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模糊自适应方法在垃圾焚烧炉温度控制系统中的应用 被引量:7

Application of Adaptive Fuzzy Control Method in Combustion Temperature Process Control System of Incinerator
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摘要 垃圾焚烧炉的运行过程受众多不确定性因素的影响,垃圾焚烧过程的不稳定将导致产生大量新的有害物质,随着人们对垃圾焚烧过程中二次污染问题的日益关注,如何控制垃圾焚烧温度的稳定以减少二次污染的发生已经成为一个重要的研究方向。应用模糊自适应控制策略对垃圾焚烧炉温过程进行控制,并对该控制策略进行了仿真。仿真结果和应用表明:模糊自适应方法具有良好的控制效果,是解决垃圾焚烧过程炉温不稳定的有效途径。 There are many factors which affect the combustion process of incinerators and under the unstable process, it will generate new emissions. How to control the process of the combustion in the incinerators and reduce the emissions from the process has become an important research subject. In this paper, the adaptive fuzzy control strategy is used to stabilize the combustion temperature. From the simulation results and application, we can make a conclusion that the adaptive control strategy with the adaptive factors is a good method to solve the problem of the incineration temperature control objective. Figs 6 and refs 6.
出处 《动力工程》 CAS CSCD 北大核心 2004年第3期366-369,410,共5页 Power Engineering
基金 国家自然科学基金资助项目(50276019)
关键词 自动控制技术 垃圾焚烧炉 自适应控制 模糊控制 autocontrol technique incinerator adaptive control fuzzy control
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参考文献11

  • 1Leskens M, Van Kessel L B M, Van den Hof P M J. MIMO closed-loop identification of an MSW incinerator [J]. Control Engineering Practice, 2002, (10): 315-326.
  • 2Papadakis S E. Theocharis J B. A GA-based fuzzy modeling approach for generating TSK models[J]. Fuzzy Sets anti Systems, 2002, (131): 121-152.
  • 3Martin Fischer, ()liver Nelles. Roll Isermann. Adaptive predictive control of a heat exchanger based on a fuzzy model [J].Control Engineering Practice, 1998, (6): 259-269.
  • 4Padmanabhan K T, Bowman C T, Powell J D. An adaptive optimal combustion control strategy [J]. Combustion and Flame, 1995, (100): 101-110.
  • 5龚佰勋,袁宏伟,曹学义,陈红忠,罗国鹏,沈凯,董统永,陆继东.垃圾焚烧稳定性控制研究[J].电站系统工程,2003,19(1):55-57. 被引量:17
  • 6李士勇.模糊控制.神经网络和智能控制论[M].哈尔滨:哈尔滨工业大学出版社,1996..
  • 7Leskens M, VanKesselLBM, Van denHof PM J. MIMO closed-loop identification of an MSW incinerator [J]. Control Engineering Practice, 2002, (10): 315-326.
  • 8Papadakis S E, Theocharis J B. A GA-based fuzzy modeling approach for generating TSK models [J]. Fuzzy Sets and Systems, 2002, (131): 121-152.
  • 9Martin Fischer, Oliver Nelles, Rolf Isermann. Adaptive predictive control of a heat exchanger based on a fuzzy model [J].Control Engineering Practice, 1998, (6): 259-269.
  • 10Padmanabhan K T, Bowman C T, Powell J D. An adaptive optimal combustion control strategy [J]. Combustion and Flame, 1995, (100): 101-110.

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