| The Realization of the Most Economical and optimized Control System |
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| 作者姓名： | WUBin |
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| 作者单位： | WU BinSchool of Information and Control Engineering，Southwest University of Science and Technology，Mianyang 621002 P. R. China |
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| 基金项目： | Funded by the Foundation for University Key Teacher by the Ministry of Education. |
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| 摘 要： | In order to plow an access to low cost automation, the method to set up the most economical and optimized control system is studied. Such a system is achieved by adopting the field bus technologies based on net connection to form the hierarchical architecture and employing genetic algorithm to intelligently optimize the parameters of the topology structure at the field execution level and the parameters of a local controller. Praxis has proved that this realization can shorten the system development cycle, improve the system's reliability, and achieve conspicuous social economic benefits.
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| 关 键 词： | 控制系统 遗传算法 最优设计 |
The Realization of the Most Economical and optimized Control System |
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| WUBin.The Realization of the Most Economical and optimized Control System[J].Journal of Chongqing University,2002,1(1):56-60. |
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| Authors: | WU BinSchool of Information and Control Engineering Southwest University of Science and Technology Mianyang P R China |
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| Institution: | WU BinSchool of Information and Control Engineering,Southwest University of Science and Technology,Mianyang 621002 P. R. China |
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| Abstract: | In order to plow an access to low cost automation, the method to set up the most economical and optimized control system is studied. Such a system is achieved by adopting the field bus technologies based on net connection to form the hierarchical architecture and employing genetic algorithm to intelligently optimize the parameters of the topology structure at the field execution level and the parameters of a local controller. Praxis has proved that this realization can shorten the system development cycle, improve the system's reliability, and achieve conspicuous social economic benefits. |
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| Keywords: | Control system Intelligent control Optimized design Genetic algorithm |
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