| A NEW SYSTEM DYNAMIC EXTREMUM SELF-SEARCHING METHOD BASED ON CORRELATION ANALYSIS |
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| 引用本文： | 李嘉,刘文江,胡军,袁廷奇. A NEW SYSTEM DYNAMIC EXTREMUM SELF-SEARCHING METHOD BASED ON CORRELATION ANALYSIS[J]. 西安交通大学学报(英文版), 2003, 15(2) |
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| 作者姓名： | 李嘉 刘文江 胡军 袁廷奇 |
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| 作者单位： | Department of Automatic Control，Xi'an Jiaotong University，Department of Automatic Control，Xi'an Jiaotong University，Department of Automatic Control，Xi'an Jiaotong University，Department of Automatic Control，Xi'an Jiaotong University Xi'an 710049，China，Xi'an 710049，China，Xi'an 710049，China，Xi'an 710049，China |
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| 基金项目： | ThisworkwassupportedbytheNationalNaturalScienceFoundationofChina(No .6 0 1 74 0 30) |
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| 摘 要： | Inindustrialprocessesself searchingoptimumcontrolsystemshavebeenwidelyused ,becausetheydonotneedamathematicalmodel,whichhaveblockdiagram (seeFig .1) .Theprincipleistomakethecontrolsystemreachitsoptimumoperatingstatebycontinuousmeasuringandcontrolling.Thenec essaryconditionisthattheplantsmusthaveanex tremumcharacteristic[1 ] .Thekeyofself searchingoptimumcontrolishowtofindthesystemextremum pointautomati cally .Therearemainlytwokindsofself searchingmethods,whicharethecontinuoussearchingandthest…
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A NEW SYSTEM DYNAMIC EXTREMUM SELF-SEARCHING METHOD BASED ON CORRELATION ANALYSIS |
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| Li Jia,Liu Wenjiang,Hu Jun,Yuan Tingqi. A NEW SYSTEM DYNAMIC EXTREMUM SELF-SEARCHING METHOD BASED ON CORRELATION ANALYSIS[J]. Academic Journal of Xi’an Jiaotong University, 2003, 15(2) |
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| Authors: | Li Jia Liu Wenjiang Hu Jun Yuan Tingqi |
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| Affiliation: | Department of Automatic Control, Xi'an Jiaotong University, Xi'an 710049,China |
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| Abstract: | Objective To propose a new dynamic extremum self searching method, which can be used in industrial processes extremum optimum control systems, to overcome the disadvantages of traditional method. Methods This algorithm is based on correlation analysis. A pseudo random binary signal m sequence u(t) is added as probe signal in system input, construct cross correlation function between system input and output, the next step hunting direction is judged by the differential sign. Results Compared with traditional algorithm such as step forward hunting method, the iterative efficient, hunting precision and anti interference ability of the correlation analysis method is obvious over the traditional algorithm. The computer simulation experimental given illustrate these viewpoints. Conclusion The correlation analysis method can settle the optimum state point of device operating process. It has the advantage of easy condition , simple calculate process. |
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| Keywords: | dynamic extremum self searching correlation analysis pseudo random signal |
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