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为了提高SCARA机器人的轨迹跟踪控制性能,提出一种双模糊自适应滑模控制;采用一自适应模糊控制器,根据滑模到达条件对滑模切换增益进行估算,消除滑模控制中输出力矩的抖振现象,增强其对不确定性因素的适应能力;采用另一自适应模糊控制器对指数趋近律系数进行修正,改善由于大范围初始位姿产生的偏差而引起的大力矩和速度跳变问题;基于Lyapunov方法进行了稳定性证明,保证控制系统的稳定性与收敛性;仿真实验结果表明,该方法应用于SCARA机器人,跟踪效果良好并产生了平滑的力矩输出和速度输出. 相似文献
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针对含有建模误差和不确定干扰的多关节机器人轨迹跟踪控制,提出了一种模糊神经滑模控制方法.该方法采用全局快速终端滑模面,保证了系统能够从任意初始状态在有限时间内到达滑模面和平衡点.采用模糊神经网络自适应地补偿系统的建模误差和外界干扰,保证了滑模控制在滑模面的运动.文中利用李亚普诺夫稳定性判据推导出了控制器的控制律和模糊神经网络的目标函数,通过模糊神经网络的在线学习.削弱了滑模控制的抖振.仿真结果表明了其有效性. 相似文献
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Zare Kazem Shasadeghi Mokhtar Niknam Taher Asemani Mohammad Hassan Mobayen Saleh 《International Journal of Control, Automation and Systems》2022,20(3):823-830
International Journal of Control, Automation and Systems - In this paper, a sliding mode control (SMC) using a novel dynamic sliding surface is proposed for multi-input multi-output (MIMO)... 相似文献
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This paper investigates the precise trajectory tracking of unmanned aerial vehicles(UAV)capable of vertical take-off and landing(VTOL)subjected to external dist... 相似文献
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Lin Yongyi Du Jialu Li Jian 《International Journal of Control, Automation and Systems》2021,19(9):3168-3178
International Journal of Control, Automation and Systems - In this paper, a novel robust adaptive finite-time fault-tolerant control (FTC) scheme is presented for the dynamic positioning (DP) of... 相似文献
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提出了一种基于无速度传感器运行的永磁同步电机非线性控制方法。针对电机速度和位置观测,设计了一种新颖的级联式滑模观测器,解决了传统滑模观测采用低通滤波器的相位延迟问题。前级电流滑模观测器得到反电动势,后级反电动势滑模观测器获取转速和位置信息,利用李亚普诺夫理论进行了稳定性分析。针对速度控制,提出了带扩张状态观测器的滑模速度控制器取代PI调节器,提高了系统的鲁棒性。在滑模观测和控制中均利用双曲正切函数取代符号函数,削弱了系统抖振。将上述方法应用到永磁同步电机矢量控制系统中,通过仿真验证方法的有效性。 相似文献
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Francisco G. Rossomando Carlos Soria Ricardo Carelli 《Journal of Intelligent and Robotic Systems》2014,74(3-4):931-944
In this work a neural indirect sliding mode control method for mobile robots is proposed. Due to the nonholonomic property and restricted mobility, the trajectory tracking of this system has been one of the research topics for the last ten years. The proposed control structure combines a feedback linearization model, based on a kinematics nominal model, and a practical design that combines an indirect neural adaptation technique with sliding mode control to compensate the dynamics of the robot. Using an online adaptation scheme, a neural sliding mode controller is used to approximate the equivalent control in the neighbourhood of the sliding manifold. A sliding control is appended to ensure that the neural sliding mode control can achieve a stable closed-loop system for the trajectory-tracking control of a mobile robot with unknown nonlinear dynamics. The proposed design simultaneously guarantees the stability of the adaptation of the neural nets and obtains suitable equivalent control when the parameters of the robot model are unknown in advance. The robust adaptive scheme is applied to a mobile robot and shown to be able to guarantee that the output tracking error will converge to zero. 相似文献
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一类平滑的机器人非线性滑动模控制策略 总被引:1,自引:1,他引:0
