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1.
This paper presents a nonlinear robust control design method for a generic rotorcraft unmanned aerial vehicle(RUAV). The control objective is to let the RUAV track some pre-defined time-varying position and headingtrajectories. The proposed controller employs feedback linearization process to realize the dynamic decoupling controland applies adaptive sliding mode control to compensate for the parametric uncertainties and external disturbances.The global asymptotical stability is proved via stability analysis. Compared with the cascaded controller, the proposedcontroller demonstrates a superior tracking performance and robustness through numerical simulation in the presenceof parametric uncertainties and unknown disturbances.  相似文献   

2.
This paper presents a pressure observer based adaptive robust controller (POARC) for posture trajectory tracking of a parallel manipulator driven by three pneumatic muscles without pressure sensors. Due to model errors of the static forces and friction forces of pneumatic muscles, simplified average flow rate characteristics of valves, unknown disturbances of entire system, and unmeasured pressures, there exist rather severe parametric uncertainties, nonlinear uncertainties and dynamic uncertainties in modeling of the parallel manipulator. A nonlinear pressure observer is constructed to estimate unknown pressures on the basis of a single-input-single-output (SISO) decoupling model that is simplified from the actual multiple-input-multiple-output (MIMO) coupling model of the parallel manipulator. Then, an adaptive robust controller integrated with the pressure observer is developed to accomplish high precision posture trajectory tracking of the parallel manipulator. The experimental results indicate that the system with the proposed POARC not only achieves good control accuracy and smooth movement but also maintains robustness to disturbances.  相似文献   

3.
针对一类带有未知死区的随机严格反馈非线性系统,提出了一种自适应模糊控制方案:利用命令滤波来处理退步方法的复杂性问题,并引入误差补偿机制克服动力学表面方法的缺点;此外,通过利用死区斜坡的边界信息,对未知的非线性系统不需要建立逆死区。与已有的结果相比,该方案的优点是:通过建立补偿信号消除滤波误差,且只有一个必需的自适应参数,这使该控制方案在实际应用中更有效;该控制方案,保证了闭路系统的所有控制信号最终一致概率有界,跟踪误差收敛到相应的紧集。  相似文献   

4.
讨论了基于BackStepping方法,载体位置与姿态均不受控制的双臂空间机器人跟踪惯性空间期望轨迹的控制问题.首先基于拉格朗日第二类方法,结合系统动量(动量矩)守恒关系,推导得到了系统动力学方程,并转化为系统状态方程.基于Backstepping方法,针对具有不确定性的双臂空间机器人系统,设计了鲁棒自适应神经网络控制规律,保证了具有不确定性的双臂空间机器人系统末端手爪在惯性空间跟踪期望轨迹的控制.仿真实验证明了该方法的有效性.  相似文献   

5.
Radar leveling system is the key equipment for improving the radar mobility and survival capability. A combined quantitative feedback theory(QFT)controller is designed for the radar truck leveling simulator in this paper, which suffers from strong nonlinearities and system parameter uncertainties. QFT can reduce the plant uncertainties and stabilize the system, but it fails to obtain high-precision tracking. This drawback can be solved by a robust QFT control scheme based on zero phase error tracking control(ZPETC)compensation. The combined controller not only possesses high robustness, but greatly improves the system performance. To verify the effectiveness and the potential of the proposed controller, a series of experiments have been carried out. Experimental results have demonstrated its robustness against a large range of parameters variation and high tracking precision performance, as well as its capability of restraining the load coupling among channels. The combined QFT controller can drive the radar truck leveling platform accurately, quickly and stably.  相似文献   

6.
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   

7.
针对受限环境下四旋翼无人飞行器在参数不确定及外部扰动影响下的高性能高度控制问题,设计一种基于复合非线性反馈(CNF)和自适应非光滑轨迹跟踪控制的高度控制方法。通过四旋翼无人飞行器的垂直通道动力学模型分析和变换,将高度轨迹规划问题转换为输入受限的线性系统控制问题,设计CNF控制器实现轨迹生成;建立参数不确定及外部扰动影响下的垂直通道动力学模型,设计一种自适应非光滑轨迹跟踪控制器,并理论证明了闭环系统稳定性。最后,通过仿真实验验证所提出方法的有效性。结果表明,所设计方法能够有效提高参数不确定及外部扰动下的高度控制品质,且简单实用。  相似文献   

