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.

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.

scholarly journals Real-time implementation of three-level inverter-based D-STATCOM using neuro-fuzzy controller

2018 ◽  
Vol 26 (4) ◽  
pp. 2088-2103 ◽  
Author(s):  
Resul ÇÖTELİ ◽  
Hakan AÇIKGÖZ ◽  
Beşir DANDIL ◽  
Servet TUNCER
Keyword(s):  
Real Time ◽  
Fuzzy Controller ◽  
Neuro Fuzzy

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

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 Investigation of the Possibility of Building a Neural Fuzzy Logic Controller with Discrete Terms for Controlling and Automating Oil and Gas Engineering Facilities

2021 ◽  
Vol 19 (3) ◽  
pp. 105-110
Author(s):  
A. M. Sagdatullin ◽  
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Control ◽  
Control Systems ◽  
Fuzzy Logic Controller ◽  
Oil And Gas ◽  
Fuzzy Controller ◽  
Neuro Fuzzy ◽  
Classical Control

The issue of increasing the efficiency of functioning of classical control systems for technological processes and objects of oil and gas engineering is investigated. The relevance of this topic lies in the need to improve the quality of the control systems for the production and transportation of oil and gas. The purpose of the scientific work is to develop a neuro-fuzzy logic controller with discrete terms for the control and automation of pumping units and pumping stations. It is noted that fuzzy logic, neural network algorithms, together with control methods based on adaptation and synthesis of control objects, make it possible to learn the automation system and work under conditions of uncertainty. Methods for constructing classical control systems are studied, the advantages and disadvantages of fuzzy controllers, as the main control system, are analyzed. A method for constructing a control system based on a neuro-fuzzy controller with discrete terms in conditions of uncertainty and dynamic parameters of the process is proposed. The positive features of the proposed regulator include a combination of fuzzy reasoning about a technological object and mathematical predictive models, a fuzzy control system gains the possibility of subjective description based on neural network structures, as well as adaptation to the characteristics of the object. The graph of dependence for the term-set of the controlled parameter on the degree of membership is presented. A possible implementation of tracking the triggering of one of the rules of the neuro-fuzzy system in the format of functional block diagrams is presented. The process of forming an expert knowledge base in a neuro-fuzzy control system is considered. For analysis, a graph of the dependence of the output parameter values is shown. According to the results obtained, the deviation of the values for the model and the real process does not exceed 18%, which allows us to speak of a fairly stable operation of the neuro-fuzzy controller in automatic control systems.

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.

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