The linear model of the aero gas turbine is effective in a small application range. According to this problem, the identification method for parameter uncertain linear model of aero gas turbine proposed. The identification problem is solved by calculating nonlinear programming. Considering the parameter uncertainty of the model is the critical point of this research during the optimization process. A parameter uncertain model of an aero gas turbine can be obtained, which has large use-range. This method is used for DGEN380 aero gas turbine. The two parameters, VDD and VE, are defined for describing error range. Compared with experimental data, the uncertain model of DGEN380 can simulate the real state of DGEN380 within 1% error range when ΔPLA<22%. Compared with another conventional method of identification (recursive least squares), the parameter uncertain model, established by the method of this research, has a broad application area through parameter uncertainty of the model.

航空燃气轮机的线性模型在较小的应用范围内有效。针对这一问题，提出了一种燃气轮机参数不确定线性模型的辨识方法。通过计算非线性规划解决了识别问题。在优化过程中，考虑模型的参数不确定性是本研究的关键。可获得具有较大使用范围的航空燃气轮机参数不确定模型。此方法用于DGEN380航空燃气轮机。定义了两个参数VDD和VE来描述误差范围。与实验数据进行比较，DGEN380的不确定模型可以在1％的误差范围内模拟DGEN380的真实状态时Δ PLA<22％。与另一种传统的识别方法（递归最小二乘）相比，通过本研究方法建立的参数不确定性模型通过模型的参数不确定性具有广阔的应用领域。