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| Title: | Adaptive critic based neurocontroller for autolanding of aircraft with varying glideslopes | |
| Author (s): | Saini, G. Balakrishnan, S. N. | |
| Department/Lab Affiliations: | Mechanical & Aerospace Engineering | |
| Keywords: | adaptive critic aircraft aircraft landing guidance attitude control autolanding closed loop system closed loop systems glideslopes learning systems longitudinal dynamics neural networks neurocontrollers optimal control optimal control wind disturbances | |
| Issue Date: | 1997 | |
| Publisher: | Institute of Electrical and Electronics Engineers | |
| Citation: | Saini, G.; Balakrishnan, S. N.; Person, C. "Adaptive critic based neurocontroller for autolanding of aircraft with varying glideslopes" International Conference on Neural Networks,1997. 9-12 Jun 1997 Pages:2288-2293 vol.4 | |
| Abstract: | In this paper, adaptive critic based neural networks have been used to design a controller for a benchmark problem in aircraft autolanding. The adaptive critic control methodology comprises successive adaptations of two neural networks, namely `action' and `critic' networks until closed loop optimal control is achieved. The autolanding problem deals with longitudinal dynamics of an aircraft which is to be landed in a specified touchdown region in the presence of wind disturbances and gusts using elevator deflection as the control for glideslope and flare modes. The performance of the neurocontroller is compared to that of a conventional PID controller. Neurocontroller's capabilities are further explored by making it more generic and versatile in the sense that the glideslope angle can be changed at will during the landing process. Flight paths (trajectories) obtained for a wide range of glideslope angles in presence of wind gusts are compared with the optimal flight paths which are obtained by solving the linear quadratic regulator formulation using conventional optimal control theory | |
| Type: | Article - Conference proceedings text | |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. FULL COPYRIGHT INFORMATION: | |
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| title | Adaptive critic based neurocontroller for autolanding of aircraft with varying glideslopes | |
| contributor.author | Saini, G. | |
| contributor.author | Balakrishnan, S. N. | |
| contributor.deptlab | Mechanical & Aerospace Engineering | |
| subject | adaptive critic | |
| subject | aircraft | |
| subject | aircraft landing guidance | |
| subject | attitude control | |
| subject | autolanding | |
| subject | closed loop system | |
| subject | closed loop systems | |
| subject | glideslopes | |
| subject | learning systems | |
| subject | longitudinal dynamics | |
| subject | neural networks | |
| subject | neurocontrollers | |
| subject | optimal control | |
| subject | optimal control | |
| subject | wind disturbances | |
| date.issued | 1997 | |
| date.submitted | 2007 | |
| publisher | Institute of Electrical and Electronics Engineers | |
| identifier.citation | Saini, G.; Balakrishnan, S. N.; Person, C. "Adaptive critic based neurocontroller for autolanding of aircraft with varying glideslopes" International Conference on Neural Networks,1997. 9-12 Jun 1997 Pages:2288-2293 vol.4 | |
| identifier.pub.URI | ||
| description.abstract | In this paper, adaptive critic based neural networks have been used to design a controller for a benchmark problem in aircraft autolanding. The adaptive critic control methodology comprises successive adaptations of two neural networks, namely `action' and `critic' networks until closed loop optimal control is achieved. The autolanding problem deals with longitudinal dynamics of an aircraft which is to be landed in a specified touchdown region in the presence of wind disturbances and gusts using elevator deflection as the control for glideslope and flare modes. The performance of the neurocontroller is compared to that of a conventional PID controller. Neurocontroller's capabilities are further explored by making it more generic and versatile in the sense that the glideslope angle can be changed at will during the landing process. Flight paths (trajectories) obtained for a wide range of glideslope angles in presence of wind gusts are compared with the optimal flight paths which are obtained by solving the linear quadratic regulator formulation using conventional optimal control theory | |
| type | Article - Conference proceedings | |
| type.DCMIType | text | |
| type.status | Final version | |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
| rights.URI | ||
| date.accessioned | 2007-04-05T14:02:29Z | |
| date.available | 2007-04-05T14:02:29Z | |
| identifier.persist.URI | ||
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