Predictive sliding mode control for aero-engine based on RBF network
-
摘要: 针对航空发动机是一个不确定性的强非线性系统,借鉴预测控制的思想,提出了基于径向基函数RBF (Radical Basis Function)网络的航空发动机预测滑模控制.首先利用RBF网络建立航空发动机预测模型,进而得到滑模预测模型;其次在线修正网络参数实时反馈校正滑模预测模型,滚动优化求取控制量;然后采用另外一个RBF神经网络实现了全包线建模和控制;最后分析了控制系统的收敛性.仿真结果表明,所设计的控制器性能良好,能有效地抑制参数摄动和干扰的影响.Abstract: A method of predictive sliding mode control based on RBF network was put forward for aero-engine with uncertainty and strong nonlinearity. The method drew lessons from the ideology of predictive control. Predictive modal of aero-engine was established by using RBF network and sliding mode predictive modal was deduced. Sliding mode predictive modal was modified online by adjusting network parameters. And the control value was get by making rolling optimization. Full flight envelop control was made using another RBF network. The stability condition was analyzed. Simulation results show that the devised controller has good effect and restrains the influence of parameters perturbation and interfere.
-
Key words:
- aero-engine /
- sliding mode control /
- predictive control /
- RBF neural network /
- chattering
-
[1] Aznan E A, Neil M.Robust control analysis of a gas-turbine aeroengine[J].IEEE Transactions on Control Systems Technology, 1997, 5(2):178-188 [2] Yuan Xiaochuan, Guo Yingqing.Non-fully recovering LQG/LTR method and its application in aeroengine control[R].AIAA, 2007-5716, 2007 [3] Joanthan S L, Neerav S, Sowers T S.A demonstration of a retrofit architecture for intelligent control and diagnostics of a turbofan engine[R].NASA/TM-2005-214019, 2005 [4] 蔡开龙, 谢寿生.航空发动机多变量模糊滑模变结构模型跟踪控制[J].推进技术, 2008, 29(6):737-742 Cai Kailong, Xie Shousheng.Multiple variable fuzzy sliding mode variable structure model tracking control for aeroengine[J].Journal of Propulsion Technology, 2008, 29(6):737-742 (in Chinese) [5] Ha Q P, Nguyen Q H, Rye D C, et al.Fuzzy sliding mode controller with applications[J].IEEE Transaction on Industrial Electronics, 2001, 48(1):38-41 [6] Xiao Lingfei, Su Hongye, Chu Jian.Sliding mode prediction tracking control design for uncertain systems[J].Asian Journal of Control, 2007, 9(3):317-325 [7] Edwards C.A practical method for the design of sliding mode controllers using linear matrix inequalities[J].Automatica, 2004, 40(10):1761-1769 [8] 李惠峰, 王健, 孙文冲.基于遗传算法的高速飞行器滑模控制律设计[J].北京航空航天大学学报, 2009, 35(9):1144-1147 Li Huifeng, Wang Jian, Sun Wenchong.GA based design of sliding mode control law for hypersonic vehicle[J].Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(9):1144-1147 (in Chinese) [9] 宋立忠, 陈少昌, 姚琼荟.多输入离散时间系统滑模预测控制[J].电机与控制学报, 2005, 9(2):128-132 Song Lizhong, Chen Shaochang, Yao Qionghui.Sliding mode predictive control for multi-input discrete-time systems[J].Electric Machines and Control, 2005, 9(2):128-132 (in Chinese) [10] Xiao Lingfei, Su Hongye, Chu Jian.Sliding mode prediction based control algorithm for discrete time nonlinear uncertain coupled system[J].International Journal of Control, 2007, 80(10):1616-1625 [11] Mercedes P P, Cristina M C, Eduardo F C, et al.Application of predictive sliding mode controllers to a solar plant[J].IEEE Transactions on Control System Technology, 2008, 16(4):819-825 [12] Winston G G, Darine Z, Eduardo F C.Sliding mode predictive control of a solar air conditioning plant[J].Control Engineering Practice, 2009, 17(2):652-663 [13] 苗卓广, 谢寿生, 王磊, 等.航空发动机多模型预测滑模控制[J].推进技术, 2012, 33(3):472-477 Miao Zhuoguang, Xie Shousheng, Wang Lei, et al.Multi-model predictive sliding mode control for aero-engine[J].Journal of Propulsion Technology, 2012, 33(3):472-477 (in Chinese) [14] 孙彪, 孙秀霞, 陈琳, 等.基于幂次函数的离散滑模控制算法[J].控制与决策, 2011, 26(2):285-288 Sun Biao, Sun Xiuxia, Chen Lin, et al.Algorithm of discrete-time sliding mode control based on power-Function[J].Control and Decision, 2011, 26(2):285-288 (in Chinese) [15] 彭靖波.基于分布式控制的航空发动机先进控制算法研究[D].西安:空军工程大学, 2009 Peng Jingbo.The research of advanced control algorithm for aero-engine based on distributed control[D].Xi'an:Air Force Engineering University, 2009 (in Chinese)
点击查看大图
计量
- 文章访问数: 1267
- HTML全文浏览量: 133
- PDF下载量: 433
- 被引次数: 0