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1.
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   

2.
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   

3.
针对一种新型混联式汽车电泳涂装输送机构控制方法存在收敛时间较长问题,提出一种有限时间收敛滑模控制方法。首先采用解析法对机构进行运动学分析,并基于拉格朗日法建立输送机构动力学模型;提出一种快速终端滑模有限时间收敛控制方法,实现新型混联式输送机构控制的有限时间收敛;然后设计有限时间滑模观测器,实时观测被控对象模型中的不确定参数以及外部随机干扰并加以前馈补偿,以进一步提高系统鲁棒性,同时解决快速终端滑模控制存在的抖振问题;最后运用Lyapunov稳定性理论证明该控制方法的稳定性,利用MATLAB对控制方法进行仿真,并将其应用于新型混联式输送机构样机进行实验,结果表明该控制器具有跟踪误差小、稳态精度高、响应速度快、鲁棒性好的特点。  相似文献   

4.
非线性不确定系统鲁棒自适应动态面控制   总被引:7,自引:0,他引:7  
本文针对具有未知参数不确定和干扰的严格反馈型的非线性系统鲁棒自适应控制提出了一种新的设计方法 ,即动态面控制 .传统的递推算法要求对建模的非线性反复多次微分 .本文方法由于加入了n个低通滤波器使得算法不用对模型非线性进行多次微分 ,因而避免了因“微分项的爆炸”引起的算法复杂性从而简化了算法 .理论分析证明了所设计的鲁棒自适应动态面控制器保证了闭环系统的半全局渐近稳定并且使得输出跟踪期望轨迹 .仿真结果表明了所设计的控制器的有效性和可行性 .  相似文献   

5.
针对一类具有高阶关联项的大系统提出了一种新型控制器———模糊神经网络滑模控制器,该控制器将模糊神经网络与滑模控制器有机结合,消除了一般滑模控制器中的高频颤动现象,同时不需要知道系统中的不确定性和扰动的上界.实例仿真说明了控制器不仅能得到好的控制效果,而且具有比一般滑模控制器强的鲁棒性  相似文献   

6.
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   

7.
A minimax optimal control strategy for quasi-Hamiltonian systems with bounded parametric and/or external disturbances is proposed based on the stochastic averaging method and stochastic differential game. To conduct the system energy control, the partially averaged Ito stochastic differential equations for the energy processes are first derived by using the stochastic averaging method for quasi-Hamiltonian systems. Combining the above equations with an appropriate performance index, the proposed strategy is searching for an optimal worst-case controller by solving a stochastic differential game problem. The worst-case disturbances and the optimal controls are obtained by solving a Hamilton-Jacobi-Isaacs (HJI) equation. Numerical results for a controlled and stochastically excited DulTlng oscillator with uncertain disturbances exhibit the efficacy of the proposed control strategy.  相似文献   

8.
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   

9.
针对传统滑模变结构控制器(SMC)的抖振现象,提出了一种模糊自适应滑模控制方法.该方法采用模糊逻辑系统来逼近传统SMC中不连续的控制信号,以削弱其由于不连续切换引起的抖振.另外,为了补偿实际应用中系统的不确定性,给出了相应的自适应算法,以调节模糊系统的参数,并给出了算法的Lyapunov稳定性证明.最后,通过对一个感应电机位置控制的数值仿真计算,验证了方法的有效性.  相似文献   

10.
~~under the sliding mode controller. It shows that the sliding mode controller yield almost perfect tracking to the reference model. It can be seen in Fig.6 that the acceleration of sprung mass under sliding mode controller is controlled within ?.7 m/s2. Fig.7 shows the robustness and stability of the sliding mode controller to the parameter variations of the system to be controlled, in this case, a relative decrease of 10 % in the sprung mass and a relative increase of 15 % in the stiffness o…  相似文献   

11.
A new sliding mode controller for semi-active suspension system with magnetorheological (MR) damper is presented in this paper. In the proposed sliding mode controller, a semi-active suspension based on the skyhook damper system is chosen as the reference model to be followed, and the control law is so determined that the asymptotically stable error dynamics occurs between the controlled state and the reference model state. Numerical simulations are carried out to study the performance of the new sliding mode controller. The results show that the proposed controller yields almost perfect tracking to the reference model and has a high robustness against model parameter uncertainties and disturbances.  相似文献   

12.
研究时滞系统的鲁棒方差约束控制问题.针对带有不确定参数和白噪声干扰的离散时滞系统,设计一类反馈控制器,使通过反馈控制所得到的闭环系统不仅一致渐进稳定,而且系统各状态分量的稳态方差在给定约束范围之内.利用线性矩阵不等式的方法,得出了满足这一反馈控制器的充分条件.给出了一个数值算例,验证了所提出算法的有效性.  相似文献   

13.
INTRODUCTIONInrecentyears,robustcontrolofdynamicalsystemswithsignificantuncertaintieswaswidelyresearched .Manynewapproacheshavebeenproposedbasedonsomedesiredperformances.TheLyapunovfunctioncommomlyusedtosyn thesizethecontroller(Li,1 996;Yallapragadaetal.,1 996…  相似文献   

14.
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   

15.
INTRODUCTIONConsiderableattentionhasbeenfocusedonthecontrolproblemofuncertaindynamicalnon linearsystemssubjecttoexternaldisturba  相似文献   

16.
针对一类具有饱和非线性输入的混沌系统,基于RBF神经网络的逼近能力提出一种控制方案。该方法利用自适应控制和鲁棒控制,使系统可在模型函数和外扰未知下,设计出结构简单有效的控制器,有效消除了现实中由于饱和非线性输入的存在而引起的控制器抖动的不良控制效果。仿真结果表明了所提控制方法的可行性。  相似文献   

17.
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   

18.
For a single-motor parallel hybrid electric vehicle, during mode transitions (especially the transition from electric drive mode to engine/parallel drive mode, which requires the clutch engagement), the drivability of the vehicle will be signifi- cantly affected by a clutch torque induced disturbance, driveline oscillations and jerks which can occur without adequate controls. To improve vehicle drivability during mode transitions for a single-motor parallel hybrid electric vehicle, two controllers are proposed. The first controller is the engine-side controller for engine cranking/starting and speed synchronization. The second controller is the motor-side controller for achieving a smooth mode transition with reduced driveline oscillations and jerks under the clutch torque induced disturbance and system uncertainties. The controllers are all composed of a feed-forward control and a robust feedback control. The robust controllers are designed by using the mu synthesis method. In the design process, control- oriented system models that take account of various parameter uncertainties and un-modeled dynamics are used. The results of the simulation demonstrate the effectiveness of the proposed control algorithms.  相似文献   

19.
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   

20.
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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