional PID controller is widely used in many fields, the system parameters varying and external disturbances existing in the DC servo system will cause large overshoot or poor stability. To improve the performance of the PID controller, a compound servo control system combining the conventional PID control and the fuzzy control is presented to meet the demand of a vehicular antenna servo system in this paper. Incorporating the fuzzy control and the conventional PID control, this paper presents a design method of the fuzzy PID controller that is based on the fuzzy tuning rules and formed by integrating two above control ideas. Simulation results are presented to show the efficiency of the proposed controller. The practical control effect shows that the control system that adopts the fuzzy PID controller has better performance than that of the traditional PID control system, and meets the performance requirements of the servo system.

Design of Fuzzy PID Controller for Water Level of Boiler Steam Drum Based on DSP

2011 ◽  
Vol 130-134 ◽  
pp. 3455-3458
Author(s):  
Yuan Fang Xin
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Water Level ◽  
Pid Controller ◽  
Good Control ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Controller ◽  
Steam Drum ◽  
Pid Arithmetic

A control system for water level of boiler steam drum based on DSP microprocessor is designed in this paper. The technique of fuzzy control was applied to controlling the water level of the steam drum, the operational principle and application of the fuzzy-PID arithmetic are described. The water level controller with good control effect is developed. Firstly the hardware structure of system is introduced in the paper and then investigates the fuzzy-PID arithmetic carry out, and finally, the simplified program flowchart are given.

A New Fuzzy PID Control System Based on Fuzzy PID Controller and Fuzzy Control Process

2020 ◽  
Vol 22 (7) ◽  
pp. 2163-2187
Author(s):  
Nguyen Dinh Phu ◽  
Nguyen Nhut Hung ◽  
Ali Ahmadian ◽  
Norazak Senu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Pid Controller ◽  
Control Process ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller

Design of Compound Fuzzy Controller for Multivariable Systems

2009 ◽  
Vol 16-19 ◽  
pp. 150-154 ◽  
Author(s):  
Xue Ming Zhang ◽  
Gui Xiang Zhang ◽  
Feng Shao ◽  
Qing Jie Yang
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Design Method ◽  
Design Procedure ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Tuning Rules

The PID controllers can be seen in lots of fields, but some complex control system cannot be controlled to achieve a desired performance index. A design method of the fuzzy PID controller that is based on the fuzzy tuning rules and formed by integrating two above control ideas is proposed in this paper. The design procedure about fuzzy PID control can be divided two steps: the first step is to build the fuzzy tuning rules by analysis, and to obtain the parameters of PID controller by reasoning, and then the control action can be determined by the PID control law. The simulation results and the practical control effects show that the compound fuzzy PID controller has better performance than that of the conventional PID control system and meet the practical demands.

Research on Application of Fuzzy PID Control in Linear Servo System

2013 ◽  
Vol 389 ◽  
pp. 556-562 ◽  
Author(s):  
Xiang Cheng Sun ◽  
Hai Chen Qin ◽  
Jian Kui Chen
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Servo System ◽  
Fuzzy Pid ◽  
Direct Drive ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Dynamic Tracking ◽  
Research On Application

Due to the nonlinearity, time-varying and load disturbance in linear servo system, the conventional PID control is hard to get an ideal control effect, this paper deduces the mathematical model of the permanent magnet linear synchronous motor (PMLSM) direct drive system, designs a fuzzy PID controller by combining fuzzy control with conventional PID control, adjust the parameters of PID controller in real time by making use of fuzzy control's ability of adjusting online. Simulation and experimental results show that the fuzzy PID controller is superior to the conventional PID controller in responsiveness, steady performance and dynamic tracking, which can shorten the positioning time, improve the system positioning accuracy.