提出一类平滑的非线性滑动模控制策略,用于不确定性机器人的轨迹跟踪,其控制结构不依赖系统模型,由一个连续的非线性补偿控制器和一个非线性反馈构成,其主要特点是基于一类饱和型函数,提出了一类新颖的非线性补偿控制器和非线性滑动模的设计方法,另外,应用提出的非线性滑动模,可以推得一个只有一阶的机器人集中不确定性约束函数而不是通常的二阶多项式,基于Lyapunov方法的理论分析和计算机仿真,均保证设计的控制策略能够消除系统所有的不确定性影响,并达到全局的渐近稳定。 相似文献
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由于轮式移动机器人的非完整性质和运动受限性质,它的轨迹跟踪已经成为一类具有挑战性的控制问题.针对一个可以在医院环境中执行护理任务的室内移动机器人-护士助手机器人,提出一种轮式移动机器人的轨迹跟踪滑模控制方法.由移动机器人在极坐标系中的运动学方程出发设计一个滑模控制器,进而提出了一种新的滑模控制方法,解决了在极坐标系中关于运动学的跟踪问题.分析了此方法的稳定性和执行性能,并且通过仿真证明这个控制方法的实际应用的有效性. 相似文献
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This paper studies the sliding mode controller design problems for a class of nonlinear system. The nonlinear function is considered to satisfy conic-type constraint condition. A novel finite-time boundedness (FTB) based sliding mode controller design theory is proposed. And then a sufficient condition is obtained in terms of linear matrix inequalities (LMIs), which guarantees the resulted sliding mode dynamics to be FTB wrt some predefined scalars. Thereafter, a FTB-based sliding mode control (SMC) law is synthesized to ensure the state of the controlled system is driven into a novel desired switching surface s(t)=c (c is a constant) in a finite time. Simulation results illustrate the validity of the proposed FTB-based SMC design theory. 相似文献
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自行车机器人系统的稳定滑模控制 总被引:2,自引:0,他引:2
基于拉格朗日方法建立自行车机器人动力学模型,针对自行车机器人这一非线性欠驱动系统,利用稳定滑模控制算法实现系统的稳定.该方法首先从各个子系统中取出一个变量组合成一个中间变量;然后从该中间变量出发构造滑模函数,从滑模控制器设计的角度求取控制量,保证中间变量在有限时间内收敛到平衡点,从而保证系统状态收敛到收敛域内.该方法能够保证自行车机器人系统的稳定性,并在仿真实验中得到了验证. 相似文献
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Kang Liu Hongbo Gao Haibo Ji Zhengyuan Hao 《International Journal of Control, Automation and Systems》2020,18(5):1288-1298
This paper is devoted to investigating a composite controller for wheeled mobile robots in the presence of external disturbance and parametric uncertainty. 相似文献
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Trajectory Tracking with Parallel Robots Using Low Chattering,Fuzzy Sliding Mode Controller 总被引:1,自引:0,他引:1
Zhen Qi John E. McInroy Farhad Jafari 《Journal of Intelligent and Robotic Systems》2007,48(3):333-356
This paper proposes a trajectory tracking scheme which belongs to the sliding mode control (SMC) for the 4-degree-of-freedom
(DOF) parallel robots. Two fuzzy logic systems (FLS) are first put forward to replace the constant switching control gain
and the width of the boundary layer. The fuzzy adaptive supervisory controller (FASC) is combined with the fuzzy sliding mode
control (FSMC) to further reduce the chattering. The design is simple and less fuzzy rules are required. The simulation results
demonstrate that the chattering of the SMC is reduced greatly and the parallel robot realizes the trajectory tracking with
very good robustness to the parameter uncertainties and external disturbances. 相似文献
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Cao Zhiru Niu Yugang Zhao Haijuan 《International Journal of Control, Automation and Systems》2018,16(5):2282-2289
International Journal of Control, Automation and Systems - This paper addresses the problem of finite-time boundedness (FTB) for a class of Markovian jump systems (MJSs) via sliding mode control... 相似文献