Adaptive Neural Control of Hypersonic Vehicles with Actuator Constraints
An adaptive neural control method is proposed in this paper for the flexible air-breathing hypersonic vehicle (AHV) with constraints on actuators. This scheme firstly converts the original control problem with input constraints into a new control problem without input constraints based on the contro...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/1284753 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832554301214425088 |
|---|---|
| author | Changxin Luo Humin Lei Dongyang Zhang Xiaojun Zou |
| author_facet | Changxin Luo Humin Lei Dongyang Zhang Xiaojun Zou |
| author_sort | Changxin Luo |
| collection | DOAJ |
| description | An adaptive neural control method is proposed in this paper for the flexible air-breathing hypersonic vehicle (AHV) with constraints on actuators. This scheme firstly converts the original control problem with input constraints into a new control problem without input constraints based on the control input saturation function. Secondly, on the basis of the implicit function theorem, the radial basis function neural network (RBFNN) is introduced to approximate the uncertain items of the model. And the minimal-learning-parameter (MLP) technique is adopted to design the adaptive law for the norm of network weight vector, which significantly reduces calculations. Meanwhile, the finite-time convergence differentiator (FD) is introduced, through which the model state variables and their derivatives are accurately estimated to ensure the control effect. Finally, it is theoretically proved that the closed-loop control system is stable. And the effectiveness of the designed controller is verified by simulation. |
| format | Article |
| id | doaj-art-97c2f0a72ecc4d91b64fb27a3d424500 |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-97c2f0a72ecc4d91b64fb27a3d4245002025-02-03T05:51:55ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742018-01-01201810.1155/2018/12847531284753Adaptive Neural Control of Hypersonic Vehicles with Actuator ConstraintsChangxin Luo0Humin Lei1Dongyang Zhang2Xiaojun Zou3Air and Missile Defence College, Air Force Engineering University, Xi’an 710051, ChinaAir and Missile Defence College, Air Force Engineering University, Xi’an 710051, ChinaAir and Missile Defence College, Air Force Engineering University, Xi’an 710051, ChinaAir and Missile Defence College, Air Force Engineering University, Xi’an 710051, ChinaAn adaptive neural control method is proposed in this paper for the flexible air-breathing hypersonic vehicle (AHV) with constraints on actuators. This scheme firstly converts the original control problem with input constraints into a new control problem without input constraints based on the control input saturation function. Secondly, on the basis of the implicit function theorem, the radial basis function neural network (RBFNN) is introduced to approximate the uncertain items of the model. And the minimal-learning-parameter (MLP) technique is adopted to design the adaptive law for the norm of network weight vector, which significantly reduces calculations. Meanwhile, the finite-time convergence differentiator (FD) is introduced, through which the model state variables and their derivatives are accurately estimated to ensure the control effect. Finally, it is theoretically proved that the closed-loop control system is stable. And the effectiveness of the designed controller is verified by simulation.http://dx.doi.org/10.1155/2018/1284753 |
| spellingShingle | Changxin Luo Humin Lei Dongyang Zhang Xiaojun Zou Adaptive Neural Control of Hypersonic Vehicles with Actuator Constraints International Journal of Aerospace Engineering |
| title | Adaptive Neural Control of Hypersonic Vehicles with Actuator Constraints |
| title_full | Adaptive Neural Control of Hypersonic Vehicles with Actuator Constraints |
| title_fullStr | Adaptive Neural Control of Hypersonic Vehicles with Actuator Constraints |
| title_full_unstemmed | Adaptive Neural Control of Hypersonic Vehicles with Actuator Constraints |
| title_short | Adaptive Neural Control of Hypersonic Vehicles with Actuator Constraints |
| title_sort | adaptive neural control of hypersonic vehicles with actuator constraints |
| url | http://dx.doi.org/10.1155/2018/1284753 |
| work_keys_str_mv | AT changxinluo adaptiveneuralcontrolofhypersonicvehicleswithactuatorconstraints AT huminlei adaptiveneuralcontrolofhypersonicvehicleswithactuatorconstraints AT dongyangzhang adaptiveneuralcontrolofhypersonicvehicleswithactuatorconstraints AT xiaojunzou adaptiveneuralcontrolofhypersonicvehicleswithactuatorconstraints |