论文部分内容阅读
针对目前航空发动机控制系统普遍采用Min-Max选择逻辑处理输出量约束的方法具有一定保守性的问题,设计了非线性模型预测控制器,提出在非线性序列二次规划(SQP)算法中加入罚函数实现航空发动机输出量约束管理.仿真结果表明:无论是否触及输出量约束限,非线性模型预测控制器都比Min-Max控制逻辑动态响应更快,在达到限制线时更加明显,此时调节时间从1.16s下降到0.82s,且几乎没有超调量.
Aiming at the problem that the Min-Max selection logic is generally used to control the output constraint in the current aero-engine control system, a conservative model is proposed. A non-linear model predictive controller is proposed and a penalty is added to the nonlinear quadratic programming (SQP) algorithm Function to achieve aeroengine output constraint management.The simulation results show that the nonlinear model predictive controller is more dynamic than the Min-Max control logic regardless of whether the constraint on output is touched or not, and becomes more obvious when the limit line is reached. At this time, The time dropped from 1.16s to 0.82s with almost no overshoot.