The Autonomous Suspending Control Method for Underwater Unmanned Vehicle Based on Amendment of Fuzzy Control Rules

2014 ◽  
pp. 318-323
Author(s):  
Peng-fei Peng ◽  
Zhi-gang Chen ◽  
Xiong-wei Ren
Keyword(s):  
Fuzzy Control ◽  
Control Method ◽  
Unmanned Vehicle ◽  
Control Rules

An Asymmetric Fuzzy Method for MPPT Control of PV System

2011 ◽  
Vol 341-342 ◽  
pp. 323-327
Author(s):  
Xiu Ling Wang ◽  
Rong Sheng Meng
Keyword(s):  
Fuzzy Control ◽  
Control Method ◽  
Input Function ◽  
Pv System ◽  
Nonlinear Characteristics ◽  
Fuzzy Method ◽  
Photovoltaic Array ◽  
Solar Arrays ◽  
Control Rules ◽  
Output Characteristics

In this paper an Asymmetric Fuzzy Method for MPPT Control of PV System was described, which is focus on the nonlinear characteristics of solar arrays and it is necessary to create control rules that meet the output characteristics of the solar arrays. Asymmetric Fuzzy control method can solve this question: the input function and membership function reflect characteristics of photovoltaic array adequately, which is different from traditional symmetric fuzzy control. So we can adjust to the disturbance step according to the characteristics of photovoltaic array.

scholarly journals Research on the intelligent control method of wind turbine grid connection without load

2020 ◽  
Vol 185 ◽  
pp. 01056
Author(s):  
Jing Ren ◽  
Shudong Wang
Keyword(s):  
Fuzzy Control ◽  
Wind Turbine ◽  
Intelligent Control ◽  
Clustering Algorithm ◽  
Control Method ◽  
Stable State ◽  
Control Object ◽  
Grid Connection ◽  
Control Rules ◽  
The Neural Network

Aiming at the problem that some wind turbines are difficult to achieve stability and low fitting accuracy when they are connected to the grid, an intelligent control method of wind turbine is proposed. Intelligent control is designed, and the output of the control object is the same as the expected output. The initial fuzzy control rules are obtained by the nearest neighbour clustering algorithm and the rules are optimized by the neural network. The fuzzy control and control strategy are integrated to realize the intelligent control of wind turbine with no load. Experiment results show that: compared with conventional control method, the intelligent control method of no-load grid-connection reaches a stable state sooner. The quadratic sum of fitting errors of the intelligent control method is lower than that of the conventional control method, which indicates that the intelligent control method has a higher fitting precision for samples, and the effect is better when the fan is connected to the grid without load.

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.

Fuzzy Changing Stiffness Control of the Unstable Vibration of a Centrifuge Rotor

1997 ◽  
Author(s):  
Y. Yuan ◽  
S. Y. Liu ◽  
B. C. Wen
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Control Method ◽  
Optimization Method ◽  
Control Rules ◽  
Coupling Equations ◽  
Stiffness Control ◽  
Unstable Vibration ◽  
Solid Liquid ◽  
Centrifuge Rotor

Abstract Fuzzy control theory is used to control the unstable vibration of a centrifuge rotor by means of changing support stiffness. The solid–liquid coupling equations of a centrifuge rotor are presented. A fuzzy changing stiffness controller with changeable control rules is designed. Parameters of the controller are optimized by an optimization method. This control method is realized on a horizontal centrifuge rotor. Experimental results show that fuzzy changing stiffness control (FCSC) can stabilize the unstable vibration of a centrifuge rotor effectively.

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.

Real Vehicle Test Research of Anti-Lock Based on Fuzzy Control Algorithm

2014 ◽  
Vol 968 ◽  
pp. 222-225
Author(s):  
Li Qiang Jin ◽  
Gang He ◽  
Yue Liu
Keyword(s):  
Fuzzy Control ◽  
Control Method ◽  
Cold Season ◽  
Road Surface ◽  
Test Results ◽  
Control Rules ◽  
Surface Test ◽  
Vehicle Test ◽  
Fuzzy Control Algorithm ◽  
Real Vehicle

To control the dynamic system, fuzzy control adopts the human brain intelligent reasoning methods, adheres to strict control rules. Compared with other ABS control method, it has good robustness, the characteristics of simple and practical, applicable to a variable and nonlinear ABS control system. In this paper, the fuzzy algorithm was used in ABS system of real car and tested at cold season, completed the ice road surface and the concrete road surface test. We have analyzed the test results in detail.

A Fuzzy Control Method based on Central Pattern Generator for QuadrupedRobots

2019 ◽  
Author(s):  
Dongkun Zhang ◽  
Jun Wu ◽  
Qiuguo Zhu ◽  
Rong Xiong ◽  
Yifeng Zhang ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Central Pattern Generator ◽  
Control Method ◽  
Pattern Generator

scholarly journals Research and application of smart streetlamp based on fuzzy control method

2021 ◽  
Vol 183 ◽  
pp. 341-348
Author(s):  
Maohua Ai ◽  
Pengju Wang ◽  
Wei Ma
Keyword(s):  
Fuzzy Control ◽  
Control Method
Sign in / Sign up

Export Citation Format

Share Document