| 自适应PSO网络整定的航空发动机全程滑模控制 |
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| 引用本文： | 苗卓广,谢寿生,何秀然,王海涛,吴勇,白玉. 自适应PSO网络整定的航空发动机全程滑模控制[J]. 推进技术, 2011, 32(2): 220-224,234 |
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| 作者姓名： | 苗卓广 谢寿生 何秀然 王海涛 吴勇 白玉 |
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| 作者单位： | 1. 空军工程大学工程学院,陕西,西安,710038
2. 中国人民解放军94371部队,河南,郑州,450046 |
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| 摘 要： | 针对现代航空发动机是一个具有不确定性的强非线性系统,提出了一种基于自适应PSO网络整定的航空发动机全程滑模控制方法。设计了一类全程滑模面非线性函数,函数中含有变参数指数函数,其参数由一种新的自适应粒子群学习算法(PSO)结合RBF神经网络来整定。全程滑模控制保证了控制系统的全程鲁棒性,同时,由稳态误差收敛速度和滑模抖振幅度建立参数优化指标,用自适应PSO神经网络快速搜索当前的全局最优点。仿真结果表明,所设计的控制器取得了良好的效果,削弱了抖振。
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| 关 键 词： | 航空发动机 全程滑模控制 RBF神经网络 粒子群优化算法 |
| 收稿时间： | 2010-05-09 |
| 修稿时间： | 2010-09-10 |
Global sliding mode control for aeroengine based on PSO network |
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| MIAO Zhuo-guang,XIE Shou-sheng,HE Xiu-ran,WANG Hai-tao,WU Yong and BAI Yu. Global sliding mode control for aeroengine based on PSO network[J]. Journal of Propulsion Technology, 2011, 32(2): 220-224,234 |
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| Authors: | MIAO Zhuo-guang XIE Shou-sheng HE Xiu-ran WANG Hai-tao WU Yong BAI Yu |
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| Affiliation: | 1.Engineering Inst.,Air Force Engineering Univ.,Xian 710038,China; 2.Unit 94371 of the Chinese Peoples beration Army,Zhengzhou,450046,China) |
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| Abstract: | A method of global sliding mode control was put forward for aeroengine with uncertainty and strong nonlinearity based on self-adaptive PSO neural network.A kind of global sliding mode surface nonlinear function was designed,which included a variational exponent function,and the function parameters were adjusted by a adaptive particle swarm optimization(PSO) study arithmetic combined RBF neural network.The global sliding mode control assured control system global robustness.At the same time,the optimization ... |
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| Keywords: | Aeroengine Global sliding mode control(GSMC) RBF neural network Particle swarm optimization(PSO) |
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