Design of Yaw Angular Velocity Controller for Anti-Torpedo Torpedo Based on Bank-to-Turn
-
摘要: 反鱼雷鱼雷(ATT)的机动性对于其成功拦截来袭鱼雷的概率有着重要作用, 而随着ATT机动性的提高, 对其控制的难度也越来越大, 这就对ATT的控制器设计提出了更高的要求。可以选用倾斜转弯(BTT)控制方式来提高ATT的机动性。研究了常规的比例-积分-微分(PID)控制, 智能PID控制, 预测函数控制(PFC)和模糊自适应PID控制, 并将它们分别应用于ATT的偏航角速率控制。仿真结果表明, 相对常规PID控制, 智能PID控制、PFC和模糊PID控制时, 系统控制过程平滑、无超调, 系统响应快速、稳定、准确, 且结果简单, 实用性强。相比较而言, PFC相对智能PID控制和模糊PID控制响应速度更快, 而且计算量小, 更适应ATT偏航角速率控制系统的快速响应要求。Abstract: To enhance maneuverability of anti-torpedo torpedo(ATT), a new yaw angular velocity controller for ATT is designed by analyzing and adopting conventional PID control, intelligent PID control, predictive functional control(PFC), and fuzzy adaptive PID control, respectively based on bank-to-turn(BTT) control mode. Simulation results show that, com-pared with conventional PID control, intelligent PID control, PFC and fuzzy adaptive PID control make system control process smoother, faster and more accurate without overshoot. Particularly, PFC is more suitable for yaw angular velocity control of ATT because of its fastest response and least calculation.
-
Key words:
- anti-torpedo torpedo(ATT) /
- bank-to-turn(BTT) /
- maneuverability /
- yaw angular velocity /
- controller
-
[1] 刘兴堂. 导弹制导控制系统分析、设计与仿真[M]. 西安: 西北工业大学出版社, 2006: 33-135. [2] 张靖南, 赵兴锋, 郑志强. BTT导弹的发展现状与趋势[J]. 飞航导弹, 2006, 36(10): 37-43. [3] 孟秀云. 导弹制导与控制系统原理[M]. 北京: 北京理工大学出版社, 2003. [4] 高璇, 周徐昌, 潘逊. 基于BTT的反鱼雷鱼雷控制技术[J]. 兵工自动化, 2010, 29(10): 79-81.Gao Xuan, Zhou Xu-chang, Pan Xun. Control Technologies of Anti-Torpedo Torpedo Based on BTT[J]. Ordnance Indus-try Automation, 2010, 29(10): 79-81. [5] 高璇, 周徐昌, 沈建森, 等. 基于BTT的反鱼雷鱼雷横向-横滚操纵性研究[J]. 舰船科学技术, 2011, 33(5): 94-97.Gao Xuan, Zhou Xu-chang, Shen Jian-sen, et al. Research on Roll Maneuverability of ATT Based on BTT[J]. Ship Science and Technology, 2011, 33(5): 94-97. [6] Gao X, Zhou X C, Pan X. Roll Stability of ATT Based on BTT[C]//2011 3rd International Workshop on Intelligent System and Applications. 2011(1): 98-101. [7] 严卫生. 鱼雷航行力学[M]. 西安: 西北工业大学出版社, 2005. [8] 邱道尹, 张健, 谢俊明, 等. 基于单神经元的自适应PID控制系统设计及仿真[J]. 华北水利水电学院学报, 2011, 32(1): 58-60.Qiu Dao-yin, Zhang Jian, Xie Jun-ming, et al. Design and Simulation of Self-adaptive PID Control System Based on Single Neuron[J]. Journal of North China Institute of Water Conservancy and Hydroelectric Power, 2011, 32(1): 58-60. [9] 陶永华. 新型PID控制及其应用[M]. 北京: 机械工业出版社, 2003. [10] 刘金琨. 先进PID控制MATLAB仿真[M]. 北京: 电子工业出版社, 2004. [11] 王亦平, 杜一平, 刘影, 等. 基于智能PID的鱼雷控制算法探讨[J]. 鱼雷技术, 2005, 13(4): 26-28.Wang Yi-ping, Du Yi-ping, Liu Ying, et al. A Torpedo Control Algorithm Based on Intelligent Proportional Integrative De-rivative[J]. Torpedo Technoloty, 2005, 13(4): 26-28. [12] 刘超, 夏英华, 何海斌, 等. 基于模糊神经网络的非线性系统预测函数控制研究[J]. 黑龙江工程学院学报, 2010, 24(3): 53-57.Liu Chao, Xia Ying-hua, He Hai-bin, et al. Research on Pre-dictive Function Control of Nonlinear System Based on Fuzzy Neural Network[J]. Journal of Heilongjiang Institute of Technology, 2010, 24(3): 53-57. [13] 吴艳敏, 关英姿, 王福生, 等. 基于模糊自适应PID的转台位置控制系统设计[J]. 现代电子技术, 2008, 32(19): 102-104.Wu Yan-min, Guan Ying-zi, Wang Fu-sheng, et al. Design on Position Control in the Turntable System Based on Fuzzy Self-adaptive PID[J]. Modern Electronics Technique, 2008, 32(19): 102-104.
点击查看大图
计量
- 文章访问数: 1592
- HTML全文浏览量: 1
- PDF下载量: 619
- 被引次数: 0