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- 검색키워드
- 저자 : Pingjuan Niu (검색결과 2 건)
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Design of Adaptive LED Supplemental Lighting System Based on LabVIEW
Pingjuan Niu,Yanyan Li,Huijuan Tian,Zhengxiao Su 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.10
With the global increase in energy prices and the urgent need to reduce CO2 emissions to the atmosphere, high energy usage is the main problem the greenhouse industry facing. Optimized control of supplemental lighting intensity and quality help to improve productivity and energy efficiency of greenhouse. In this paper,LED light source module is developed according to the design of light distribution of RRGB chip based on plants need for uniform lighting. Adaptive LED supplementary lighting system realize collection, storage and call of environmental data, and adaptive regulation of red, green, and blue light output based on combination of upper computer LabVIEW and controller STM32.PC based on LabVIEW monitor environmental parameters,and call or choose PPFD setting value of red, green, blue three bands of light based on expert database. The controller communicating with LabVIEW wirelessly through WiFi module, conducts real-time detection and adaptive regulation on photosynthetic photon flux density (PPFD) of red, green and blue bands according to PPFD setting value. This intelligent supplemental lighting system meets the requirement of plants for lighting environment and greatly saving energies through adaptive adjustment of PPFD of red, green and blue bands in environment according to the setting based on different supplemental lighting demands of different plants or the same plant in different growth stages for PPFD and light quality ratio.
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Xitong Guo,Xia Li,Shan Wang,Pingjuan Niu,Di Zhao,An Chang 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.11
Quadrotor unmanned aerial vehicle (UAV) is an ideal carrier for air transportation because of its simple structure and strong maneuverability that can complete vertical take-off and landing and hover operations. In recent years, the combination of quadrotor UAV and manipulator has attracted the most extensive attention. However, the quadrotor UAV will be significantly interfered with installing the manipulator, making control difficult. In this paper, a complete mathematical model of the manipulator quadrotor UAV is established. The model describes the interference of the manipulator and its operation to the quadrotor UAV. In order to suppress the interference caused by the manipulator, it is necessary to select the appropriate controller. Three model-free control algorithms are designed: proportional-integral-derivative (PID), sliding mode control based on RBF neural network (RBF-based SMC), and high order differential feedback controller (HODFC) and the derivation of RBF-based SMC and HODFC and the proof of closed-loop system are given. The PID controller has the worst anti-interference performance through the analysis of simulation experiments. On the other hand, RBF-based SMC has a time delay, HODFC has the strongest robustness to disturbance and excellent rapidity, which is an ideal method to control manipulator quadrotor UAV.
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