Simulation Analysis of Electro-Pneumatic Proportional Fuzzy-PID Control System Based on AMESim/Simulink

2014 ◽  
Vol 945-949 ◽  
pp. 2568-2572
Author(s):  
Si Yuan Wang ◽  
Guang Sheng Ren ◽  
Pan Nie
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Simulation Analysis ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Proportional Control ◽  
Fuzzy Pid Controller ◽  
Design Requirements ◽  
Set Up

The test rig for hydro-pneumatic converter used in straddle type monorail vehicles was researched, and its electro-pneumatic proportional control system was set up and simulated based on AMESim/Simulink. Compared fuzzy-PID (Proportion Integral Derivative) controller with PID controller through fuzzy logic tool box in Simulink, the results indicate that, this electro-pneumatic proportional control system can meet design requirements better, and fuzzy-PID controller has higher accuracy and stability than PID controller.

Application of Fuzzy PID Control in Sluice Control

2012 ◽  
Vol 241-244 ◽  
pp. 1248-1254
Author(s):  
Feng Chen Huang ◽  
Hui Feng ◽  
Zhen Li Ma ◽  
Xin Hui Yin ◽  
Xue Wen Wu
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Information Integration ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Fuzzy Pid Control ◽  
Tuning Method ◽  
Fuzzy Pid Controller ◽  
Self Tuning

Fuzzy control, based on traditional Proportional-Integral-Derivative (PID) control, is used to improve the management of a hydro-junction’s sluice scheduling. In this study, we combined the PID and Fuzzy control theories and determined the PID parameters of the fuzzy self-tuning method of a hydro-junction’s sluice. A fuzzy self-tuning PID controller and its algorithm were designed. In hydro-junction sluice control, the Fuzzy PID controller can modify PID parameters in real-time, resulting in a more dynamic response. The application of the fuzzy self-tuning PID controller in the CiHuai River project information integration system yielded very good results.

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.

Application of Fuzzy PID Controller on Mine Local Fan

2014 ◽  
Vol 668-669 ◽  
pp. 450-453
Author(s):  
Mei Zhang
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Pid Controller ◽  
Control Method ◽  
Fuzzy Pid ◽  
Gas Concentration ◽  
Fuzzy Pid Controller ◽  
The Core ◽  
Adaptive Capability ◽  
Frequency Inverter

Considering the feature of mine local ventilator, the paper proposed a kind of control method combined fuzzy control and PID control to local fan. According to the error and error change of gas concentration, the system automatically adjusted PID controller’s parameters, to having adaptive capability. The monitoring of gas concentration and frequency inverter speed control of fan can be made with the system using TMS320F2407 DSP as the core.

Fuzzy PID Control for Fast-Steering Mirror System

2014 ◽  
Vol 568-570 ◽  
pp. 1026-1030
Author(s):  
Xue Jin Bai ◽  
Yong Ming Qiao
Keyword(s):  
Control System ◽  
Transient Process ◽  
Pid Control ◽  
Pid Controller ◽  
High Speed ◽  
Mirror System ◽  
Pid Controllers ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller

Fast-steering mirror system demands higher accuracy and fast responding speed to track targets, but the conventional PID controllers cannot meet the demands. Instead, the fuzzy PID control can greatly improve the capturing and tracking capacities to high-speed dynamic targets. So we apply the fuzzy-PID controller in the positioning loop of the stabilized system, not only improving the transient process of the control system and decreasing the overshoot, but also enhancing the accuracy of tracking stabilization and response. At the end, simulations were performed to test the effectiveness of this method through the MATLAB platform.

The Design and Simulation of Scheelite Alkali Autoclave Reactor Fuzzy-PID Controller

2014 ◽  
Vol 599-601 ◽  
pp. 1098-1101
Author(s):  
Xiao Yao Luo ◽  
Bin Chen ◽  
Meng Yu ◽  
Qi Xiong
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Fuzzy Pid ◽  
Matlab Simulation ◽  
Control Effect ◽  
Fuzzy Pid Controller ◽  
Autoclave Decomposition ◽  
Object Of Control ◽  
Autoclave Reactor

In view of the present situation of scheelite smelting technology in China, we analyze the existing equipment and process problems,put forward the technique of mechanical enhancement of scheelite and alkali autoclave decomposition method combining with the temperature, the temperature of reaction kettle as the main object of control, the fuzzy control and PID control combined to design a two-dimensional fuzzy controller, through the MATLAB simulation results show that, the control effect, safety and feasibility of good.

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