9FA燃气轮机目前大部分使用的是DLN2.0燃烧系统,由于其燃烧模式和控制系统的原因造成运行过程中瞬时出现烟气的氮氧化物排放浓度超出国家环保局制定的排放标准;另外由于在燃烧模式切换的过程中和极端天气下,由于燃烧脉动或其他不确定因...9FA燃气轮机目前大部分使用的是DLN2.0燃烧系统,由于其燃烧模式和控制系统的原因造成运行过程中瞬时出现烟气的氮氧化物排放浓度超出国家环保局制定的排放标准;另外由于在燃烧模式切换的过程中和极端天气下,由于燃烧脉动或其他不确定因素,导致出现燃烧室损坏的问题,增加了运行风险和检修成本。本文通过对9FA燃气轮机排放烟气的氨氧化物浓度高产生的原因、燃烧脉动升高的原因以及最新的DLN2.6+燃烧器和Op Flex Auto Tune自动燃烧调整系统的工作原理,分析其环保经济效益。展开更多
The brief arts and crafts of the ordinary fourdrinier are introduced first. After the intractable points of paper basis weight (BW) control are analyzed, an autotuning PID/PI control algorithm based on relay feedback ...The brief arts and crafts of the ordinary fourdrinier are introduced first. After the intractable points of paper basis weight (BW) control are analyzed, an autotuning PID/PI control algorithm based on relay feedback identification is proposed, which has such advantages as simple parameter adjustment, little dependence on process model, strong robustness and easiness to implementation. And it is very suitable for controlling such processes as BW loop with large time delay.展开更多
The performance of distributed computing systems is partially dependent on configuration parameters recorded in configuration files. Evolutionary strategies, with their ability to have a global view of the structural ...The performance of distributed computing systems is partially dependent on configuration parameters recorded in configuration files. Evolutionary strategies, with their ability to have a global view of the structural information, have been shown to effectively improve performance. However, most of these methods consume too much measurement time. This paper introduces an ordinal optimization based strategy combined with a back propagation neural network for autotuning of the configuration parameters. The strat- egy was first proposed in the automation community for complex manufacturing system optimization and is customized here for improving distributed system performance. The method is compared with the covariance matrix algorithm. Tests using a real distributed system with three-tier servers show that the strategy reduces the testing time by 40% on average at a reasonable performance cost.展开更多
文摘9FA燃气轮机目前大部分使用的是DLN2.0燃烧系统,由于其燃烧模式和控制系统的原因造成运行过程中瞬时出现烟气的氮氧化物排放浓度超出国家环保局制定的排放标准;另外由于在燃烧模式切换的过程中和极端天气下,由于燃烧脉动或其他不确定因素,导致出现燃烧室损坏的问题,增加了运行风险和检修成本。本文通过对9FA燃气轮机排放烟气的氨氧化物浓度高产生的原因、燃烧脉动升高的原因以及最新的DLN2.6+燃烧器和Op Flex Auto Tune自动燃烧调整系统的工作原理,分析其环保经济效益。
基金This project was supported by the National Key Project in the Ninth Fivc-Year Plan(97-619-02-03).
文摘The brief arts and crafts of the ordinary fourdrinier are introduced first. After the intractable points of paper basis weight (BW) control are analyzed, an autotuning PID/PI control algorithm based on relay feedback identification is proposed, which has such advantages as simple parameter adjustment, little dependence on process model, strong robustness and easiness to implementation. And it is very suitable for controlling such processes as BW loop with large time delay.
基金Supported by the National Natural Science Foundation of China(No. 60803017)the National Key Basic Research and Development (973) Program of China (Nos. 2011CB302505 and 2011CB302805)supported by 2010-2011 and 2011-2012 IBM Ph.D. Fellowships
文摘The performance of distributed computing systems is partially dependent on configuration parameters recorded in configuration files. Evolutionary strategies, with their ability to have a global view of the structural information, have been shown to effectively improve performance. However, most of these methods consume too much measurement time. This paper introduces an ordinal optimization based strategy combined with a back propagation neural network for autotuning of the configuration parameters. The strat- egy was first proposed in the automation community for complex manufacturing system optimization and is customized here for improving distributed system performance. The method is compared with the covariance matrix algorithm. Tests using a real distributed system with three-tier servers show that the strategy reduces the testing time by 40% on average at a reasonable performance cost.
