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1、英文翻譯部分英文部分:Advanced control algorithms for steam temperature regulation of thermal power plantsA.Sanchez-Lopez,G.Arroyo-Figueroa*,A.Villavicencio-RamirezInstituto de Investigaciones Electricas, Division de Sistem

2、as de Control, Reforma No. 113, Colonia Palmira,Cuernavaca, Morelos 62490, MexicoReceived 5 February 2003; revised 6 April 2004; accepted 8 July 2004AbstractA model-based controller (Dynamic Matrix Control) and an intell

3、igent controller (Fuzzy Logic Control) have been designed and implemented for steam temperature regulation of a 300 MW thermal power plant. The temperature regulation is considered the most demanded control loop in the s

4、team generation process. Both proposed controllers Dynamic Matrix Controller (DMC) and Fuzzy Logic Controller (FLC) were applied to regulate superheated and reheated steam temperature. The results show that the FLC cont

5、roller has a better performance than advanced model- based controller, such as DMC or a conventional PID controller. The main benefits are the reduction of the overshoot and the tighter regulation of the steam temperatur

6、es. FLC controllers can achieve good result for complex nonlinear processes with dynamic variation or with long delay times.Keywords: Thermal power plants; Power plant control; Steam temperature regulation; Predictive c

7、ontrol; Fuzzy logic control1. Introduction Current economic and environment factors put a stringer requirement on thermal power plants to be operated at a high level of efficiency and safety at minimum cost. In additio

8、n, there are an increment of the age of thermal plants that affected the reliability and performance of the plants. These factors have increased the complexity of power control systems operations [1,2].Currently, the co

9、mputer and information technology have been extensively used in thermal plant process operation and control. Distributed control systems (DCS) and management information systems (MIS) have been playing an important rol

10、e to show perturbed with an unitary step signal as an input disturbance (Fig. 3).This method is the most common and easy mean to obtain the dynamic matrix coefficients of the process. The control technique includes the

11、followings procedures:(a) Obtaining the Dynamic Matrix model of the process. In this stage, a step signal is applied to the input of the process. The measurements obtained with this activity represent the process behav

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