Application of Fuzzy Control in Linear Motor XY Platform

2014 ◽  
Vol 536-537 ◽  
pp. 1093-1096
Author(s):  
Yong Gang Chen ◽  
Qiu Sheng Yan ◽  
Hang Jun Gong
Keyword(s):  
Fuzzy Control ◽  
Real Time ◽  
Fuzzy Controller ◽  
Fuzzy Reasoning ◽  
Linear Motor ◽  
Matrix Operation ◽  
Geometrical Meaning ◽  
Application Range ◽  
Motion Control Card ◽  
The Matrix

Limited by the matrix operation ability of normal control CPU (e.g. MCU, PLC and so on), the realization of fuzzy control always via the way of “calculate offline and inquire online”. Applications and practices have proved that such a realization method brings system steady-sate error, and limited the application range of fuzzy control. Based on the study of FC theory and the analysis of Mamdani fuzzy reasoning from geometrical meaning, a real-time fuzzy controller is designed and used in a Linear Motor XY Plaform control system based on Motion control card. The results show that the Real-time FC can avoid the steady-state error effectively and improve the controllability further.

Simulation Research of Wind Power Rotate Speed Based on Cloud Model of Fuzzy Reasoning PID Control

2013 ◽  
Vol 816-817 ◽  
pp. 857-861
Author(s):  
You Jun Yue ◽  
Yue Xu ◽  
Hui Zhao ◽  
Hong Jun Wang
Keyword(s):  
Wind Speed ◽  
Fuzzy Control ◽  
Wind Power ◽  
Pid Control ◽  
Fuzzy Controller ◽  
Cloud Model ◽  
Fuzzy Reasoning ◽  
Fuzzy Pid Control ◽  
Simulation Research ◽  
Speed Change

When wind turbine works under rated wind speed, we often use fuzzy controller to control rotate speed and keep the best sharp blade speed to achieve the aim of capture the largest wind power. Due to the nonlinearity of wind power, the uncertainty of timely change and other factors, though fuzzy PID control is the combination of fuzzy control and PID control, which can solve the problem of nonlinear very well, it focuses only on the fuzziness, and fails to consider the random error brought by wind speed change. Therefore this paper designed fuzzy reasoning PID controller based on cloud model on the base of analyzing parameters of wind power and advantage as well as shortage of both PID control and fuzzy control. Then start the RT-LAB simulation platform. The simulation result proved that this method can effectively depress the overshoot. And its stability and dynamic speed response is better than PID control and fuzzy control. It achieved ideal result.

A PLC-Based Fuzzy Control System for ESP

2013 ◽  
Vol 655-657 ◽  
pp. 1445-1449
Author(s):  
Fang Yong Tian ◽  
Ji Wei Xiao ◽  
Chuan Dong Chen
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Real Time ◽  
Oil Recovery ◽  
Frequency Conversion ◽  
Fuzzy Controller ◽  
System Control ◽  
System Efficiency ◽  
Operating Life ◽  
Recovery Capacity

With the oilfield development entering into high water cut stage, ESP (Electric Submersible Pump) was widely used with its strong oil recovery capacity. At present, there is a big gap in ESP control technology between ours and overseas, the traditional line frequency control failures frequently, has low system efficiency, serious energy waste and high operation cost, and frequency conversion control can't real-time automatic adjustment. According to these existing problems, fuzzy control was introduced into ESP system control, a fuzzy control algorithm was put forward by this paper, then fuzzy controller was realize by using PLC programming. This control system not only reserved the flexible, reliable and strong ability to adapt characteristics of PLC control system, and improved the of intelligence level of the system. Ensure esp real-time efficient and reasonable operation, prolong operation life, and enhanced. With this control system, ESP can real -time run efficiently, prolong the operating life, enhance the system efficiency, save energy and reduce consumption

Neuro-Fuzzy Control of Power-Assist Omnidirectional Wheelchair Using Human-Friendly Touch Panel

2009 ◽  
Vol 21 (3) ◽  
pp. 427-434 ◽  
Author(s):  
Kazuhiko Terashima ◽  
◽  
Hideo Kitagawa ◽  
Takanori Miyoshi ◽  
Sou Kitamura ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Real Time ◽  
Fuzzy Controller ◽  
User Needs ◽  
Touch Panel ◽  
Neuro Fuzzy

An omnidirectional power-assist wheelchair must be adaptable to needs of individual attendants. We modified our neuro-fuzzy controller to improve diagonal movements. We also developed an innovative touch panel interface providing easy real-time input and feedback. Experiments confirmed the wheelchair's adaptability to user needs.

scholarly journals A spintronic memristor crossbar array for fuzzy control with application in the water valves control system

