Study On The Adaptive Control Strategy Of Incinerators And The Monitoring Model Of Heating Values

As a result both of the accelerating paces of technological development and of the rapidly increasing number of municipal solid waste (MSW) and ever shorter creating period, the cities of China are facing the great pressure of MSW. At present, incineration technique of MSW has been widely used as a new technique of decrement and resource. In the incineration of MSW, how to stabilize the burning process is a complex problem and has been laid store by researchers all over the world. In this paper, the research effort is focused on the auto control process of incineration system. Whereas, any attempt on basal research is not made in our country up to the present. Firstly, the existing and leading technologies used for the incineration treatment of MSW have been introduced. The advantages and shortages of each technology are also analyzed and evaluated. Based on the grate furnace technology, an incineration control strategy has been proposed. The feasibility of this strategy has been demonstrated under theoretical and experimental research. For this purpose, this study has been processed as the following aspects. In this thesis, the traditional strategies of incineration control have been introduced and the latest researches of the incineration control have been identified and assessed. The earlier research and the practice of the author have also been introduced. In order to get the proper control parameters, the incineration mechanics of MSW has been analyzed. With the classical fuzzy control method and the earlier research results, the adaptive control strategy of MSW has been created and this strategy algorithm has been formulated in detail. Based on the system simulation and experiment, this strategy has also been optimized and the optimized results show that the effect has been improved. In this thesis, the adaptive control strategy is compared with the routine control strategy by the simulation and field experiment. And the adaptive control strategy is also compared with the classical fuzzy control strategy of the earlier research. All the results of the simulation and experiment can prove that the adaptive control strategy is one kind of effectual method for the incineration process and the performance parameters of control system are also improved clearly. At present, in the incineration process of MSW, the heating values (HV) change widely and are difficult to measure. In order to add the HV information to the control process, an HV monitoring model has been built. The structure and the algorithm of this model have been formulated. Using the operating data, the model is optimized and the experiment results show that the model can reflect the integral tendency of HV. Moreover, the common HV models are analyzed roundly and the model built in this thesis is compared with the common models. The model built in this thesis is improved in application field, real-time identification, degree of accuracy and sampling method. The application foreground of the new model is also analyzed and how to apply this model to the control system is the priority research area of this discussion. Finally, general summary and conclusion of the thesis as well as further development direction about research of adaptive control strategy of incineration process and HV monitoring model are presented, and the context of on-going work is determined.