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针对大射电望远镜馈源舱跟踪定位问题,提出一种自适应滑模控制方法.从线性化模型出发.将模型偏差、风载荷视为系统外部扰动,通过引入参数自适应机制,在线估计外部扰动并加以补偿.采用Lyapunov稳定性理论,推导了舱索系统的多输入多输出自适应滑模控制律.在此基础上,针对大射电望远镜50m缩尺模型,采用离散悬索模型和自适应滑模控制方法对舱索控制系统进行了仿真,并与传统的PID控制方法进行对比.结果表明,采用自适应滑模控制使跟踪误差减小到约32%,并提高了抗风扰能力. 相似文献
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该文在全面深入了解大射电望远镜FAST光机电一体化创新设计方案的设计思想和技术指标的基础上,针对悬索馈源系统为一非线性、时变、大滞后、多变量耦合系统,精确的数学模型难以建立,采用经典控制理论与现代控制理论进行系统的分析和设计比较困难,甚至无法获得比较理想的运行效果。因此,联系FAST50m模型的定位控制策略,提出了基于非线性跟踪微分器的插值模糊控制算法(TDIFLC),并以FAST50m模型的悬索馈源定位系统为控制对象,对其进行分析和数值仿真,仿真结果证明了此种控制算法的可行性和高效性。同时,它结构简单,易于工程实现。 相似文献
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超大型天线馈源舱柔索支撑结构动力学分析与跟踪控制 总被引:1,自引:0,他引:1
根据悬链线解析表达式推导出柔索两端固定时索端拉力与索长之间的关系,用于求解特定长度的驱动柔索对处于某一位姿的馈源舱作用力,在此基础上应用Newton-Euler法建立了超大型射电望远镜馈源舱柔索支撑系统的简化动力学模型.采用具有二次收敛性的Newton-Raphson迭代法进行求解,得到较快的求解速度以满足实时控制要求.针对该系统的非线性、慢时变、多变量耦合等特点,提出了一种自适应双模糊控制器来实现馈源舱轨迹跟踪.该控制器采用模糊推理完成两组控制器的平稳过渡.最后,通过仿真计算结果验证了该控制策略的有效性. 相似文献
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针对四旋翼飞行器轨迹跟踪问题中系统存在模型不确定和易受到外界扰动的情况,提出了基于切换函数的扩张状态观测器设计方法来对系统中的扰动进行估计,并将估计值与滑模控制器的设计相结合,实现了对系统中非匹配不确定性和匹配不确定性的抑制且实现了系统跟踪误差的一致最终有界.首先,根据变量间的耦合关系将飞行器系统模型分解为两个子系统模型,设计扩张状态观测器对子系统中的非匹配不确定性进行估计,并将估计值作为变量加入到切换函数的设计中;进而基于切换函数设计扩张状态观测器以估计经切换函数重构系统中的扰动,并在控制器中对扰动进行补偿.最后通过李雅普诺夫理论证明了控制系统的稳定性.通过仿真验证了本文提出的方法能够有效实现飞行器轨迹跟踪控制且能够抑止传统滑模控制的抖振现象. 相似文献
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针对欠驱动无人水下航行器(underactuated unmanned underwater vehicles,UUVs)三维轨迹跟踪控制问题,本文有别于传统反步法中基于视线法设计姿态角误差变量的思路,提出了一种定义虚拟速度误差变量的反步控制器设计方法,能够有效避免传统反步法控制律设计时存在的奇异值问题,简化了传统反步法复杂的计算过程;设计了欠驱动UUV的三维轨迹跟踪控制器,给出了系统的误差方程,基于Lyapunov稳定性理论证明了系统在定常外界扰动下的鲁棒性和稳定性;仿真结果表明本文提出的UUV三维轨迹跟踪反步控制方法收敛、有效,能够实现欠驱动UUV对时变三维轨迹的精确跟踪控制. 相似文献
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In this paper, a novel self‐tuning method of optimal PID control laws is proposed for both continuous‐time systems and discrete‐time systems. The controlled plant is assumed to be unknown except the system order (or system delay) and the direction of transmitting control input. Through the minimization of PID gains subject to the Lyapunov stability based reaching condition, the tuning of the three PID control gains is transformed to solve the inequality constraint optimization problem. An unknown SISO nonlinear system subject to a unit step input, and the tracking control problem of the piezoelectric actuator (PZA) with unknown dynamics are simulated. The simulation results show that the excellent tracking performance can be achieved. 相似文献
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In this paper, a new multivariable proportional-integral (PI) tuning strategy is developed and the advantage of the new design is illustrated in simulation on an internal combustion engine model. The multivariable control design technique developed here has disturbance rejection as its main objective rather than set-point tracking, which is the focus of most of the multivariable PI tuning techniques so far in the literature. The benefit of the new design is that it does not try to minimize cross couplings in the multivariable plant; instead it uses the cross couplings to achieve better disturbance rejection. The application of the control design method is in multivariable speed and air/fuel ratio control of a lean-burn natural gas engine to achieve smooth and effective idle speed regulation. When applied to a simulation model of the engine, the new PI tuning strategy effectively reduces speed undershoot during the application of a transient torque load during idle. 相似文献
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提出一种基于周期信号的迭代学习控制方法,并将其应用于电力逆变器,分析了跟踪误差沿迭代方向的收敛条件,给出了控制律的时域表达形式以及参数的确定方法.由于该方法理论上可实现跟踪误差收敛到零,因而使逆变器输出电压跟踪精度大幅提高.通过MATLAB/Simulink仿真,该方法的有效性得到验证;此外,与传统PID控制相比,仿真结果显示出该方法具有较好的负载适应能力以及优越的跟踪性能. 相似文献
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Chi‐Yi Tsai Xavier Dutoit Kai‐Tai Song Hendrik Van Brussel Marnix Nuttin 《Asian journal of control》2010,12(4):488-509
This paper presents a novel design of face tracking algorithm and visual state estimation for a mobile robot face tracking interaction control system. The advantage of this design is that it can track a user's face under several external uncertainties and estimate the system state without the knowledge about target's 3D motion‐model information. This feature is helpful for the development of a real‐time visual tracking control system. In order to overcome the change in skin color due to light variation, a real‐time face tracking algorithm is proposed based on an adaptive skin color search method. Moreover, in order to increase the robustness against colored observation noise, a new visual state estimator is designed by combining a Kalman filter with an echo state network‐based self‐tuning algorithm. The performance of this estimator design has been evaluated using computer simulation. Several experiments on a mobile robot validate the proposed control system. Copyright © 2010 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society 相似文献
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基于两点测温的发汗冷却自校正控制 总被引:3,自引:1,他引:2
针对一维固定边界发汗冷却系统的自校正控制问题,给出一种基实际观测的自校正控制算法,采用两点测温并根据热平衡关系确定气动加热面边界热流密度,由热平衡方程和热阻滞函数特性给出了自校正控制律。数据试验表明该方法可以取得良好的控制效果。 相似文献