Controller parameters of hvdc system , dc power transfer capacity as well as load characteristics , are analyzed in this paper . some valuable conclusions are drawn from the simulation results , theoretical explanations are also given to the phenomenon occurred during the simulation process 通過仿真研究,分析了交流系統(tǒng)強度、直流輸電系統(tǒng)的控制器參數(shù)、直流功率輸送水平及負荷特性等因素對上述兩個參數(shù)的影響,取得了一些重要的認識。
The parameters estimation with the least square method is applied to the open speed system . the least square estimation with forgetting factor and the least square error self - tuning control are applied to the close speed system and controller parameters arc obtained from estimation parameters directly 采用最小二乘參數(shù)估計算法對某渦扇發(fā)動機低壓轉速進行開環(huán)辨識,采用帶遺忘因子的最小二乘估和直接獲得控制器參數(shù)的自校正控制對該系統(tǒng)進行閉環(huán)控制。
Abstract : according to the characterestic of resistance furnace temperature control , temperature rising one - way control , large time delay and time - variation of parameter , using method of fuzzy compositional rule of inference establish fuzzy model and design fuzzy cntroler . in order to increase control system precision , it gives a fuzzy variable k , and sets parameter self - adjusting fuzzy control system . this system can on line self - adjusting controller parameters according to the error and variations of the error . it makes the system steady precision improved 文摘:根據(jù)電阻爐溫控制的特點,即只有升溫單向控制、滯后較大且具有參數(shù)時變性,利用模糊推理合成法建立模糊模型并進行模糊控制器設計,為提高模糊控制的精度,引入模糊變量k ,構成參數(shù)自調(diào)整模糊控制系統(tǒng).該系統(tǒng)可根據(jù)誤差和誤差變化在線自動調(diào)整控制器參數(shù),使系統(tǒng)的穩(wěn)態(tài)精度得到改善
Regarding the hysteretic properties and time - varying of the system , the scan round performance of the controller , adopt incremental pid algorithm in constant - pressure controlling and combine it with the integral - separated dead - zone algorithm as appropriate for the situation of the measuring system and applies fuzzy self - tuning to control pid controller parameters 由于系統(tǒng)的滯后時變性和控制器的循環(huán)掃描工作方式,恒壓控制采用增量式pid控制算法,結合測量系統(tǒng)實際情況加入積分分離帶死區(qū)改進算法,并對pid參數(shù)進行模糊自整定控制,設計了一種參數(shù)自整定模糊pid控制器。
A new fast generalized predictive control ( fgpc ) algorithm with low computation and simple structure that can be easily used in the typical loops of process control systems is presented in this chapter , and the controller parameter ' s number is little . in chapter 4 , it has two different classes of model uncertainty ( structured uncertainties and unstructured uncertainties 第三章:針對典型工業(yè)過程控制中大系數(shù)系統(tǒng)均可用一階或二階加純滯后環(huán)節(jié)來描述,提出一種快速的廣義預測控制算法,其控制器類似于pid控制器,參數(shù)數(shù)目較少,易于調(diào)節(jié),并且省略了一些繁瑣的矩陣運算。
On the base of analysis of the svpwm controller for two - phase asynchronous motors in home and abroad , the svpwm technique by using four space voltage vectors and divided eight sectors is advanced . the controller parameter and formulation are deduced . an optimized modulation index is proposed for the motor having rotary circle magnetic field 論文在分析國內(nèi)外兩相逆變器異步電動機的svpwm控制基礎上,提出四個電壓矢量八個工作空間的svpwm控制技術,推導了控制參數(shù)和計算公式,提出了使電機具有圓形旋轉磁場的調(diào)制比優(yōu)化方案,給出了實施本方案的逆變器功率管的導通順序和逆變器的輸出電壓波形。
The stress is basing coal - fired boiler inflammation system feature and control demand to design a kind of fuzzy - pi controller on based of genetic algorithm to control it . the controller refers the error and its variety rate as its inputs . and , in order to make the control qualities much better , concerns them as the performance index to optimize the membership function of the fuzzy variables and the pi ' s controller parameter by means of online adjujsting the genetic algorithm , inflammation system steam pressure loop and economic inflammation loop 重點是針對燃煤鍋爐燃燒系統(tǒng)的特點和控制要求,設計了一種基于遺傳算法的模糊- pi復合控制器對其進行控制,該控制器以偏差、偏差變化率作為輸入量,通過遺傳算法在線調(diào)整模糊控制器的模糊變量隸屬度函數(shù)和pi控制器的參數(shù),從而達到優(yōu)化模糊控制規(guī)則和pi控制器參數(shù)的目的,實現(xiàn)燃燒系統(tǒng)的蒸汽壓力回路和經(jīng)濟燃燒回路的控制要求。
Their titles are : 《 the investigation of aca in the optimization of controller parameters in the thermal automation system 》 , 《 realization of simulative simulation in wan 》 , 《 inspired simulator and application in steam system of power units 》 , 《 study and realization of wet flue gas system simulator in power plant 》 其中,張倩同學的論文題目是《蟻群算法在熱工自控參數(shù)優(yōu)化中的應用研究》 ,陳孝偉同學的論文題目是《激勵式仿真系統(tǒng)在廣域網(wǎng)中的實現(xiàn)》 ,何麗娜同學的論文題目是《激勵式仿真機及其在火電機組蒸汽系統(tǒng)中的應用》 ,白永鳳同學的論文題目《火電廠濕法煙氣脫硫系統(tǒng)仿真機的研究及實現(xiàn)》 。
Chapter 4 gives a full - scale study and analyse about ga and moga , presents the main idea of ga and moga , analyses a typical moga . the fuzzy controller parameters of an aero - engine model is optimized by nsga - ii in all possible operation points of two working condition . the result shows good dynamic and stable performance 然后,使用先進多目標遺傳算法nsga - ii對航空發(fā)動機模糊控制系統(tǒng)的參數(shù)進行了兩個飛行狀態(tài)下所有可行工作點的優(yōu)化選取,各個工作點的優(yōu)化結果表明模型的控制系統(tǒng)響應速度快、超調(diào)量小、穩(wěn)定效果佳。
Based on the study status of model predictive control and the new requirements from the practiceb industrial processes for the theory of model predictive control , some desiderated problems are studied and discussed in this article , also the corresponding results are given . the main contents are as follows : 1 . for a class of multivariable systems , the tuning of pid controller parameters is discussed in this paper 本文正是根據(jù)模型預測控制理論的研究現(xiàn)狀,以及實際工業(yè)過程控制應用中所面臨的對模型預測控制所提出的新要求,主要針對當前模型預測控制理論所面臨的若干亟待解決的問題進行了深入的研究和探討,并最終給出了相應的研究成果。