《自动化专业毕业论文外文文献翻译》.doc

目 录TOC \o 1-1 \h \u HYPERLINK \l _Toc4437 Part 1 PID type fuzzy controller and HYPERLINK \l _Toc11907 parameters adaptive method PAGEREF _Toc11907 1 HYPERLINK \l _Toc24918 Part 2 Application of self adaptation fuzzy-PID control for main steam temperature control system in HYPERLINK \l _Toc15990 power station PAGEREF _Toc15990 7 HYPERLINK \l _Toc18495 Part 3 Neuro-fuzzy generalized predictive control HYPERLINK \l _Toc408 of boiler steam temperature ……… PAGEREF _Toc408 13 HYPERLINK \l _Toc25309 Part 4 为Part3译文： HYPERLINK \l _Toc8913 锅炉蒸汽温度模糊神经网络的广义预测控制 PAGEREF _Toc8913 21 PAGE 26 Part 1 PID type fuzzy controller and Parameters adaptive method Wu zhi QIAO, Masaharu Mizumoto Abstract: The authors of this paper try to analyze the dynamic behavior of the product-sum crisp type fuzzy controller, revealing that this type of fuzzy controller behaves approximately like a PD controller that may yield steady-state error for the control system. By relating to the conventional PID control theory, we propose a new fuzzy controller structure, namely PID type fuzzy controller which retains the characteristics similar to the conventional PID controller. In order to improve further the performance of the fuzzy controller, we work out a method to tune the parameters of the PID type fuzzy controller on line, producing a parameter adaptive fuzzy controller. Simulation experiments are made to demonstrate the fine performance of these novel fuzzy controller structures. Keywords: Fuzzy controller; PID control; Adaptive control 1. Introduction Among various inference methods used in the fuzzy controller found in literatures , the most widely used ones in practice are the Mamdani method proposed by Mamdani and his associates who adopted the Min-max compositional rule of inference based on an interpretation of a control rule as a conjunction of the antecedent and consequent, and the product-sum method proposed by Mizumoto who suggested to introduce the p