8.
在建立卫星姿态运动学方程与姿态动力学方程的基础上,设计了姿态控制器,仿真结果表明该控制系统具有较好的动态和稳态性能;结合有效载荷的两维伺服控制系统模型,提出了卫星运动补偿方案。使用高精度星敏感器与陀螺组合姿态确定的软件,在各种干扰力矩作用下,对卫星运动补偿进行了数学仿真。结果表明,该方案可以提高有效载荷光轴指向精度和指向稳定度。  相似文献   

9.
INTRODUCTIONInrecentyears,robustcontrolofdynamicalsystemswithsignificantuncertaintieswaswidelyresearched .Manynewapproacheshavebeenproposedbasedonsomedesiredperformances.TheLyapunovfunctioncommomlyusedtosyn thesizethecontroller(Li,1 996;Yallapragadaetal.,1 996…  相似文献   

10.
本提出了一种新颖的鲁棒自适应分散控制策略,用于不确定性机器人的轨迹跟踪,该控制器结构非常简单,由PD 非线性反馈构成,仅需要了解各关节输出的位置及速度状态,避免了对加速度的测量,有效的克服了通常难于建模的摩擦力和外部扰动的影响,最后保证全局渐近稳定.二连杆机器人的仿真研究证明了该策略的有效性.  相似文献   

11.
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   

12.
基于积分型李亚普诺夫函数的直接自适应模糊控制   总被引:3,自引:0,他引:3  
针对一类具有未知下三角形函数控制增益矩阵的非线性系统,根据滑模控制原理,并利用I型模糊系统的逼近能力,提出了一种直接自适应模糊控制器设计的新方案.通过引入积分型李亚普诺夫函数及逼近误差自适应补偿项,证明了闭环系统是全局稳定的,跟踪误差收敛到零.仿真结果表明了该方法的有效性.  相似文献   

13.
This paper presents an adaptive strategy for controlling chaotic systems. By employing the phase space reconstruction technique in nonlinear dynamical systems theory, the proposed strategy transforms the nonlinear system into canonical form, and employs a nonlinear observer to estimate the uncertainties and disturbances of the nonlinear system, and then establishes a state-error-like feedback law. The developed control scheme allows chaos control in spite of modeling errors and parametric variations. The effectiveness of the proposed approach has been demonstrated through its applications to two well-known chaotic systems: Duffing oscillator and Rössler chaos.  相似文献   

14.
主要研究了任意转换下带有未知迟滞的随机非线性系统的自适应跟踪控制问题。采用变量分离方法对状态变量进行分解,使其在任意转换之下逼近于一个光滑函数。通过把径向基函数神经网络普遍近似性能与自适应反步法相结合,构造出一个在任意转换之下的自适应神经控制算法。所设计的控制器保证了所有闭路系统信号半全局一致有界,并且,跟踪误差最终收敛到一个原点小邻域内,提出的方案更好地保证了在任意转换之下系统的稳定性。  相似文献   

15.
黄小琴 《闽江学院学报》2012,33(2):53-55,64
讨论了在输入力矩受限情况下,载体位置、姿态均不受控制的漂浮基空间机械臂系统的鲁棒自适应控制问题.建立了系统的动力学方程,并借助增广变量法,成功地克服了空间机械臂系统鲁棒自适应控制方案设计的难点,设计了一种增广鲁棒自适应控制器,并应用李雅普诺夫直接方法对控制方案的渐进稳定性条件作了证明.通过系统数值仿真,证实了控制方法的有效性.  相似文献   

16.
对一类具有不确定性的非线性系统,根据滑模控制原理并利用T-S模糊系统的逼近能力,提出了一种自适应模糊滑模控制系统的设计方法。控制结构中采用模糊系统自适应补偿过程的不确定性,利用Lyapunov理论,证明了控制算法是全局稳定的,跟踪误差可收敛到零的一个邻城内。  相似文献   

17.
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   

18.
讨论一类带有线性未知参数的非线性互联系统的自适应跟踪控制问题.基于线性系统的输入-输出线性化理论,设计了直接自适应控制方案来实现有界的跟踪.提出的方案对关联结构和子系统中的不确定均具有鲁棒性.一个数值例子说明了所得结果的可用性.  相似文献   

19.
改进了传统的神经网络BP算法,提出了基于广义BP算法的非线性不确定系统的神经网络模型参考自适应控制方案.并将其用于非线性不确定系统的控制,仿真实验表明了控制器具有良好的非线性控制性能.  相似文献   

20.
INTRODUCTIONConsiderableattentionhasbeenfocusedonthecontrolproblemofuncertaindynamicalnon linearsystemssubjecttoexternaldisturba  相似文献   

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