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Study On Intelligent Integrated Optimal Control Technique And Application To Lead-Zinc Sintering Process

Posted on:2005-08-07Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y X DuFull Text:PDF
GTID:1118360125958068Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
The Lead-Zinc Imperial Smelting Process is one of the modern advanced methods of the Lead-Zinc smelting utilizing neoteric burning technology. As an important loop of ISP, imperial updrafted-sintering process has a direct influence on state of the smeltering furnace and output of Lead-Zinc. At present, for the laggard control techniques and the low-level automatization, the process optimal control has become the key problem to restrict the output and quality of the sinter. Since Lead-Zinc sintering process possesses the characteristics such as strong nonlinear, strong coupling, uncertain, time-varying, long time-delay, multi-constrained, neither the traditional control theory not simple intelligent technique can satisfy the demands of multi-target global optimal control. Thus, the thesis proposes an intelligent integrated optimal control technique, which solves the optimal control of state and output-quality in Lead-Zinc sintering process. The main study achievements include:(1) Intelligent integrated optimal control techniqueBased on the analysis of the characteristics of the Lead-Zinc sintering process and control problems, the basic frame of the intelligent integrated optimal control is proposed, which includes the three part of basic concept, integrated structure and system building. It is divided into three basic structures of series intelligent integrated, parallel intelligent integrated and nesting intelligent integrated. Thus, the key problems and techniques of the informatization, modelizaion, control optimization and industrialization to establish the intelligent integrated optimal control system are proposed.(2) State optimal control technique of fuzzy expert control and clustering grid algorithmAimed at the state real-time measure problem, the model of BTP and the temperature distribution model of waste gas are established. Aimed at the character of long time-delay, with the adoption of fuzzy clustering method, the integrated predictive model of synthetical permeability isestablished with combination of the neural network model of technics parameters and the neural network model of time series, and the integrated BTP predictive model is established with combination of the neural network model of technics parameters and the grey theory model of time series, which improves the precision of state predictive model effectively.The Lead-Zinc sintering process has a large number of fuzzy and uncertain informations and qualitative expert operation rules. The sintering materials are divided into three types of high quality, mid quality, low quality , and for the different-quality materials the state optimal values are decided respectively, by using fuzzy expert optimization rules. The strategy of fuzzy expert and clustering grid are adopted in order to find the state optimal control parameters, according to ahead predictive errors. The fuzzy expert control has the function to simulate the human experts optimization control, while the clustering grid control is an accurate strategy based on state predictive models. The whole optimization control algorithm possesses industrial validity and higher control precision, which resolves the state optimization control problem with multi-constrained, uncertain, nonlinear, characteristics.(3) output-quality optimal control technique of clustering searching , genetic algorithm and chaos optimizationAimed at the long time-delay characteristic and the measure problem of quantity and quality of sinters, the predictive models of quantity, Pb content, Zn content, S content, SiO2 content, and CaO content of sinter are proposed, by using the improved BP neural network.The penalty function method is used to transform the muti-target-constrained optimization problem to unlimited optimization problem. The parallel searching based on fuzzy clustering is used to realize the raw optimization, while the elitist preserved simple genetic algorithm and chaos optimization are used to realize the accurate optimization. The whole optimization control algorithm possesses the gl...
Keywords/Search Tags:Lead-Zinc sintering process, intelligent control, integrated modeling, integrated optimization, neural network, grey theory, fuzzy clustering, fuzzy expert control, grid method, genetic chaos optimization
PDF Full Text Request
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