Optimum Control for Nonlinear Dynamic Radial Deformation of Turbine Casing with Time-Varying LSSVM
With the development of the high performance and high reliability of aeroengine, the blade-tip radial running clearance (BTRRC) of high pressure turbine seriously influences the reliability and performance of aeroengine, wherein the radial deformation control of turbine casing has to be concerned in...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/680406 |
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| author | Cheng-Wei Fei Guang-Chen Bai Wen-Zhong Tang Yatsze Choy |
| author_facet | Cheng-Wei Fei Guang-Chen Bai Wen-Zhong Tang Yatsze Choy |
| author_sort | Cheng-Wei Fei |
| collection | DOAJ |
| description | With the development of the high performance and high reliability of aeroengine, the blade-tip radial running clearance (BTRRC) of high pressure turbine seriously influences the reliability and performance of aeroengine, wherein the radial deformation control of turbine casing has to be concerned in BTRRC design. To improve BTRRC design, the optimum control-based probabilistic optimization of turbine casing radial deformation was implemented using time-varying least square support vector machine (T-LSSVM) by considering nonlinear material properties and dynamic thermal load. First the T-LSSVM method was proposed and its mathematical model was established. And then the nonlinear dynamic optimal control model of casing radial deformation was constructed with T-LSSVM. Thirdly, through the numerical experiments, the T-LSSVM method is demonstrated to be a promising approach in reducing additional design samples and improving computational efficiency with acceptable computational precision. Through the optimum control-based probabilistic optimization for nonlinear dynamic radial turbine casing deformation, the optimum radial deformation is 7.865 × 10−4 m with acceptable reliability degree 0.995 6, which is reduced by 7.86 × 10−5 m relative to that before optimization. These results validate the effectiveness and feasibility of the proposed T-LSSVM method, which provides a useful insight into casing radial deformation, BTRRC control, and the development of gas turbine with high performance and high reliability. |
| format | Article |
| id | doaj-art-25375985c2fb49bca9703ac5232a9629 |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-25375985c2fb49bca9703ac5232a96292025-02-03T06:11:29ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422015-01-01201510.1155/2015/680406680406Optimum Control for Nonlinear Dynamic Radial Deformation of Turbine Casing with Time-Varying LSSVMCheng-Wei Fei0Guang-Chen Bai1Wen-Zhong Tang2Yatsze Choy3School of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, ChinaSchool of Energy and Power Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, ChinaSchool of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, ChinaDepartment of Mechanical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong KongWith the development of the high performance and high reliability of aeroengine, the blade-tip radial running clearance (BTRRC) of high pressure turbine seriously influences the reliability and performance of aeroengine, wherein the radial deformation control of turbine casing has to be concerned in BTRRC design. To improve BTRRC design, the optimum control-based probabilistic optimization of turbine casing radial deformation was implemented using time-varying least square support vector machine (T-LSSVM) by considering nonlinear material properties and dynamic thermal load. First the T-LSSVM method was proposed and its mathematical model was established. And then the nonlinear dynamic optimal control model of casing radial deformation was constructed with T-LSSVM. Thirdly, through the numerical experiments, the T-LSSVM method is demonstrated to be a promising approach in reducing additional design samples and improving computational efficiency with acceptable computational precision. Through the optimum control-based probabilistic optimization for nonlinear dynamic radial turbine casing deformation, the optimum radial deformation is 7.865 × 10−4 m with acceptable reliability degree 0.995 6, which is reduced by 7.86 × 10−5 m relative to that before optimization. These results validate the effectiveness and feasibility of the proposed T-LSSVM method, which provides a useful insight into casing radial deformation, BTRRC control, and the development of gas turbine with high performance and high reliability.http://dx.doi.org/10.1155/2015/680406 |
| spellingShingle | Cheng-Wei Fei Guang-Chen Bai Wen-Zhong Tang Yatsze Choy Optimum Control for Nonlinear Dynamic Radial Deformation of Turbine Casing with Time-Varying LSSVM Advances in Materials Science and Engineering |
| title | Optimum Control for Nonlinear Dynamic Radial Deformation of Turbine Casing with Time-Varying LSSVM |
| title_full | Optimum Control for Nonlinear Dynamic Radial Deformation of Turbine Casing with Time-Varying LSSVM |
| title_fullStr | Optimum Control for Nonlinear Dynamic Radial Deformation of Turbine Casing with Time-Varying LSSVM |
| title_full_unstemmed | Optimum Control for Nonlinear Dynamic Radial Deformation of Turbine Casing with Time-Varying LSSVM |
| title_short | Optimum Control for Nonlinear Dynamic Radial Deformation of Turbine Casing with Time-Varying LSSVM |
| title_sort | optimum control for nonlinear dynamic radial deformation of turbine casing with time varying lssvm |
| url | http://dx.doi.org/10.1155/2015/680406 |
| work_keys_str_mv | AT chengweifei optimumcontrolfornonlineardynamicradialdeformationofturbinecasingwithtimevaryinglssvm AT guangchenbai optimumcontrolfornonlineardynamicradialdeformationofturbinecasingwithtimevaryinglssvm AT wenzhongtang optimumcontrolfornonlineardynamicradialdeformationofturbinecasingwithtimevaryinglssvm AT yatszechoy optimumcontrolfornonlineardynamicradialdeformationofturbinecasingwithtimevaryinglssvm |