共查询到20条相似文献，搜索用时 15 毫秒
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A dynamic velocity feed-forward compensation control (DVFCC) approach with RBF neural network (RBF-NN) dynamic model identification was presented for the adaptive trajectory tracking of industrial robots.The proposed control approach combined the advantages of traditional feedback closed-loop position control and computed torque control based on inverse dynamic model.The feed-forward compensator used a nominal robot dynamics as accurate dynamic model and on-line identification with RBF-NN as uncertain part to improve dynamic modeling accuracy.The proposed compensation was applied as velocity feed-forward by an inverse velocity controller that can convert torque signal into velocity in the standard industrial controller.Then,the need for a torque control interface was avoided in the real-time dynamic control of industrial robot.The simulations and experiments were carried out on a gas cutting manipulator.The results show that the proposed control approach can reduce steady-state error,suppress overshoot and enhance tracking accuracy and efficiency in joint space and Cartesian space,especially under highspeed condition. 相似文献
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In this paper,a hybrid adaptive compensation control scheme is proposed to compensate the friction occurrence and other nonlinear disturbance factors that exist in the high-precision servo system.An adaptive compensation controller with a dual-observer structure is designed,while the LuGre dynamic friction model with non-uniform parametric uncertainties characterizes the friction torque.Considering the influence of the periodic disturbance torque and parametric uncertainties,fuzzy systems and a robust term are employed.In this way,the whole system can be treated as a simple linear model after being compensated,then the proportional-derivative (PD) control law is applied to enhancing the control performance.On the basis of Lyapunov stability theory,the global stability and the asymptotic convergence of the tracking error are proved.Numerical simulations demonstrate that the proposed scheme has potentials to restrain the impact of disturbance and improving the tracking performance. 相似文献
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张小青 《咸阳师范专科学校学报》2013,(6):21-24
电流滞环跟踪PWM控制技术能较好地得到三相对称正弦波电流,以电流滞环跟踪PWM控制器为内环,转速外环调节器选用PI调节器,建立异步电动机双闭环调速系统.建立系统主电路及控制电路进行仿真模型,主电路由异步电动机模块、电动机测量单元模块、逆变器模块、直流电源、负载模块等组成,控制电路由转速给定信号、转速调节器、电流给定信号及电流滞环跟踪控制器等组成.仿真得到电流、转速及电磁转矩曲线,验证了方法的有效性. 相似文献
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研究一类带有状态参数不确定项和外部扰动的T-S模糊系统.首先,在不确定项满足有界的条件下,通过设计模糊反馈控制器,对于给定的H∞跟踪性能ρ,使系统对于有界参考状态尽可能减少跟踪误差;其次,通过求解线性矩阵不等式,获得满足H∞跟踪性能ρ的控制器增益,并基于Lyapunov稳定性理论证明在此模糊反馈控制率下形成的闭环系统是二次稳定的.数值算例表明,该方法是可行的. 相似文献
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黄玉洁 《鞍山师范学院学报》2006,8(2):5-7
研究了离散广义双线性系统在有界能量外部输入作用下的无源控制问题,利用线性矩阵不等式和广义代数R iccati不等式,给出离散广义双线性系统容许且严格无源的充分条件,并且基于此条件给出存在状态反馈控制器,使得闭环系统容许且严格无源的充分条件,同时提出了相应的控制器设计. 相似文献
