Dissertation > Excellent graduate degree dissertation topics show

The Simulation of ANFIS by MATLAB and the Study of Hydraulic Pressure Machine Fuzzy Temperature Control System

Author: ChenXinBing
Tutor: MengZhiQiang
School: Hunan University
Course: Control Theory and Control Engineering
Keywords: Fuzzy Control ANFIS MCGS 3500T hydraulic machine
CLC: TP273.5
Type: Master's thesis
Year: 2005
Downloads: 566
Quote: 8
Read: Download Dissertation

Abstract

In the actual process control, often difficult to predict there will be some changes, such as parameter drift or distortion, as well as some of the controlled object itself nonlinear, large delay, the emergence of these factors makes the conventional PID regulator loss, reducing system robustness; addition, a considerable part of the mathematical model of the controlled object is not precise enough and even difficult to establish, the emergence of fuzzy control, in order to solve such problems provides a new way. Fuzzy control can overcome the controlled object, such as a large hydraulic machine 3500T nonlinear, large delay, parameter drift and other factors, thus improving the robustness of the system, but its control performance is to be further improved. Adaptive fuzzy inference system is effective to improve the performance of the system control method of input and output data sets based on modeling, with self-learning function, can effectively overcome the subjectivity and fuzzy modeling accuracy, improve the accuracy of fuzzy modeling. This paper studies three adaptive fuzzy reasoning methods, and common adaptive neural network fuzzy inference system (ANFIS) for the MATLAB simulation, simulation results show that using subtractive clustering fuzzy control system initialization, can significantly increase the adaptive neural Fuzzy Inference System modeling accuracy. But adaptive neural network fuzzy inference system implementation is too complicated, is not suitable for a limited number of points based on MCGS achieve 3500T hydraulic machine fuzzy temperature control system, therefore, this paper studies the adaptive fuzzy inference system MATLAB simulation method, on the basis of on the need to research a new fuzzy temperature control methods to reduce system complexity and ensure a certain degree of control precision. Improve universe fuzzy quantization levels can improve the steady precision, but a few too many fuzzy quantization levels will greatly increase the workload of computing and reasoning process. 3500T hydraulic machine for the mathematical model is difficult to determine and large hysteresis characteristics, as well as limited circumstances MCGS point, this paper has developed a new fuzzy control system that eliminates quantization levels, the use of direct online reasoning, improved temperature control system accuracy; to determine the direction of the measured temperature conditions, the use of optimized SISO Sugeno inference prototype, a significant reduction in MCGS points, economic and practical. For 3500T low degree of automation and high failure rate, this paper developed the 3500T automatic monitoring system that based on MCGS configuration platform, mainly by the industrial machine monitoring subsystem, 3500T hydraulic machine, PLC control subsystem, the temperature control subsystem , operating platforms and real-time monitoring and control subsystem ultrasonic electrode length six major components, and an innovative way to achieve the event-type statistical reporting capabilities, real-time storage electrode production parameters, and generate automatic reports to facilitate technical staff for quality analysis and management to achieve a paperless office. Production run that fuzzy temperature control system has simple and practical, real-time, high precision, small overshoot advantages; entire 3500T automatic control system to replace the original mechanical man-machine interface console, higher reliability, easier to maintain.

Related Dissertations

CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system > Computer control, computer control system
© 2012 www.DissertationTopic.Net Mobile