摘要
针对航空发动机这一具有耦合和强非线性被控对象,采用基于带遗忘因子的最小二乘参数估计算法的最小方差多变量自校正控制,通过分析保证了闭环系统的可辨识性。仿真结果表明,控制器响应速度快,跟踪精度高,抗干扰和耦合能力强,估计参数能以较快的速度收敛。
Based on the least square estimation with forgetting factor μ,the multi-variable self-tuning control was proposed for aero-engines with strong nonlinearity. The control parameters were obtained from estimation directly. The closed-loop control system was identifiable through the analysis. The simulation results show that the system features the rapid response, the high precision and the ability to restrain disturbance and coupling and the estimated parameters converge quickly.
出处
《航空动力学报》
EI
CAS
CSCD
北大核心
2005年第5期868-872,共5页
Journal of Aerospace Power
关键词
航空、航天推进系统
航空发动机
多变量自校正控制
参数估计
最小二乘算法
可辨识性
aerospace propulsion system
aero-engine
multi-variable self-tuning control
parameter estimation
least square algorithm
identifiability
