航空发动机的支持向量机自适应PID控制

Support vector machines PID adaptive control in aeroengine

The Engineering Institute, Air Force Engineering University, Xi'an 710038, China

摘要: 首先介绍了支持向量机(SVM)的原理, 建立了支持向量机回归(SVMR)模型.将SVMR与基于支持向量机的控制器相结合, 组成自适应PID支持向量机控制(SVMC)系统.最后用于某型航空发动机, 通过在选定的设计点处进行控制系统的设计, 利用支持向量机强大非线性映射能力、网络结构的自动最优化特性, 使控制系统在发动机偏离设计点工作时控制系统仍保持很好的性能.为通用非线性控制提供了一种新的控制思路.
- 航空、航天推进系统 /
- 支持向量机 /
- 航空发动机 /
- 自适应控制
Abstract: The support vector machine principal and the support vector machine return model are introduced first,and the self-adaptive PID support vector machines' controller is established.It makes use of support vector machines' strong nonlinear mapping ability,and network's structure is optimally auto-created.Finally, the aeroengine controller is designed at the design point.Application results in an aeroengine show that the controller possesses much better performance when the work of the aeroengine deviates from the design point.The presented control strategy introduces a new way for nonlinear control.
- aerospace propulsion system /
- support vector machines /
- aero-engine /
- self-adaptive control

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