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1.
针对多变量、强耦合、纯迟延系统,提出一种模糊神经网络的解耦方法,结合遗传算法、将多变量系统解耦成单变量系统。传统解耦方法对于非线性系统、变结构系统以及耦合关系和耦合强度随时间和负载变化的复杂系统经常无能为力,而这种综合了模糊逻辑和神经网络优势的解耦方法,由于具有非线性和自学习能力,使其解耦性能不受影响,弥补了传统解耦方法的缺陷,对复杂系统有着较好的解耦能力。且该方法不需要建立精确的数学模型,易于实现。文章最后通过仿真实验验证了该模型的解耦效果。  相似文献   

2.
研究Lorenz混沌系统的同步控制问题,提出1种在多输入的情况下实现混沌同步的变结构控制算法.利用该算法设计的变结构同步控制律使得同步误差系统的运动在切换面上成为渐近稳定的滑动模态,从而较快的实现了混沌同步.通过对 Lorenz 混沌系统的理论分析和数值仿真,说明了该变结构同步控制策略的实用性和有效性.  相似文献   

3.
本文运用模糊控制和滑模控制相结合的方法对一类不确定非线性系统进行了深入研究。针对动态方程中控制系数与状态变量和时间变量有关的非线性时变系统,设计了带有状态变量和时间变量的新的模糊切换增益调节滑模控制器,给出了新的模糊滑模控制律,并证明了系统的稳定性。考虑到外部干扰是影响所研究系统稳定性的重要因素,本文运用调节模糊切换增益的技术,实现了对不确定外界扰动项的补偿。采用全局滑模面技术设计了滑模控制器,成功地避免了传统变结构控制器在到达阶段对不确定性的敏感性,增强了系统的鲁棒性。通过实例仿真,验证了本文所提出的控制方法不仅能够保证所研究的非线性系统是稳定的,还能够有效消除系统的抖振。  相似文献   

4.
水下机器人-机械臂系统的滑模自抗扰控制   总被引:1,自引:0,他引:1  
李小岗  王红都  黎明  刘鑫 《海洋科学》2020,44(9):130-138
针对水下机器人机械臂系统的强耦合、强非线性、复杂海洋多源干扰等因素影响,提出了滑模自抗扰控制器,将复杂系统模型转变为简单的积分串联系统,将内部参数不确定性、测量误差、建模误差和海洋多源干扰等扰动归结为总扰动,并采用线性扩张观测器对其进行估计并抵消。利用滑模控制器提高系统对参数摄动的不敏感性,增强控制系统的抗干扰性能,通过李雅普诺夫理论分析了控制系统的有界稳定性。仿真结果表明滑模自抗扰与传统滑模控制和自抗扰控制相比,能使水下机器人机械臂实现更好的轨迹跟踪,且系统具有更好的抗干扰能力。  相似文献   

5.
建立冬季结冰期封井系统耦合热力过程的物理模型;通过采用广义中点积分法则,给出时间离散化的耦合系统传导方程;提出适应于该热力偶合热传导问题的变分原理和有限元计算列式;讨论了冰晶体压力相关的相变温度变化对空间离散系统数值积分和应力计算的影响。采用该耦合热力模型对辽河油田封井井口的耦合冻胀问题进行计算。  相似文献   

6.
研究了一类线性关联滞后广义大系统的变结构控制综合问题.首先根据系统的结构和控制输入的特定形式,引入了1种新的受限系统等价分解形式,把每个子系统分解成2个低维的动态子系统:1个是不带控制项的线性关联微分差分系统,另1个是带有控制项的线性关联差分系统.然后设计了带有积分动态补偿器的切换函数, 给出了滑动模渐近稳定的充分条件.最后设计了可以保证系统的解的轨迹到达切换流形的多层分散变结构控制.这种控制对物理上分散等类型的线性关联滞后广义系统是合理的有效的.  相似文献   

7.
冰激结构振动的非线性分析   总被引:3,自引:1,他引:3  
金栋平  陈予恕 《海洋学报》1997,19(2):107-114
冰对结构的作用表现为冰的变形和破碎两个阶段,具有间隙非线性特性.考虑到这个特性,我们利用非线性分析方法建立了非线性的冰-结构相互作用的动力学模型,从理论上阐明,冰激柔性结构的振动是一种多频干扰、自激和强迫的耦合振动系统,并研究了试验中观察到的锁频现象的机理.本文得到的冰力计算公式可用于海洋工程结构的设计计算.  相似文献   

