摘要：针对带有未知虚拟控制增益和常参数不确定的非匹配不确定船舶航向非线性控制问题,设计了一种新的多滑模鲁棒自适应控制算法.该算法利用神经网络来逼近系统模型的不确定性;应用逐步递推的多滑模控制算法降低了控制器的复杂性;尤其是采用Nussbaum函数处理系统中符号未知的问题,避免了可能存在的控制器奇异值问题;然后借助Lyapunov稳定性分析方法,理论分析证明了所得闭环系统全局一致最终有界,且跟踪误差收敛到零.仿真试验结果表明,该方法具有较好的控制效果.

摘要：In considering the characteristic of a rudder,the maneuvers of a ship were described by an unmatched uncertain nonlinear mathematic model with unknown virtual control coefficient and parameter *** order to solve the uncertainties in the ship heading control,specifically the controller singular and paramount re-estimation problem,a new multiple sliding-mode adaptive fuzzy control algorithm was proposed by combining Nussbaum gain technology,the approximation property of fuzzy logic systems,and a multiple sliding-mode control *** on the Lyapunov function,it was proven in theory that the controller made all signals in the nonlinear system of unmatched uncertain ship motion uniformly bounded,with tracking errors converging to *** results show that the demonstrated controller design can track a desired course fast and *** also exhibits strong robustness peculiarity in relation to system uncertainties and disturbances.

摘要：A terminal sliding mode fuzzy control based on multiple sliding surfaces was proposed for ship course tracking steering, which takes account of rudder characteristics and parameter uncertainty. In order to solve the problem, the controller was designed by employing the universal approximation property of fuzzy logic system, the advantage of Nussbaum function, and using multiple sliding mode control algorithm based on the recursive technique. In the last step of designing, a nonsingular terminal sliding mode was utilized to drive the last state of the system to converge in a finite period of time, and high-order sliding mode control law was designed to eliminate the chattering and make the system robust. The simulation results showed that the controller designed here could track a desired course fast and accurately. It also exhibited strong robustness peculiarly to system, and had better adaptive ability than traditional PID control algorithms.

摘要：针对一类不确定的非线性系统,把自适应模糊控制和积分滑模控制相结合,提出了一种新的自适应积分滑模模糊控制策略。利用模糊逻辑逼近系统中的未知非线性函数,在滑模控制中引入了积分项,消除了常规滑模控制器被跟踪信号导数已知的限制;并且为了消除外界扰动的影响,引入扰动估计器的设计方法;同时基于Lyapunov方法导出了参数的自适应律,有效地克服了系统固有的抖振问题。理论分析证明了闭环系统的稳定性和跟踪误差收敛于零。用该控制器对同步发电机混沌振荡控制系统进行仿真研究,结果表明:与常规的滑模控制器相比,该控制器具有较强的鲁棒性和较好的跟踪性能。

摘要：本文针对恒电流电力推进系统中电机负载受到干扰时存在的超速问题,提出了应用观测器对负载干扰在控制输入中进行等效补偿的方法。引入神经网络对被控系统进行逆模型辨识,解决了负载干扰观测器的物理实现问题。理论分析表明通过观测器反馈可以对干扰进行完全补偿,仿真结果证明该方法有效地解决了电机负载受扰后的超速故障,保证了系统运行的安全性。

摘要：借助Lyapunov方法引入了参数的自适应律,并证明了该控制策略使得船舶运动非线性系统中所有信号有界,选取恰当的设计参数可以保证跟踪误差收敛到零。以某运煤船为例,在Simulink环境下进行仿真研究,仿真结果表明:所设计的控制器无论在标称参数下还是在参数摄动及存在外界扰动的情况下,都显示出较好的控制性能和较好的鲁棒性。

摘要：以参数大范围变化的导弹为研究对象,分别设计PID控制器和模糊控制器,并对PID控制器和模糊控制器组成的稳定回路进行仿真,仿真结果表明,PID控制器不能适应参数大范围的变化,表现为容易产生超调。简单模糊控制器对外界参数具有较好的适应性和鲁棒性,但存在稳态误差,通过采取模糊——积分并联混合,改善了模糊控制的稳态性能,提高了模糊控制的稳态精度。

摘要：基于方框图建模工具SIMULINK建立方波永磁无刷直流电机(BLDCM)的仿真模型,采用实时代码生成工具箱(RTW)自动生成模型的C语言源代码,在VC集成开发环境中开发BLDCM的仿真系统。应用该系统,可以采用不同的控制策略进行仿真验证,以设计有效的控制器。该方法为BLDCM控制系统的开发设计提供了一种新的思路。

摘要：此文介绍了一种舰船机舱环境数据监测系统的层次结构和软件设计,采用I-7000系列模块完成了整个系统的现场数据采集及网络传输功能,应用Visual Basics设计了软件系统,实现了以太网同RS-485控制网络融合通信的功能,使得整个系统简单并具有良好的开放性。

摘要：根据对恒电流双闭环控制系统的分析,提出了基于模糊控制理论的直流推进电机调速设计方法,建立了相应的模糊控制规则.仿真结果表明,通过在原控制系统速度调节器两端并入模糊控制器,系统的抗干扰能力和动态性能都有了明显提高.