锅炉蒸汽温度模糊神经网络的广义预测控制---自动化专业毕业论文外文文献翻译_精品.doc

目 录 Part 1 PID type fuzzy controller and parameters adaptive method 1 Part 2 Application of self adaptation fuzzy-PID control for main steamtemperature control system in power station 7 Part 3 Neuro-fuzzy generalized predictive control of boiler steam temperature ………13 Part 4 为Part3译文:锅炉蒸汽温度模糊神经网络的广义预测控制21 Part 1 PID type fuzzy controller and Parameters adaptive method Wu zhi QIAO, Masaharu MizumotoAbstract: 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 controllerSimulation 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- 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 product and arithmetic mean aggregation operators to replace the logical AND minimum and OR imum calculations in the Min- compositional rule of inference In the algorithm of a fuzzy controller, the fuzzy function calculation is also a complicated and time consuming task. Tagagi and Suge