2019 ◽  
Vol 52 (5-6) ◽  
pp. 418-431 ◽  
Author(s):  
Liu Jun ◽  
Xie Shouyong ◽  
Chen Chong ◽  
Xie Dan ◽  
Yang Mingjin
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Real Time ◽  
Control Strategy ◽  
Fuzzy Controller ◽  
Real Time Control ◽  
The Real ◽  
Crossbar Array ◽  
Time Control ◽  
Memristor Crossbar

Fuzzy control, an intelligent control method, is generally employed to deal with complex nonlinear controlled objects that cannot be expressed by accurate mathematical model. Memristor, whose unique advantages are automatic successive memory and nonvolatility, brought new opportunity for solving the key question of fuzzy control. With the design idea of software harden, this paper first constructed membership function in the fuzzy controller based on the unique feature of crossbar array of the spintronic memristor and elaborated the whole construction process. After that, this paper simulated the construction process with MATLAB simulation software, verifying its reasonability and feasibility. Furthermore, a typical fuzzy control water tank system was chosen to explore and discuss the flexibility of spintronic memristor crossbar array in the real-time control system, and the proposed control strategy and the typical fuzzy control strategy were compared. The results revealed that the proposed control strategy was able to attain the effectiveness of the typical fuzzy control system in the real-time control system. This sets light to future research on the implementation of memristor crossbar array in the real-time control system and also promotes the application of fuzzy controller design idea. The problems needed to be solved when implementing memristor crossbar array in the real-time control system were discussed in the final section.

scholarly journals FPGA-Based Mechatronic Design and Real-Time Fuzzy Control with Computational Intelligence Optimization for Omni-Mecanum-Wheeled Autonomous Vehicles

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1328 ◽  
Author(s):  
Hsu-Chih Huang ◽  
Chin-Wang Tao ◽  
Chen-Chia Chuang ◽  
Jing-Jun Xu
Keyword(s):  
Fuzzy Control ◽  
Real Time ◽  
Computational Intelligence ◽  
Autonomous Vehicles ◽  
Control Method ◽  
Fuzzy Controller ◽  
Real Time Control ◽  
Mechatronic Design ◽  
Time Control ◽  
Mobile Vehicle

This study presents a field-programmable gate array (FPGA)-based mechatronic design and real-time fuzzy control method with computational intelligence optimization for omni-Mecanum-wheeled autonomous vehicles. With the advantages of cuckoo search (CS), an evolutionary CS-based fuzzy system is proposed, called CS-fuzzy. The CS’s computational intelligence was employed to optimize the structure of fuzzy systems. The proposed CS-fuzzy computing scheme was then applied to design an optimal real-time control method for omni-Mecanum-wheeled autonomous vehicles with four wheels. Both vehicle model and CS-fuzzy optimization are considered to achieve intelligent tracking control of Mecanum mobile vehicles. The control parameters of the Mecanum fuzzy controller are online-adjusted to provide real-time capability. This methodology outperforms the traditional offline-tuned controllers without computational intelligences in terms of real-time control, performance, intelligent control and evolutionary optimization. The mechatronic design of the experimental CS-fuzzy based autonomous mobile vehicle was developed using FPGA realization. Some experimental results and comparative analysis are discussed to examine the effectiveness, performance, and merit of the proposed methods against other existing approaches.

scholarly journals Variance and Passivity Constrained Fuzzy Control for Nonlinear Ship Steering Systems with State Multiplicative Noises

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Wen-Jer Chang ◽  
Bo-Jyun Huang
Keyword(s):  
Fuzzy Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Sufficient Conditions ◽  
Fuzzy Model ◽  
Lyapunov Theory ◽  
Linear Matrix ◽  
Multiplicative Noises ◽  
Ship Steering ◽  
The Matrix

The variance and passivity constrained fuzzy control problem for the nonlinear ship steering systems with state multiplicative noises is investigated. The continuous-time Takagi-Sugeno fuzzy model is used to represent the nonlinear ship steering systems with state multiplicative noises. In order to simultaneously achieve variance, passivity, and stability performances, some sufficient conditions are derived based on the Lyapunov theory. Employing the matrix transformation technique, these sufficient conditions can be expressed in terms of linear matrix inequalities. By solving the corresponding linear matrix inequality conditions, a parallel distributed compensation based fuzzy controller can be obtained to guarantee the stability of the closed-loop nonlinear ship steering systems subject to variance and passivity performance constraints. Finally, a numerical simulation example is provided to illustrate the usefulness and applicability of the proposed multiple performance constrained fuzzy control method.

