控制理论(社会学)
趋同(经济学)
飞行包线
工程类
约束(计算机辅助设计)
敏捷软件开发
国家(计算机科学)
线性化
控制工程
反馈线性化
自适应控制
鲁棒控制
理论(学习稳定性)
控制(管理)
非线性系统
计算机科学
控制系统
航空航天工程
空气动力学
算法
物理
机械工程
软件工程
电气工程
量子力学
人工智能
机器学习
经济
经济增长
作者
H.B. Liu,Ningning Wang,Zheshuo Zhang,Hui Yin
标识
DOI:10.1109/tiv.2023.3317387
摘要
A tiltrotor aircraft (TRA) can both hover in the air (hover flight state) and cruise quickly (level flight state). Transition flight is a transitional state between these two flight states, during which tiltable rotors rotate, forming a unique state for TRA. Revolving of the tiltrotor shaft leads to strong nonlinearity and time-varying uncertainty, which weakens the stability of attitude control with linearization in transition flight. The safety of TRA is critical, but it can be easily harmed due to the weak control stability. This study is to regulate the TRA attitudes agilely and precisely simultaneously, by ensuring fast convergence speed and small convergence error, i.e., a prescribed transient and steady state performance (PTSSP). A constraint-based adaptive robust prescribed performance control (CARPPC) is proposed for TRA to follow the desired attitude while guaranteeing PTSSP, with no approximations or linearizations invoked. The desired attitudes and PTSSP are respectively described as equality and inequality servo constraints. A constraint-based control with state transformation is introduced to render both equality and inequality constraint-following. An adaptive law is established for online estimation of unknown uncertainty bounds to compensate time-varying uncertainty. Both theoretical proofs and simulation results demonstrated that CARPPC can realize agile and precise attitude control robustly in transition flight.
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