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船舶航向保持变论域模糊–最小二乘支持向量机复合控制
引用本文:刘胜,王宇超,傅荟璇.船舶航向保持变论域模糊–最小二乘支持向量机复合控制[J].控制理论与应用,2011,28(4):485-490.
作者姓名:刘胜  王宇超  傅荟璇
作者单位:哈尔滨工程大学,自动化学院,黑龙江,哈尔滨,150001
基金项目:国家自然科学基金资助项目(60704004); 中央高校基本科研业务费专项资金资助项目(HEUCFZ1025, HEUCFR1009).
摘    要:针对船舶航向运动具有强非线性,并受各种不确定随机干扰的作用,提出了基于最小二乘支持向量机与变论域模糊逻辑的船舶航向保持复合控制方案,该控制方案利用最小二乘支持向量机良好的非线性映射能力建立船舶操纵系统的逆动力学模型,引入协调控制因子,与变论域模糊控制复合形成控制闭环,提高控制系统的控制精度和鲁棒性.仿真结果表明,本文所设计的航向保持控制系统效果良好,对海情的变化具有较好的自适应能力.

关 键 词:船舶航向保持  模糊控制  变论域  最小二乘支持向量机
收稿时间:2010/3/28 0:00:00
修稿时间:2010/7/23 0:00:00

Variable universe fuzzy-least squares support-vector-machine compound control for ship course-keeping
LIU Sheng,WANG Yu-chao and FU Hui-xuan.Variable universe fuzzy-least squares support-vector-machine compound control for ship course-keeping[J].Control Theory & Applications,2011,28(4):485-490.
Authors:LIU Sheng  WANG Yu-chao and FU Hui-xuan
Affiliation:College of Automation, Harbin Engineering University,College of Automation, Harbin Engineering University,College of Automation, Harbin Engineering University
Abstract:A compound control strategy based on least squares support-vector-machine(LSSVM) inverse control and variable universe fuzzy control(VUFC) is proposed for a nonlinear process of ship motion subjected to random disturbances. This method utilizes the nonlinear mapping merit of the support vector machine inverse dynamic model and combines the fuzzy control to form a closed-loop control; it improves the control precision and guarantees the robustness by the coordination factor. The simulation results validate that the compound control algorithm has a high performance in ship course-keeping, and good adaptive ability in various ocean conditions.
Keywords:ship course-keeping  fuzzy control  variable universe  least squares support-vector-machine
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