In fact, dynamic models of course channels of small unmanned helicopters with different types and different parameters are different, and the establishment of course channel model is complex. It is necessary to research free model control methods without relying on the mathematical models. As one of the most important methods in model free control fields, intelligent control method has drawn extensive attention of scholars. But it is in the stage of theory research, and the actual application is not much. This paper tries a design of course channel controller of helicopters with the intelligent control method. Depending on the observer performance, the paper puts forward the model free selfadaptive control-filtration backstepping control method for the marine power system. The two developing model free self-adaptive backstepping control command filters mainly solve three problems.The simulation results show that this method not only ensures the stability of the closed-loop control system of the control marine electric power system, but also can determine the speed state and the unknown dynamic model.
목차
Abstract 1. Problem Posing 1.1. Input-Output Feedback Linearization 1.2. Higher-Order Neural Network Model 2. Dynamic Model Identification 3. Controller Design 3.1. Output-Feedback Control 3.2. The Design of Supervision Controller 4. Simulation and Verification 5. Conclusion Acknowledgment References
키워드
state observerfree modelintelligent controlbacksteppingcontrol filter
저자
Hong cheng Zhou [ Institute of Information, JinLing Institute of Technology, Nanjing 211169, China ]
Juan Yang [ Institute of Information, JinLing Institute of Technology, Nanjing 211169, China ]
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.9 No.8