空军工程大学学报2024，Vol.25Issue(2)：48-61,14.DOI:10.3969/j.issn.2097-1915.2024.02.006
基于事件触发机制和最小学习参数的FAHV指定时间收敛自适应控制
An Adaptive Control with FAHV Being at Convergence on Specified Time Based on Event Triggering Mechanism and Minimum Learning Parameter
摘要
Abstract
Aimed at the problems that the results of current adaptive control for Flexible Air-breathing Hypersonic Vehicle(FAHV)are capable of only achieving asymptotic error convergence to the preset en-velope,and the problems of computational explosion and excessive occupancy of airborne resources remain due to online updating of neural weights,an adaptive control method is proposed for FAHV specified time convergence based on event triggering mechanism and minimum learning parameters.Firstly,an improved preset performance control mechanism is proposed which does not depend on the exact initial error value and can ensure the convergence of the specified error time.Secondly,a relative threshold event-triggered neural network for FAHV interference identification is constructed.Finally,a control algorithm of relative threshold event triggering is designed,which is capable of effectively reducing the consumption of commu-nication resources of the closed-loop controller,and achieving good control accuracy on the basis of non-isoperiodic signal transmission.The simulation results show that the proposed method can track the height/speed reference signal on a specified time under conditions of low computing and transmission re-source consumption.关键词
吸气式高超声速飞行器/改进预设性能控制/相对阈值事件触发神经网络/相对阈值事件触发控制Key words
flexible air-breathing hypersonic vehicle/improved default performance control/relative threshold events trigger neural networks/relative threshold events trigger control分类
航空航天引用本文复制引用
李江苗,邵星灵,徐悦梅,邓瑞祥..基于事件触发机制和最小学习参数的FAHV指定时间收敛自适应控制[J].空军工程大学学报,2024,25(2):48-61,14.基金项目
国家自然科学基金(62173312) （62173312）
国家自然科学基金青年基金(61803348) （61803348）
