CAJ | 학술논문

软着陆过程的制导控制已经成为月球探测中一个具有挑战性的问题.神经网络与模糊逻辑都是处理不确定性(受控对象缺乏精确的数学描述或具有非线性的复杂性)问题的有效手段.本文根据终端着陆条件和性能指标,以由Pontryagin's极大值原理得出从近月点到月球表面的最优着陆轨迹为基础,给出一种基于模糊神经网络的非线性最优控制策略,使被控系统能够通过模糊神经网络的非线性映射能力实现某种最优的闭环制导控制.最后通过数学仿真验证了该控制策略的可行性与有效性.
연착륙과정적제도공제이경성위월구탐측중일개구유도전성적문제.신경망락여모호라집도시처리불학정성(수공대상결핍정학적수학묘술혹구유비선성적복잡성)문제적유효수단.본문근거종단착륙조건화성능지표,이유Pontryagin's겁대치원리득출종근월점도월구표면적최우착륙궤적위기출,급출일충기우모호신경망락적비선성최우공제책략,사피공계통능구통과모호신경망락적비선성영사능력실현모충최우적폐배제도공제.최후통과수학방진험증료해공제책략적가행성여유효성.
Optimal guidance for soft landing is a challenging problem in lunar exploration. The landing dynamic system, with large disturbances is highly nonlinear, uncertain. Neural network and fuzzy logic were effective tools, which could be used to handle those problems. In this paper, an optimum trajectory from perilune to lunar surface is derived in terms of Pontryagin's maximum principle, which is an open-loop way. Then, an optimal nonlinear control law based on an fuzzy neural network is presented,on the basis of the optimum trajectory, due to the nonlinear mapping function of the fuzzy neural network, which is a closed-loop way. The feasibility and validity of the control law were verified in a simulation experiment.