共查询到20条相似文献,搜索用时 15 毫秒
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神经网络模型参考自适应控制及其在带材板形控制系统中的应用 总被引:5,自引:0,他引:5
通过对某轧机液压弯辊系统特性的分析,提出了神经网络模型参考自适应控制策略,兼顾了系统的动态特性和静态特性,成功地解决了未知、不确定、非线性系统的辨识与控制问题;并将其用于液压弯辊系统仿真,结果表明该系统的性能良好,将会明显提高产品质量。 相似文献
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Wang Deming Ju PingCollege of Electrical Engineering Hohai University Nanjing ChinaLiu GuohaiSchool of Electrical andInformation Engineering Jiangsu University Zhenjiang China 《机械工程学报(英文版)》2004,17(4):602-605
In accordance with the characteristics of two motors system, the united mathematic model of two-motors inverter system with v/f variable frequency speed-regulating is given. Two-motor inverter system can be decoupled by the neural network invert system, and changed into a sub-system of speed and a sub-system of tension. Multiple controllers are designed, and good results are obtained. The system has good static and dynamic performances and high anti-disturbance of load. 相似文献
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Luo XiaobinYin GuofuChen KeHu Xiaobing Luo YangInstitute of CAD&CAM Sichuan University Chengdu China 《机械工程学报(英文版)》2003,16(3):334-336
The primary purpose is to develop a robust adaptive machine parts recognition system. A fuzzy neural network classifier is proposed for machine parts classifier. It is an efficient modeling method. Through learning, it can approach a random nonlinear function. A fuzzy neural network classifier is presented based on fuzzy mapping model. It is used for machine parts classification. The experimental system of machine parts classification is introduced. A robust least square back-propagation (RLSBP) training algorithm which combines robust least square (RLS) with back-propagation (BP) algorithm is put forward. Simulation and experimental results show that the learning property of RLSBP is superior to BP. 相似文献
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Gao Xiangdong Faculty of Mechanical Electrical Engineering Guangdong University of Technology Guangzhou China Huang Shisheng South China University of Technology 《机械工程学报(英文版)》2002,15(1):53-56
0 INTRODUCTION(The satisfied control of the overall weld process is not easily accomplished, largely due to the inadequacies of the available process models. Without exceptions, most welding control methods are based upon the analytical welding models. Although these models are derived directly from the physical laws that govern the main features of the weld pool, a number of assumptions are made to obtain the mathematical solutions and some variables are ignored due to the complexity of t… 相似文献
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柴油机燃烧系统故障的小波包神经网络模糊诊断法 总被引:11,自引:0,他引:11
喷油器堵塞和气门机构间隙异常是柴油机燃烧系统的常见故障,对其诊断十分重要,常规诊断方法效果不理想。文中提出一种将小波包分解、神经网络和模糊逻辑结合起来的诊断方法。运用小波包频带能量分解,不仅能得到中低频的燃烧爆发振动信号,也能得到中高频的气门落座信号;运用神经网络使故障诊断具有自适应、自学习的能力;将模糊逻辑用于判决中,使判决结果更可靠、意义更明确。用24台次柴油机故障模拟实验数据训练神经网络,效果良好。对现场使用的12台次柴油机故障诊断,有10台次诊断完全正确,取得了较满意的效果。 相似文献
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基于Backstepping的电液伺服系统多级自适应滑模控制 总被引:2,自引:0,他引:2
针对电液伺服系统的非线性特性、系统参数及外部负载的非匹配不确定性,在电液伺服系统的位置跟踪控制中,提出了基于Backstepping逆向递推技术的多级自适应滑模控制方法,应用Backstepping的逆向递推方法有效地解决了高阶系统的控制问题,并结合了自适应方法和滑模控制方法各自优良的抗干扰特点。仿真结果显示,该控制方法具有较强的鲁棒性及良好的跟踪性能。 相似文献
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针对定压网络静液传动及其控制系统的特点,提出了对其使用静态神经网络及具有自适应学习率的反传学习算法进行控制,给出了有关的相应结果。 相似文献
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机械加工过程模糊控制系统的模糊化新方法及其控制算法研究 总被引:5,自引:0,他引:5
提出并研究了一种模糊化新方法及其控制算法。该模糊化新方法,具有2m(m可以足够大)个通用的模糊变量且具有通用的隶属函数;由此所建立的模糊控制算法,具有4m2条推理规则,且这4m2条推理规则可由一个算式统一地显式地表述出来,因而具有通用、简洁等特点,可方便地应用于机械加工过程模糊控制系统中。 相似文献