This dissertation studies mainly the identification and the optimal control problem in parabolic pdes , including the existence of solutions of state equations and optimal solutions of the optimal control and the identification problems , optimality conditions , the relation between the state functions and the control functions ( identification parameters ) , the algorithms of infinite - dimensional optimization problems deriving from the identification and the optimal control problem of distributed parameter system 本文主要研究拋物型分布參數(shù)系統(tǒng)辨識(shí)與最優(yōu)控制問(wèn)題,包括狀態(tài)方程解和辨識(shí)與最優(yōu)控制問(wèn)題最優(yōu)解的存在性、最優(yōu)性條件、狀態(tài)函數(shù)與控制函數(shù)(識(shí)別參數(shù))之間的關(guān)系及求解基于辨識(shí)與最優(yōu)控制問(wèn)題而產(chǎn)生的無(wú)窮維最優(yōu)化問(wèn)題的算法。
In the control of complicated modern industrial plants , because most of the plants have many input variables , high non - linearity , tight coupling , serious transmission lag , distributed parameters , time - varying and many kinds of disturbances , the conventional control methods based on the exact mathematical model can not achieve both approving dynamic and static results 在現(xiàn)代復(fù)雜工業(yè)控制中,由于被控對(duì)象通常具有多變量、嚴(yán)重的非線性、強(qiáng)耦合、大滯后、分布參數(shù)、時(shí)變以及種類(lèi)繁多的干擾,使得基于精確數(shù)學(xué)模型的常規(guī)控制方法已無(wú)法獲得滿(mǎn)意的動(dòng)靜態(tài)控制效果。
This thesis presents a single - terminal fault location technique that is used together with recloser . the technique takes advantage of reclosing of single - terminal recloser to eliminate the influence of the remote source impedance . a distributed parameter line model is used for the proposed algorithm , thus the technique can be used in hv transmission line 為了克服這一缺點(diǎn),本文提出了與自動(dòng)重合閘配合使用的單端故障測(cè)距方法,根據(jù)電力系統(tǒng)的運(yùn)行特點(diǎn),利用故障線路在試送電時(shí)自動(dòng)重合閘的單端重合狀態(tài)來(lái)消除對(duì)端系統(tǒng)的影響,測(cè)距算法建立在分布參數(shù)模型基礎(chǔ)上,使其可應(yīng)用于高壓輸電線路。
Presents the new independentmodal - space variable structure control for flexible structures with distributed parameter model , which is decoupled into a number of 2 - dimensional subsystems in terms of coordination transmission where , the variable structure control law is designed within the given boundary of structural uncertainty and disturbance , and concludes from simulation results that the algorithm is not only simple so as to accomplish in real time , but also is very robust 對(duì)具有分布參數(shù)模型的撓性結(jié)構(gòu)提出了模態(tài)空間變結(jié)構(gòu)控制方案,利用坐標(biāo)變換把整個(gè)系統(tǒng)分為若干個(gè)獨(dú)立的二維模態(tài)子空間.在每個(gè)獨(dú)立的模態(tài)子空間內(nèi),在給定參數(shù)不確定性范圍和干擾力矩范圍的情況下,設(shè)計(jì)變結(jié)構(gòu)控制控制器.通過(guò)仿真驗(yàn)證了控制算法的有效性;控制算法簡(jiǎn)單,易于實(shí)時(shí)完成,又具有較好的魯棒性
A coke oven represents a kind of controlled object with a full spectrum of closely coupled factors , such as distributed parameters , no - linearity , time - dependent change and multi - variable features . among them , the discharge header pressure and fan suction are key parameters , and also constitute strongly coupled variables with very close inter - relation , which are fulfilled by the way of regulating coal - feeding and the rate of primary air supply in practice 焦?fàn)t是一個(gè)分布參數(shù),非線性、時(shí)變、多變量緊密耦合的被控對(duì)象,其中集氣管壓力和鼓風(fēng)機(jī)吸力既是關(guān)鍵參數(shù),又是具有緊密關(guān)系的強(qiáng)耦合變量,它們均是通過(guò)調(diào)節(jié)給煤量和一次送風(fēng)量來(lái)實(shí)現(xiàn)控制的。
The main research work and contribution of this dissertation are as follows : l . a study of combustion of the furnace in high - speed - wire factory of tangshan steel company is made , and conclusion is acquired , that is the process is casual process of nonlinear and distributed parameter with big inertia , pure lag and disturbed by casual factors 本文的主要研究的內(nèi)容有如下幾個(gè)方面: 1研究了唐山鋼鐵公司高線廠加熱爐的燃燒情況,得出了結(jié)論,即其過(guò)程為大慣性、純滯后、受隨機(jī)干擾的非線性分布參量過(guò)程,為后繼的研究做了準(zhǔn)備。
For the first time this dissertation discusses the feasibility of data mining for the fields data of cfbb , analyses the preprocessing technology of sample data , introduces the application of clustering analysis , and finally completes the rule extraction by applying knowledge - based artificial neural network . considering distributed parameters , nonlinear , and long time lag system of cfbb , the theory of self - organizing neural fuzzy inference system is applied to the control system of cfbb , and enables control rules extraction on - line . the models of data mining and self - organizing ( fbnc - pnn controller ) are programmed , embedded to the control system of a 35 t / h cfbb in tsingtao , and finally improve the performance of cfbb effectively 本文還針對(duì)流化床鍋爐運(yùn)行的非線性嚴(yán)重、大滯后、不確定性大等特點(diǎn),研究了基于數(shù)據(jù)挖掘優(yōu)化的模糊神經(jīng)自組織控制策略在循環(huán)流化床控制系統(tǒng)中的應(yīng)用,使規(guī)則獲取可以在線進(jìn)行;并編制了數(shù)據(jù)挖掘模塊優(yōu)化自組織控制模塊,應(yīng)用到青島35t / h循環(huán)流化床鍋爐的控制系統(tǒng)中,提高了鍋爐的運(yùn)行水平和效率,取得了良好的效果。