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作 者:Jihui Qiu Shaoping Shen Zhibin Li
机构地区:[1]Department of Automation,Xiamen University,Xiamen,China [2]Academy of Opto-Electronics,Chinese Academy of Sciences,Beijing,China
出 处:《International Journal of Intelligent Computing and Cybernetics》2017年第4期464-477,共14页智能计算与控制论国际期刊(英文)
基 金:This work is supported by National Natural Science Foundation(NNSF)of China under Grant Nos 61603320,61273199 and 61673327.
摘 要:Purpose–The purpose of this paper is to improve the control precision of the station-keeping control for a stratosphere airship through the feedforward-feedback PID controller which is designed by the wind speed prediction based on the incremental extreme learning machine(I-ELM).Design/methodology/approach–First of all,the online prediction of wind speed is implemented by the I-ELM with rolling time.Second,the feedforward-feedback PID controller is designed through the position information of the airship and the predicted wind speed.In the end,the one-dimensional dynamic model of the stratosphere airship is built,and the controller is applied in the numerical simulation.Findings–Based on the conducted numerical simulations,some valuable conclusions are obtained.First,through the comparison between the predicted value and true value of the wind speed,the wind speed prediction based on I-ELM is very accurate.Second,the feedforward-feedback PID controller designed in this paper is very effective.Originality/value–This paper is very valuable to the research of a high-accuracy station-keeping control of stratosphere airship.
关 键 词:Feedforward-feedback PID controller Incremental extreme learning machine Station-keeping control Stratosphere airship Wind speed prediction
分 类 号:V24[航空宇航科学与技术—飞行器设计]
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