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Dynamic model and control strategy of parallel mechanism have always been a problem in robotics research. In this paper, different dynamics formulation methods are discussed first. A model of redundant driven parallel mechanism with a planar parallel manipulator is then constructed as an example. A nonlinear adaptive control method is introduced. Matrix pseudo-inversion is used to get a desired actuator torque from a desired end-effector coordinate while the feedback torque is directly calculated in the actuator space. This treatment avoids forward kinematics computation that is very difficult in a parallel mechanism. Experiments with PID together with the descibed adaptive control strategy were carried out for a planar parallel mechanism. The results show that the proposed adaptive controller outperforms conventional PID methods in tracking desired input at a high speed. 相似文献
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ＩＮＴＲＯＤＵＣＴＩＯＮＩｎｒｅｃｅｎｔｙｅａｒｓ,ｒｏｂｕｓｔｃｏｎｔｒｏｌｏｆｄｙｎａｍｉｃａｌｓｙｓｔｅｍｓｗｉｔｈｓｉｇｎｉｆｉｃａｎｔｕｎｃｅｒｔａｉｎｔｉｅｓｗａｓｗｉｄｅｌｙｒｅｓｅａｒｃｈｅｄ .Ｍａｎｙｎｅｗａｐｐｒｏａｃｈｅｓｈａｖｅｂｅｅｎｐｒｏｐｏｓｅｄｂａｓｅｄｏｎｓｏｍｅｄｅｓｉｒｅｄｐｅｒｆｏｒｍａｎｃｅｓ.ＴｈｅＬｙａｐｕｎｏｖｆｕｎｃｔｉｏｎｃｏｍｍｏｍｌｙｕｓｅｄｔｏｓｙｎ ｔｈｅｓｉｚｅｔｈｅｃｏｎｔｒｏｌｌｅｒ(Ｌｉ,1 996;Ｙａｌｌａｐｒａｇａｄａｅｔａｌ.,1 996… 相似文献
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ＩＮＴＲＯＤＵＣＴＩＯＮＣｏｎｓｉｄｅｒａｂｌｅａｔｔｅｎｔｉｏｎｈａｓｂｅｅｎｆｏｃｕｓｅｄｏｎｔｈｅｃｏｎｔｒｏｌｐｒｏｂｌｅｍｏｆｕｎｃｅｒｔａｉｎｄｙｎａｍｉｃａｌｎｏｎ ｌｉｎｅａｒｓｙｓｔｅｍｓｓｕｂｊｅｃｔｔｏｅｘｔｅｒｎａｌｄｉｓｔｕｒｂａ 相似文献
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Robust tracking controller for a class of uncertain nonlinear dynamical systems, which are linearizable by input-output feedback
with matching uncertainties, was investigated. In this study, uniform ultimate bound or uniformly asymptotic stability of
tracking errors were obtained by different choice of the control gain. A simulation to determine the effectiveness of the
proposed approach showed that the control performance was better than that of VSC (Variable Structure Control).
Project(69934030) supported by Natural Science Foundation of China. 相似文献
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ＮＴＲＯＤＵＣＴＩＯＮＡｆｔｅｒｍｕｃｈｒｅｓｅａｒｃｈａｎｄｓｏｍｅｓｕｃｃｅｓｓｆｕｌａｐ ｐｌｉｃａｔｉｏｎｓｏｆＡｒｔｉｆｉｃｉａｌＮｅｕｒａｌＮｅｔｗｏｒｋ (ＡＮＮ)ｔｏｃｏｎｔｒｏｌｓｙｓｔｅｍｓ,ＡＮＮｈａｓｂｅｃｏｍｅｏｎｅｏｆｔｈｅｉｍ ｐｏｒｔａｎｔｔｏｏｌｓｔｏｓｈｏｗｔｈｅｉｎｔｅｌｌｉｇｅｎｃｅｏｆｔｈｅｈｕ ｍａｎｂｒａｉｎ .ＳｉｎｃｅＡＮＮｃａｎｂｅｕｓｅｄｔｏｄｅｓｃｒｉｂｅａｎｙｎｏｎｌｉｎｅａｒｃｏｎｔｉｎｕｏｕｓｆｕｎｃｔｉｏｎ ,ｉｔｈａｓｄｒａｗｎｍｕｃｈａｔ… 相似文献
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针对一类可转化为“标准块控制形”的MIMO非线性系统,基于动态面控制技术,提出一种鲁棒自适应神经网络控制算法。采用径向基函数神经网络逼近不确定性模型,通过引入一阶滤波器,消除后推设计中由于反复对虚拟控制的求导而导致的复杂性问题,同时补偿项的引入可避免反馈线性化方法中可能出现的控制器奇异性问题,无需控制增益矩阵正定、可逆的条件。利用李亚普诺夫方法,证明了闭环系统是半全局一致终结有界,适当选取设计常数,跟踪误差可收敛到原点的一个小邻域内。计算机仿真结果表明此法的有效性。 相似文献
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This paper proposes an adaptive algorithm of neural nets with a special perturbation for a real time velocity control system
of a VVVF (Variable Voltage Variable Frequency) hydraulic elevator. The weight vector of the neural network is adaptively
adjusted by the LMS (Least Mean Square) with perturbation, so it is not necessary to know the nonlinear continuous function
of the control system. The nonlinear velocity control system is considered as the controller output function in an adaptive
controller model. The experimental results obtained from the VVVF hydraulic elevator showed that the neural nets controller
using the perturbation algorithm proposed are much stabler and faster in dynamic response compared with the conventional PID
(Proportion-Integration-Derivation) controller.
