摘要
针对未来高精度、快速响应和小型化的电动舵伺服控制系统的设计问题。通过分析直流舵伺系统的各个组成部分的功能及神经网络模糊控制器控制策略,使用DSP作为控制器构建出电动舵伺服系统,设计神经网络模糊控制算法并进行了半实物试验。试验结果表明,构建的小型化舵伺服系统有很好的动态品质和快速位置跟踪能力,同时,采用DSP控制器设计的数字电动舵伺服系统,满足了高精度与小型化的要求。
To design the electric rudder servo control systems with high-precision,fast response and miniaturization,the features of the rudder servo system and the neural network fuzzy controller are analyzed. DSP is used as controller to build the electric rudder servo system. The neural network fuzzy control algorithm is designed and the semi - physical tests are done. The results show that small rudder servo system has good dynamic quality and fast location tracking capabilities. The digital electric rudder servo system which uses DSP as controller meets the requirements of precision and miniaturization.
出处
《北京信息科技大学学报（自然科学版）》
2010年第1期42-45,共4页
Journal of Beijing Information Science and Technology University
基金
国家自然科学基金(60972118)
北京市学术创新人才(PHR200906131
PHR201006115)
现代测控技术教育部重点实验室
关键词
电动舵伺服控制系统
DSP控制器
模糊神经控制
位置跟踪
electric rudder servo control system
DSP controller
fuzzy and neural networks con- trol
position tracking