8.
本文研究了应用于离散变结构控制系统的一种新的趋近律方法,即一个二阶递推的趋近律方法。利用新趋近律方法设计了一个和当前时刻相关的前两个样本点的递推二阶控制器;基于Lyapunov函数法,利用提出的二阶趋近律方法证明了离散变结构控制系统的渐近稳定性和滑模的有限时间可达性;说明了此方法在不确定离散变结构控制系统中的稳定性研究中的可行性。新方法可大幅度消弱抖振,使系统运动最终趋于原点,还能使系统的准滑动模态保持步步穿越切换面,较好的改善了趋近过程。  相似文献   

9.
基于改进的哈丁模型建立了结构海床耦合系统的等效线性化动力分析模型。等效阻尼比是对土体进行等效线性化分析的重要组成,论文着重对土体阻尼对结构海床耦合系统的影响效应进行了考察。接触面分离力是运用滑动库仑摩擦模型进行接触面效应模拟的重要参数,在以前的工作基础上,文中提出了新的结构-海床接触面分离力模型并进行了考察,使其更符合实际情况  相似文献   

10.
为了探究钻井支持平台及生产平台组成的复杂多浮体耦合系统在近距离靠泊状态下的相对运动情况,基于多浮体三维势流理论及时域耦合分析方法,计算了半潜式钻井支持平台和张力腿(TLP)生产平台耦合系统在三种不同环境方向,即迎浪、斜浪、横浪下两平台的相对运动和平台间连接栈桥的运动响应,为平台运动分析和栈桥设计提供指导。并将计算结果与水池模型试验结果进行对比,验证了数值方法的可靠性。为进一步了解多浮体间耦合水动力的影响,计算了该近距离靠泊系统在不考虑浮体间水动力相互干扰下的运动响应。研究表明除在横浪作用外,其他环境条件下的多浮体水动力干扰作用明显,对浮体运动响应的影响不可忽略,且有效波高在小范围内变化时,平台间的相对运动幅值基本与其呈线性关系。  相似文献   

11.
This paper studies the vibration control of a jacket-type offshore platform with an active mass damper (AMD) and presents a feedforward and feedback optimal control (FFOC) law. The linearized Morison equation is employed to estimate the wave load. The offshore structure is simplified into a single degree of freedom (SDOF) system. The original vibration control is formulated as the optimal control for a linear discrete-time system affected by external disturbances with known dynamic characteristics but unknown initial conditions. We give the existence and uniqueness conditions of the FFOC law. Simulation results show that, compared with the classical state feedback optimal control (CFOC) law, the presented control scheme is more efficient in reducing the displacement and velocity of the offshore structure subjected to irregular wave forces.  相似文献   

12.
The high-speed supercavitating vehicle (HSSV) utilizes advanced technology that enables an underwater vehicle to reach its unprecedented high speed. The vertical motion control of the HSSV is challenging problem because of its complex dynamics with nonlinear planing force, parametric uncertainties, external disturbances, actuator saturation, and sensor noises. This paper deals with dynamical analysis and a robust H∞ loop-shaping synthesis with modified PID (proportional-integral-derivative) algorithm to control the dive plane maneuver of the HSSV. Typically, the control scheme has the low order structure and provides robustness against dynamic uncertainties, which can be implemented using the bilinear matrix inequality (BMI) optimization of an equivalent Schur formula. Simulation results show that the controlled vehicle system provides good performance and high robustness against uncertainties, ensuring no-overshoot and fast in time-domain responses. In addition, the control algorithm can decouple the dynamic interactions in the multi-input multi-output (MIMO) system, overcoming parametric uncertainty, planing force, and actuator saturation while minimizing the effect of the strong external disturbances and measurement noises.  相似文献   

13.
研究在外界持续干扰的动态特征已知的情况下,线性离散时滞系统的前馈-反馈最优控制问题。给出了前馈-反馈最优控制存在的唯一性条件,提出了前馈-反馈最优控制律的逐次逼近算法;通过截取最优控制序列解的有限项,得到系统的前馈-反馈次优控制律,并利用扰动观测器解决了其物理可实现问题。该算法容易实现,计算工作量小,且对外部持续扰动有良好的鲁棒性。仿真结果说明了算法的有效性。  相似文献   

