무추력 비행체를 대상으로 한 적응 통합 유도제어기 설계Integrated Guidance and Control Design Based on Adaptive Neural Network for Unpowered Air Vehicle
- Other Titles
- Integrated Guidance and Control Design Based on Adaptive Neural Network for Unpowered Air Vehicle
- Authors
- 김부민; 성덕용; 김병수; 성재민
- Issue Date
- 2009
- Publisher
- 제어·로봇·시스템학회
- Keywords
- backstepping; neural network; output feedback
- Citation
- 제어.로봇.시스템학회 논문지, v.15, no.1, pp 15 - 22
- Pages
- 8
- Indexed
- SCOPUS
KCI
- Journal Title
- 제어.로봇.시스템학회 논문지
- Volume
- 15
- Number
- 1
- Start Page
- 15
- End Page
- 22
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/27007
- ISSN
- 1976-5622
- Abstract
- The guidance controller of the conventional aircraft consists of inner-loop (autopilot) and outer-loop (guidance). If the guidance controller can be designed as an integrated guidance and control (IGC), the various advantages exist. The integrated guidance and control formulation can compensate for the effect of autopilot lag. An integrated approach also helps avoid the iterative procedure involved in tuning the guidance and autopilot subsystems, if designed separately. Integrated design is also less susceptible to saturation and stability problems. This paper presents an approach to IGC design for the unpowered air vehicle with the only flaperon using a combination of adaptive output feedback inversion and backstepping techniques. Adaptive neural networks are trained online with available measurements to compensate for unmodeled nonlinearities in the design process.
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