Project (69775013) Supported by NSFC 相似文献
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An adaptive terminal sliding mode control (SMC) technique is proposed to deal with the tracking problem for a class of high-order
nonlinear dynamic systems. It is shown that a function augmented sliding hyperplane can be used to develop a new terminal
sliding mode for high-order nonlinear systems. A terminal SMC controller based on Lyapunov theory is designed to force the
state variables of the closed-loop system to reach and remain on the terminal sliding mode, so that the output tracking error
then converges to zero in finite time which can be set arbitrarily. An adaptive mechanism is introduced to estimate the unknown
parameters of the upper bounds of system uncertainties. The estimates are then used as controller parameters so that the effects
of uncertain dynamics can be eliminated. It is also shown that the stability of the closed-loop system can be guaranteed with
the proposed control strategy. The simulation of a numerical example is provided to show the effectiveness of the new method.
Project supported by the National Outstanding Youth Science Foundation of China (NSFC:69725005) and the Zhejiang, Provincial
Natural Science Key Foundation of China (ZD9905) 相似文献
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林敏 《湖南第一师范学报》2008,8(2):167-169
基于Lyapunov—Krasovskii泛函方法,以LMI（线性矩阵不等式）的形式,给出了一般的状态滞后自治系统内稳定且具有范数界的一个充分条件和一般的状态滞后系统问题有解的一个充分条件,并通过LMI获得控制器的解。数值例子说明了方法的正确性。 相似文献
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考虑机器人的不确定项,首先利用反馈控制技术,把基于拉格朗日方程的多关节机器人动力学模型转化成一线性状态方程.然后基于此状态方程,运用变结构控制思想,并结合李雅普诺夫函数设计出一种新的机器人鲁棒控制器,这种控制器能够保证机器人机械臂的跟踪误差渐近收敛到零点.无论是理论推导还是实验仿真都说明了所设计的控制器有着很好的鲁棒性和有效性. 相似文献
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提出了一种用于单相有源电力滤波器的全数字式混合电流控制方案．该混合电流控制方案结合无差拍控制以及双模结构重复控制以实现优异的稳态性能和动态特性．区别于传统方案,采用该方案的有源电力滤波器可消除电网中存在的奇次和偶次谐波．给出了该混合电流控制方案的详细设计原则,并进行了稳定性分析．在此基础上,提出了混合电流控制结合谐振控制器的一种优选方案以消除电网中的特定次谐波,并讨论了谐振控制与几种重复控制的内在联系．实验结果验证了电流控制方案在有源电力滤波器中的优点和有效性． 相似文献
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针对一类关联项的上界是高阶多项式的关联大系统,设计了一种新的分散自适应模糊控制方法。该方法无须假设未知增益函数与子系统的最后一个分量无关,并且取消了未知增益导函数有界的前提假设,各个子系统仅根据自己的信息就能确定相应的控制量,真正实现了分散控制。基于Lyapunov稳定理论,分析证明了闭环系统一致终结有界,跟踪误差渐近收敛到零。仿真结果表明了所设计方法的有效性。 相似文献
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