Adaptively Receding Galerkin Optimal Control for a Nonlinear Boiler-Turbine Unit
The boiler-turbine unit is really a complex system in thermal power engineering due to its large-scale nonlinearity, unmeasured state, unknown disturbances, and constraints imposed on both controls and outputs. To design a controller with appropriate performance in above synthetical cases, this pape...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/8643623 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850223157465579520 |
|---|---|
| author | Gang Zhao Zhi-gang Su Jun Zhan Hongxia Zhu Ming Zhao |
| author_facet | Gang Zhao Zhi-gang Su Jun Zhan Hongxia Zhu Ming Zhao |
| author_sort | Gang Zhao |
| collection | DOAJ |
| description | The boiler-turbine unit is really a complex system in thermal power engineering due to its large-scale nonlinearity, unmeasured state, unknown disturbances, and constraints imposed on both controls and outputs. To design a controller with appropriate performance in above synthetical cases, this paper intends to propose an adaptively receding Galerkin optimal controller design method, in which, the mathematical dynamics of unit can be directly used as a predictive model without any linearization, and the unmeasured state in the predictive model is adaptively estimated using a predesigned state observer. With the help of a mathematical predictive model, optimal control law is then obtained based on a Galerkin optimization algorithm. Due to the application of the useful information measured at every sampling time instant, the proposed method can deal with the tracking problem with constraints rather than the stabilization problem that can be only done by the traditional Galerkin optimal control. Furthermore, it can also be easily extended to estimate and thus eliminate constant disturbances in an output channel using an independent model strategy. Some simulations suggest that satisfactory tracking performance can be achieved even when the unit experiences wide-range load change. |
| format | Article |
| id | doaj-art-5d710b227ad14cb9beb720b2c7faad6d |
| institution | OA Journals |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-5d710b227ad14cb9beb720b2c7faad6d2025-08-20T02:06:04ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/86436238643623Adaptively Receding Galerkin Optimal Control for a Nonlinear Boiler-Turbine UnitGang Zhao0Zhi-gang Su1Jun Zhan2Hongxia Zhu3Ming Zhao4School of Energy and Environment, Southeast University, Nanjing, Jiangsu 210096, ChinaSchool of Energy and Environment, Southeast University, Nanjing, Jiangsu 210096, ChinaSchool of Energy and Environment, Southeast University, Nanjing, Jiangsu 210096, ChinaSchool of Energy and Power Engineering, Nanjing Institute of Technology, Nanjing, ChinaResearch Institute of Yunnan Power Grid Co. Ltd., Kunming, Yunnan, ChinaThe boiler-turbine unit is really a complex system in thermal power engineering due to its large-scale nonlinearity, unmeasured state, unknown disturbances, and constraints imposed on both controls and outputs. To design a controller with appropriate performance in above synthetical cases, this paper intends to propose an adaptively receding Galerkin optimal controller design method, in which, the mathematical dynamics of unit can be directly used as a predictive model without any linearization, and the unmeasured state in the predictive model is adaptively estimated using a predesigned state observer. With the help of a mathematical predictive model, optimal control law is then obtained based on a Galerkin optimization algorithm. Due to the application of the useful information measured at every sampling time instant, the proposed method can deal with the tracking problem with constraints rather than the stabilization problem that can be only done by the traditional Galerkin optimal control. Furthermore, it can also be easily extended to estimate and thus eliminate constant disturbances in an output channel using an independent model strategy. Some simulations suggest that satisfactory tracking performance can be achieved even when the unit experiences wide-range load change.http://dx.doi.org/10.1155/2018/8643623 |
| spellingShingle | Gang Zhao Zhi-gang Su Jun Zhan Hongxia Zhu Ming Zhao Adaptively Receding Galerkin Optimal Control for a Nonlinear Boiler-Turbine Unit Complexity |
| title | Adaptively Receding Galerkin Optimal Control for a Nonlinear Boiler-Turbine Unit |
| title_full | Adaptively Receding Galerkin Optimal Control for a Nonlinear Boiler-Turbine Unit |
| title_fullStr | Adaptively Receding Galerkin Optimal Control for a Nonlinear Boiler-Turbine Unit |
| title_full_unstemmed | Adaptively Receding Galerkin Optimal Control for a Nonlinear Boiler-Turbine Unit |
| title_short | Adaptively Receding Galerkin Optimal Control for a Nonlinear Boiler-Turbine Unit |
| title_sort | adaptively receding galerkin optimal control for a nonlinear boiler turbine unit |
| url | http://dx.doi.org/10.1155/2018/8643623 |
| work_keys_str_mv | AT gangzhao adaptivelyrecedinggalerkinoptimalcontrolforanonlinearboilerturbineunit AT zhigangsu adaptivelyrecedinggalerkinoptimalcontrolforanonlinearboilerturbineunit AT junzhan adaptivelyrecedinggalerkinoptimalcontrolforanonlinearboilerturbineunit AT hongxiazhu adaptivelyrecedinggalerkinoptimalcontrolforanonlinearboilerturbineunit AT mingzhao adaptivelyrecedinggalerkinoptimalcontrolforanonlinearboilerturbineunit |