The Research of Fuzzy-PID Control Based on Grey Predition for AUV

2012 ◽  
Vol 246-247 ◽  
pp. 888-892 ◽  
Author(s):  
Qi Li ◽  
Xiu Hua Shi ◽  
Zhi Qiang Kang
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Control Method ◽  
High Accuracy ◽  
Grey Model ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fast Speed ◽  
Adaptive Property ◽  
Heading Control

The complexity of sea environment and the uncertainty of AUV model lead to difficulties of heading control. It is difficult to satisfy its requirement for high accuracy and fast speed through the use of a single control method, based on the peculiarity of AUV and the existing problem of control, We propose a fuzzy-PID control method based on a grey model, which combines fuzzy control with PID control, Our simulations confirm that our method provides higher robustness and adaptive property than regular PID, it is suitable for the use of AUV in complexity sea environment.

Research on Self-Tuning Fuzzy PID Control Strategy of Metallurgy Furnace Temperature

2012 ◽  
Vol 472-475 ◽  
pp. 3063-3066
Author(s):  
Rong Luo ◽  
Lun Wei Chen ◽  
Hong Bo Ren ◽  
Cheng Yu Liu
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Furnace Temperature ◽  
Advantages And Disadvantages ◽  
Self Tuning ◽  
Concrete Control

Aim at the effect of the control method in traditional metallurgy furnace temperature is not good, a self-tuning fuzzy PID control method combining fuzzy control with PID control was proposed in this paper based on the analysis of the advantages and disadvantages of the PID control and fuzzy control method, and a concrete control algorithm was put forward and simulation experiment was finished. The simulation results show that the effect of the controller is good, and the control of system is fast and smoothly according to it.

Development of a Novel Robotic Catheter Manipulating System with Fuzzy PID Control

2012 ◽  
Vol 2 (2) ◽  
pp. 58-77 ◽  
Author(s):  
Xu Ma ◽  
Shuxiang Guo ◽  
Nan Xiao ◽  
Jian Guo ◽  
Shunichi Yoshida ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Control Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fast Reactions ◽  
Control Rules ◽  
Remote Operations ◽  
Intense Radiation ◽  
Better Than

Manual operation of steerable catheter is inaccurate in minimally invasive surgery, requiring dexterity for efficient manipulation of the catheter, and it exposes the surgeons to intense radiation. The authors’ objectives are to develop a robotic catheter manipulating system that replaces the surgeons with high accuracy. Increasing demands for flexibility and fast reactions in a control method, fuzzy control (FC) can play an important role because the experience of experts can be combined in the fuzzy control rules to be implemented in the systems. They present a practical application of a fuzzy PID control to this developed system during the remote operations and compare with the traditional PID (Proportional-Integral-Derivative Controllers) control experimentally. The feasibility and effectiveness of the control method are demonstrated. The synchronous manipulation performance with the fuzzy PID control is much better than using the conventional PID control method during the remote operations.

The Environment Monitoring System of Refuge Cabin and its Simulation Based on Fuzzy-PID Algorithm

2014 ◽  
Vol 568-570 ◽  
pp. 1113-1121 ◽  
Author(s):  
Huai Chao Yan ◽  
Lin Jie Li ◽  
Jun Ge Huang
Keyword(s):  
Fuzzy Control ◽  
Monitoring System ◽  
Pid Control ◽  
Control Method ◽  
Stable Operation ◽  
Control Technology ◽  
Environment Monitoring ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Environmental Monitoring System

In order to improve people's chances of survival, Multifunctional fire refuge compartment, a kind of emergency equipment, was invented when a high-rise building breaking out of fire. One key component of it is the environmental monitoring system of refuge cabin. Meanwhile, to ensure that the refuge chamber system can respond quickly and be stable operation, it takes an kind of intelligent control technology which combined with traditional PID control(Proportion、Integration、Differentiation)and fuzzy control technology, namely fuzzy PID control to regulate. In this paper, combined with the fuzzy control technology, we discuss the fuzzy self-tuning PID control method of refuge cabin environment monitoring system. Try to make digital processing of control system by MCU(Micro Control Unit), we use the Simulink and Fuzzy toolbox in MATLAB to simulate the refuge compartment cooling system which using the fuzzy PID control method and compare with the conventional PID control. The result shows that Fuzzy-PID control method reduces the overshoot of the system, shortens the settling time, decreases steady-state deviation, improves the static and dynamic characteristics of the system effectively. Finally, it can enhance the reliability and adaptability of the system.

