Development of an Intelligent Multiple-Function Sectional Servo Control System

碩士 === 國立臺北科技大學 === 車輛工程系所 === 94 === Regarding to control units, or the variations of performance curve on the system response, the measurements of physical quantity as well as the variations of real racking movement for educational training on the traditional hydraulic server control were rarely t...

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Bibliographic Details
Main Authors: Bing-Jou Chen, 陳秉州
Other Authors: 林百福
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/p5pq7e
Description
Summary:碩士 === 國立臺北科技大學 === 車輛工程系所 === 94 === Regarding to control units, or the variations of performance curve on the system response, the measurements of physical quantity as well as the variations of real racking movement for educational training on the traditional hydraulic server control were rarely to be seen even though omissions. But characteristic analysis for a hydraulic control system is very important. Because understanding the characteristic of control units well can help chosen units of system design properly to enhance the most performance. Therefore, this study designed and constructed a flexible combination, server control platform. It can be composed a server control system by user’s needs to match different units for providing measurement and control. In order to operate conveniently for the users in controlling and measuring applications, the study applied programming language Borland C++ Builder 6.0 on the Windows operation system to develop the software in graphic control with human-machine interface. The server control system has the dynamic characteristic of nonlinear time varying and uncertain disturbance, so that is hard to design controller controlling system based on fundamental theory model, due to the mathematics model is not built and evaluated easily. Therefore, this study developed intelligent control strategies without system mathematics model:(1)traditional fuzzy controller and (2)grey prediction fuzzy controller, to control multi-function server system and evaluate the control performance of the system. Experimental results demonstrated that grey prediction fuzzy controller has better control performance than traditional fuzzy controller and PID of server system, respectively.