Special Issue on Fuzzy Control

1995 ◽  
Vol 7 (1) ◽  
pp. 1-1
Author(s):  
Keigo Watanabe ◽  
Keyword(s):  
Neural Network ◽  
Fuzzy Control ◽  
Large Scale ◽  
Fuzzy Controller ◽  
Fuzzy Reasoning ◽  
Editorial Staff ◽  
Special Issue ◽  
Fuzzy Neural ◽  
Input Variables ◽  
Neural Network Theory

This special issue is devoted to the study of Fuzzy Control applied to robotics and mechatronics. In particular, it contains a collection of fuzzy-neural network approaches, together with the conventional fuzzy reasoning or new approaches. Since the first pioneering work on fuzzy sets and fuzzy logic reported in 1965 by Zadeh, many control application papers have been published with the fundamental fuzzy controllers based on the so-called Mamdani's min-max centroidal method, the TakagiSugeno's functional reasoning, and the simplified reasoning. However, it is recognized that much trial and error is necessary in the design of the conventional fuzzy controller, because the fuzzy reasoning methods mentioned above are not fundamentally related to any control or system theory. In addition, it should be noted that the total number of control rules grows exponentially as the number of input variables to the conventional fuzzy reasoning increases. Thus, in order to improve the conventional approach and develop the new approach for large-scale systems, most current work on fuzzy control is concerned with an effective design, construction, or analysis of the fuzzy controller by invoking the neural network theory, genetic algorithm, and other control or system theories. Although the literature, both in Japanese and in English, on fuzzy control and applications is now very rich, I believe that this special issue provides an important impact on the advanced fuzzy control. This issue would not have been possible without the enthusiastic support of the contributors. I am indebted to all of them for their up-to-date contributions and to the editorial staff for care throughout the editorial and printing process.

The Path Planning Control of a Mobile Robot Based on Fuzzy and Fuzzy Adaptive PID

2015 ◽  
Vol 713-715 ◽  
pp. 876-880 ◽  
Author(s):  
Su Ying Zhang ◽  
Yan Kai Shen ◽  
Wen Shuai Cui
Keyword(s):  
Control System ◽  
Path Planning ◽  
Fuzzy Control ◽  
Mobile Robot ◽  
Real Time ◽  
Fuzzy Controller ◽  
Target Point ◽  
Time Planning ◽  
Adaptive Pid Control ◽  
Fuzzy Adaptive

The purpose of this paper is to suggest and examine a control system with a fuzzy controller and a fuzzy-PID controller to solve the problem of mobile robot path planning. The environment information about obstacles and the goal has been detected by using sensors. The system divides environment situations into two types the obstacle mode and non-obstacle mode. In view of the oscillation problem existing in fuzzy control when there is no obstacle, this paper proposes that the fuzzy control is used for the obstacle mode and the fuzzy adaptive PID control is used for the non-obstacle mode. The robot performs the real-time planning choice by path planning selector, and the control system is simulated by Matlab software. The simulation result shows that the control strategy has the characteristics of faster response, better real-time performance and achieves a better path from the start point to the target point.

scholarly journals Development and application of a real-time RT-PCR assay to rapidly detect H2 subtype avian influenza A viruses

2021 ◽  
pp. 104063872199481
Author(s):  
Yixin Xiao ◽  
Fan Yang ◽  
Fumin Liu ◽  
Hangping Yao ◽  
Nanping Wu ◽  
...  
Keyword(s):  
Avian Influenza ◽  
Real Time ◽  
Influenza A ◽  
Minor Groove Binder ◽  
Rt Pcr ◽  
Influenza A Viruses ◽  
Pcr Assay ◽  
Infectious Dose ◽  
The Matrix ◽  
Taqman Minor Groove Binder

The H2 subtypes of avian influenza A viruses (avian IAVs) have been circulating in poultry, and they have the potential to infect humans. Therefore, establishing a method to quickly detect this subtype is pivotal. We developed a TaqMan minor groove binder real-time RT-PCR assay that involved probes and primers based on conserved sequences of the matrix and hemagglutinin genes. The detection limit of this assay was as low as one 50% egg infectious dose (EID50)/mL per reaction. This assay is specific, sensitive, and rapid for detecting avian IAV H2 subtypes.

Research on Fuzzy Control of Mine Ventilation Based on Embedded Systems

2014 ◽  
Vol 686 ◽  
pp. 126-131
Author(s):  
Xiao Yan Sha
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Control Unit ◽  
Real Time Control ◽  
Embedded Processor ◽  
Feed Forward ◽  
Time Control ◽  
Software And Hardware

Taking embedded processor as the core control unit, the paper designs the fan monitoring system software and hardware to achieve the fan working condition detection and real-time control. For the control algorithm, the paper analyzes the fuzzy control system theory and composition, and then combined with tunnel ventilation particularity, introduce feed-forward model to predict the incremental acquisition of pollutants to reduce lag, combined with the system feedback value and the set value, by calculate of two independent computing fuzzy controller, and ultimately determine the number of units increase or decrease in the tunnel jet fans start and stop. Through simulation analysis, the introduction of a feed-forward signal, it can more effectively improve the capability of the system impact of interference.

Sign in / Sign up

Export Citation Format

Share Document