避免了求解参数化线性矩阵不等式(Parameterized linear matrix inequalities
PLMI)约束下的优化问题.针对某型早期退化涡扇发动机的仿真表明
该方法能以较高精度估计性能退化参数
且鲁棒性强
增益调度简单
具有一定的工程意义.
Abstract
To estimate the component performance parameters of early deteriorated areoengine
a linear parameter varying(LPV)filter was given for LPV model of a turbofan engine.Based on conceptions of affined parameter-dependent quadratic Lyapunov function and affined quadratic stability
the filter design method was converted into a normal linear matrix inequalities(LMI)constrained convex optimization by introducing the lemma of multiconvexity.Also the difficulties in solving the optimization problem with parameterized linear matrix inequalities(PLMI)constraint were avoided.Besides the convenience of filter gain scheduling
the accuracy and robustness of the filter were validated by simulation on parameter estimation for the early-deteriorated turbofan engine.