基于非线性模型预测控制方法的航空发动机约束管理

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. 

Limit management of aircraft engine based on nonlinear model predictive control method

In order to solve conservatism problem resulted from Min-Max selection structure currently implemented in aircraft engine control,a nonlinear model predictive controller was designed, by incorporating penalty functions into the nonlinear sequential quadratic programming (SQP) algorithm. Simulation results show that nonlinear predictive controller, whether outputs hit their limits or not, achieved faster response than Min-Max logic, particularly apparent when outputs reached their limits. In this case, the setting time is reduced from 1.16s to 0.82s, and almost no overshoot occurred.