| 牛伟1，王继强2，3，王修奇2，3.基于FMI 的航空发动机非线性预测广义最小方差控制[J].航空发动机,2021,47(6):50-56 |
| 基于FMI 的航空发动机非线性预测广义最小方差控制 |
| Nonlinear Predictive Generalized Minimum Variance Control of Aeroengine Based on FMI |
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| DOI： |
| 中文关键词: 联合仿真 非线性控制 预测控制 航空发动机 |
| 英文关键词:co-simulation nonlinear control predictive control aeroengine |
| 基金项目:中央军委基础加强计划技术领域基金（2019-JCJQ-JJ-347）、航空基金（201919052001）资助 |
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| 中文摘要: |
| 针对航空发动机具有强非线性的特征和控制需求，结合被控对象对非线性预测广义最小方差控制方法进行了仿真分
析。创新性地引用功能模拟接口标准实现了航空发动机模型和数控燃油调节机构模型的联合仿真。简要介绍了广义预测控制方
法的思想，采用非线性预测广义最小方差控制方法对航空发动机进行控制策略研究，并对控制律中需要调节的参数选择进行了简
单的理论分析，通过仿真分析了每个参数取值对系统控制性能的影响，并确定了所选取的参数值。仿真结果表明：这种方法能够
满足航空发动机的控制需求，与原有PID控制器相比，能在略微降低控制品质的条件下改善执行机构的作动条件。 |
| 英文摘要: |
| Aiming at the strong nonlinearity characteristics and control requirements of aeroengine，the nonlinear predictive general?
ized minimum variance control method was analysed combined with the controlled object. The co-simulation of aeroengine model and numerical control fuel regulating mechanism model was realized by innovatively quoting the Functional Mock-up Interface（FMI）standard.The idea of generalized predictive control method was briefly introduced，and the control strategy of aeroengine was studied by nonlinear predictive generalized minimum variance control method. The simple theoretical analysis was carried out for the parameter selection which needed to be adjusted in the control law. The influence of each parameter value on the system control performance was analyzed by simulation，and the parameter value selected was determined. The simulation results show that this method can meet the control requirements of aeroengine，and can improve the operating conditions of the actuator under the condition of slightly lowering the control quality compared with the original PID controller. |
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