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Uneven distribution of the world's energy , the energy issue is the unavoidable problem of most countries . And subsequent long period of time , coal as a major source of energy in China will not change. Is still quite extensive use of coal-fired steam boiler to provide heat for many industries . Boiler combustion process is a very complex process , involving many parameters , many loop , the action is slow , and there is a parameter change , typically difficult to control the process . For a long time , the control of boiler combustion process is often independent closed-loop PID control strategy , largely ignored the phenomenon of coupling between the loop in the control process , but each circuit coupling between the phenomenon of objective existence . Can not completely eliminate the interactions between the loops , it is difficult to get the ideal control effect , serious or even not work . 20t / h coal-fired steam boiler , first introduced the main task of the process of coal - fired steam boilers and boiler combustion automatic control system to analyze the mechanistic model of the combustion process , the combustion process is very complex mechanism model , to achieve The simulation is very difficult. So then each of its steam pressure control loop , the oxygen content of the flue gas control loop and the furnace negative pressure control loop system analysis , the focus of the coupling relationship between the various circuit , step response method on the basis of identified each channel model . Finally, the use of traditional decoupling method to decouple the system , and achieved good results . The boiler combustion system is a time-varying system , the system parameters will change with changes in working conditions will , in turn fuzzy theory combined with the decoupling theory , design fuzzy decoupling controller and matlab / simulink environment the decoupling control process is simulated. The of fuzzy decoupling and traditional decoupling , the results showed in the case of changing the system object parameters , fuzzy decoupling output has maintained a fast response , small overshoot and steady-state error ; conventional solution coupled to the output dynamic response is not good, and even uncontrollable . Fuzzy Decoupling have better adaptability and robustness , but also proved the value of the fuzzy decoupling method used in this paper .
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