摘要
针对变循环发动机包线范围大、自适应控制需求高的问题,在增广线性二次型调节器(ALQR)基础上,提出一种基于数据驱动的自适应ALQR(DA-ALQR)控制算法。构建了多变量系统自适应控制准则函数,以梯度下降法对控制器参数进行调整,借助基于数据驱动的动态线性化建模方法,递推进行输出对输入梯度的近似计算,实现了对ALQR控制参数的自适应调整。仿真结果表明,所设计的DA-ALQR控制器参数随发动机状态变化得到了有效调整,相较于ALQR控制算法,闭环系统动态性能得到了大幅度提升,推力在单外涵模式表现出较快的响应速度,在双外涵模式表现出更小的超调,转速同样表现出了超调减小和响应速度加快特性,验证了所提出方法的有效性。
To meet the requirement of wide flying envelope and satisfy the demand for high adaptive ability of the variable cycle engine(VCE)control system,a data-driven based adaptive augmented linear quadratic reg⁃ulator(DA-ALQR)control algorithm which is based on ALQR control structure is proposed.The adaptive control criterion function of the multi-variable system is constructed,and the controller parameters are adjusted by gradi⁃ent descent method.The data driven dynamic linearization modelling method is used to approximate the gradients of the outputs to the inputs recursively.The adaptive parameter adjustment of ALQR controller is realized.The simulation results show that the parameters of the DA-ALQR controller have been effectively adjusted as the en⁃gine state changes.Compared with the ALQR control algorithm,the dynamic performance of the closed-loop sys⁃tem has been greatly improved.The response of thrust is faster in the single bypass mode and achieves lower over⁃shoot in the double bypass mode.The response of rotor speed also shows reduction on overshoot and response time.Simulation results verify the effectiveness of the proposed DA-ALQR method.
作者
陈尚晰
李秋红
周婷
周文祥
陆桑炜
CHEN Shang-xi;LI Qiu-hong;ZHOU Ting;ZHOU Wen-xiang;LU Sang-wei(College of Energy and Power,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出处
《推进技术》
EI
CAS
CSCD
北大核心
2022年第8期366-377,共12页
Journal of Propulsion Technology
基金
国家科技重大专项(2017-Ⅴ-0004-0054)
国家自然科学基金(51976089)
关键词
变循环发动机
数据驱动控制
自适应控制
多变量系统
梯度下降法
Variable-cycle engine
Data-driven control
Adaptive control
Multivariable system
Gra⁃dient descent algorithm
作者简介
陈尚晰,硕士生,研究领域为航空发动机控制技术;通讯作者:李秋红,博士,副教授,研究领域为航空发动机建模与控制技术。