Research and Application of Fuzzy Control in Boiler Combustion System Based on ACA

2012 ◽  
Vol 461 ◽  
pp. 642-646
Author(s):  
Chen Wu ◽  
Guo Huan Lou
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Ant Colony Algorithm ◽  
Control Method ◽  
Linear Time ◽  
Control Parameters ◽  
Combustion System ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Rules

In the complex control processes of the industrial boiler combustion system with non-linear, time-varying and multivariable, aim at the original control parameters fixed, slow response, delay regulation and other problems, this paper introduces a control method that combines ant colony algorithm with fuzzy PID control, improves the design of fuzzy control rules table and optimizes the PID control parameters. Simulation results show that this control scheme is superior to conventional PID control and fuzzy PID control.

Intelligent Information of TS Fuzzy PID Control System of BLDCM

2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang
Keyword(s):  
Control System ◽  
Dynamic Model ◽  
Pid Control ◽  
Control Method ◽  
Design Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Simulation Results ◽  
Intelligent Information

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.

scholarly journals Research on Intelligent Control System of Thermal Print Head Based on FPGA

2021 ◽  
Author(s):  
Yang Xu ◽  
Sheng Wang ◽  
Ying Peng
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Print Quality ◽  
Fuzzy Pid ◽  
Single Chip ◽  
Fuzzy Pid Control ◽  
Print Head ◽  
Field Programmable ◽  
Time Required

Thermal print head heating realtime temperature fluctuations are too large, often causing damage to the print head heating point, resulting in poor print quality and unsatisfactory print results. Therefore, in order to improve the stability of the thermal print head during printing, and at the same time solve the inefficiency of the traditional single chip microcomputer control of the thermal print head heating method, a field programmable gate array (FPGA) based thermal print head heating control method is proposed. In order to control the core, the intelligent fuzzy PID control algorithm is used to ensure that the temperature of the print head can be stabilized quickly. Through simulation and experimental verification, it is shown that the intelligent fuzzy PID control algorithm greatly improves the temperature stabilization effect, and the time required to reach stability short, not only improve the printing accuracy, but also extend the life of the print head.

Induction Heating Furnace Temperature Control Based on the Fuzzy PID

2012 ◽  
Vol 217-219 ◽  
pp. 2463-2466 ◽  
Author(s):  
Xue Gang Hou ◽  
Cheng Long Wang
Keyword(s):  
Fuzzy Control ◽  
Temperature Control ◽  
Induction Heating ◽  
Pid Control ◽  
Pid Controller ◽  
Heating Furnace ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Furnace Temperature ◽  
Run Up

Induction heating furnace temperature control is a complex nonlinear hysteretic inertial process, it's difficult to obtain an accurate mathematical model because the temperature and disturb from outside is complicated. The normal PID control algorithm is hard to satisfy the standards of control. The fuzzy PID controller provided in this article is a combination between fuzzy control and the traditional PID control. The Fuzzy control theory is used to setting the ratio, the integral and the differential coefficient of the PID control. In the run-up stage, rapidity is guaranteed, overstrike and the steady-state error is up to the mustard. An example indicates that fuzzy PID control is superior to the normal PID controller.

The Improvement of Anti-Surge Control on Air Separation Compressor

2011 ◽  
Vol 383-390 ◽  
pp. 2991-2995
Author(s):  
Chang Hong Jiang ◽  
Shao Zhong Lu ◽  
Lian Fang Liu
Keyword(s):  
Least Squares ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Regression Equation ◽  
Air Separation ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Compressor Surge ◽  
Surge Control

This paper mainly describes the reasons for compressor surge and damage, and provide the traditional control method, which can not meet the growing needs, the improved control method, which according to the data using least squares curve to determine surge control regression equation and make the compressor operate safely by using the fuzzy PID control algorithm on the parameter adjustment.

scholarly journals A Micro-Force-Tracking System Based on PVDF Static Micro-Force Sensor and Fuzzy-PID Control Method

2011 ◽  
Vol 2-3 ◽  
pp. 489-494
Author(s):  
Zhi Yong Sun ◽  
Wen Lin Chen ◽  
Yun Quan Su ◽  
Li Na Hao
Keyword(s):  
Pid Control ◽  
Polyvinylidene Fluoride ◽  
Control Method ◽  
Tracking System ◽  
Force Sensor ◽  
Fuzzy Pid ◽  
Sensing Element ◽  
Fuzzy Pid Control ◽  
Force Tracking ◽  
Micro Force Sensor

This article is intended to design a static micro-force sensor with a simple structure employing the polymer material PVDF (polyvinylidene fluoride) film as its sensing element, and will carry out some micro-force tracking tests. During the tracking tests, this paper employs a Fuzzy-PID control method and an ordinary PD control method to control the system, and will also analyze the results of them.

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