14.
研究控制变量含有时滞的线性系统在外部正弦干扰下的最优减振预测控制问题。利用系统的控制向量和被控对象的预测输出向量 ,设计了 1种全维状态预测观测器。并将该状态观测器用于时滞控制系统的最优前馈 -反馈预测控制中。频域分析表明 ,应用该状态预测观测器可将闭环系统的时滞项移至系统闭环结构之外 ,从而其优化控制规律完全可以按无时滞系统进行设计。时域分析表明 ,设计的预测控制器对外部正弦干扰有较强的鲁棒性 ,得到的结果关于二次型平均性能指标是次优的  相似文献   

15.
This paper addresses the problem of simultaneous depth tracking and attitude control of an underwater towed vehicle. The system proposed uses a two-stage towing arrangement that includes a long primary cable, a gravitic depressor, and a secondary cable. The towfish motion induced by wave driven disturbances in both the vertical and horizontal planes is described using an empirical model of the depressor motion and a spring-damper model of the secondary cable. A nonlinear, Lyapunov-based, adaptive output feedback control law is designed and shown to regulate pitch, yaw, and depth tracking errors to zero. The controller is designed to operate in the presence of plant parameter uncertainty. When subjected to bounded external disturbances, the tracking errors converge to a neighbourhood of the origin that can be made arbitrarily small. In the implementation proposed, a nonlinear observer is used to estimate the linear velocities used by the controller thus dispensing with the need for costly sensor suites. The results obtained with computer simulations show that the controlled system exhibits good performance about different operating conditions when subjected to sea-wave driven disturbances and in the presence of sensor noise. The system holds promise for application in oceanographic missions that require depth tracking or bottom-following combined with precise vehicle attitude control.  相似文献   

16.
针对具有外部持续扰动的线性系统,研究前馈-反馈最优控制律的设计问题。给出了最优控制律的存在唯一性条件。并提出了最优控制律的设计算法。利用滤波器解决了前馈控制的物理不可实现问题。仿真结果表明,此算法易于实现,与传统的反馈最优控制相比对抑制外部扰动具有较强的鲁棒性。  相似文献   

17.
Marine structures, as key elements in the global energy network, constantly are subjected to harsh environmental loading conditions. Therefore, reliable yet efficient structural control mechanisms are required to ensure their safe functionality and structural stability. In the present work, a novel hybrid structural control element for marine structures has been designed in which the superelasticity effect of shape memory alloy (SMA) and damping controllability of magnetorheological fluid (MRF), as smart materials, have been combined. The novel system does not require huge external energy for activation and in addition, the system has the ability to be tuned for variable loading conditions. To show the functionality of the proposed control system, the performance of a simplified marine structure equipped with the present novel control system is evaluated by simulating the response of a sample structure under three scaled ground motions, namely, Christchurch, Imperial Valley, Parkfield. The results are compared to structures with the SMA-based system and structures with the MRF-based control system. It is observed that the present hybrid SMA-MRF control system significantly improves the performance of marine structures under seismic loadings.  相似文献   

18.
Li  Ming-zhu  Wang  Tian-zhen  Zhou  Fu-na  Shi  Ming 《中国海洋工程》2021,35(5):750-758

Marine current energy has been increasingly used because of its predictable higher power potential. Owing to the external disturbances of various flow velocity and the high nonlinear effects on the marine current turbine (MCT) system, the nonlinear controllers which rely on precise mathematical models show poor performance under a high level of parameters’ uncertainties. This paper proposes an adaptive single neural control (ASNC) strategy for variable step-size perturb and observe (P&O) maximum power point tracking (MPPT) control. Firstly, to automatically update the neuron weights of SNC for the nonlinear systems, an adaptive mechanism is proposed to adaptively adjust the weighting and learning coefficients. Secondly, aiming to generate the exact reference speed for ASNC to extract the maximum power, a variable step-size law based on speed increment is designed to strike a balance between tracking speed and accuracy of P&O MPPT. The robust stability of the MCT control system is guaranteed by the Lyapunov theorem. Comparative simulation results show that this strategy has favorable adaptive performance under variable velocity conditions, and the MCT system operates at maximum power point steadily.

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