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2018 15th International Workshop on Variable Structure Systems (VSS)最新文献

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First-Order Continuous Adaptive Sliding Mode Control for Robot Manipulators with Finite-Time Convergence of Trajectories to Real Sliding Mode 轨迹收敛于实滑模的机器人一阶连续自适应滑模控制
Pub Date : 2018-07-01 DOI: 10.1109/VSS.2018.8460444
M. Zeinali
In this paper the design, analysis and implementation of improved first-order continuous adaptive sliding mode control (CASMC) based on online estimation of the lumped time-varying uncertainties for tracking control of the robot manipulators is presented. The proposed method allows to address the main drawbacks of conventional sliding mode control: the chattering phenomenon, and the requirement for a priori knowledge of the bounds of the uncertainties, and also the chattering problem associated with adaptive discontinuous sliding mode controllers, while the robustness property of the conventional sliding mode control is preserved. Furthermore, in the previously published version of the controller [1], the estimate of robot inertia matrix is needed to realize the adaptive component of the control law. In this work, the skew-symmetry property (passivity property) of robot dynamic is used to eliminate that requirement. The global stability and robustness of the proposed controller are established in the presence of time-varying uncertainties using Lyapunov's approach and fundamentals of sliding mode theory. The robustness is achieved without knowing the bound of uncertainties. The dynamic model of a two-degrees of freedom (2-DOF) rigid robot is used for simulation study and a 2-DOF flexible-link robot is used as an experimental test-bed to evaluate the performance, and robustness of the controller. Based on the simulations and experimental results, the proposed controller performs remarkably well in terms of the tracking error convergence, estimation of lumped uncertain parameter. And it is robust against un-modeled dynamics and external disturbances.
提出了一种基于集总时变不确定性在线估计的改进一阶连续自适应滑模控制(CASMC),并对其进行了设计、分析和实现。该方法解决了传统滑模控制的主要缺点:抖振现象和对不确定性边界的先验知识的要求,以及自适应不连续滑模控制器的抖振问题,同时保持了传统滑模控制的鲁棒性。此外,在之前发表的控制器版本[1]中,需要对机器人惯性矩阵进行估计来实现控制律的自适应分量。在这项工作中,利用机器人动力学的非对称特性(即被动特性)来消除这一要求。利用李雅普诺夫方法和滑模理论的基本原理,在存在时变不确定性的情况下,建立了该控制器的全局稳定性和鲁棒性。鲁棒性的实现无需知道不确定性的边界。采用二自由度刚性机器人的动力学模型进行仿真研究,并以二自由度柔性机器人为实验平台,对控制器的性能和鲁棒性进行了评价。仿真和实验结果表明,所提出的控制器在跟踪误差收敛、集总不确定参数估计等方面都有良好的性能。它对未建模的动态和外部干扰具有鲁棒性。
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引用次数: 1
Reaching law based DSMC with higher relative degree sliding variables 具有高相对滑动变量的基于逼近律的DSMC
Pub Date : 2018-07-01 DOI: 10.1109/VSS.2018.8460304
P. Latosiński, A. Bartoszewicz
Discrete-time sliding variables with relative degree higher than one have been shown to reduce oscillations in switching type quasi-sliding mode strategies and to improve system robustness. In this paper we consider the variables with relative degree equal to the actual degree of the plant. For such variables, a general switching type reaching law is presented. It is demonstrated that the control signal obtained from this reaching law always ensures a finite time response of the closed-loop system. Furthermore, it is shown that our strategy reduces state error compared to the classic relative degree one approach.
相对度大于1的离散时间滑动变量可以降低切换型准滑模策略的振荡,提高系统的鲁棒性。在本文中,我们考虑相对程度等于装置实际程度的变量。对于这些变量,给出了一般的切换型趋近律。结果表明,由该趋近律得到的控制信号总是能保证闭环系统的有限时间响应。此外,与经典的相对1度方法相比,我们的策略减少了状态误差。
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引用次数: 0
Cooling Control System with Sliding Mode Approach for Electrical Vehicle with Range Extender 带增程式的电动汽车滑模冷却控制系统
Pub Date : 2018-07-01 DOI: 10.1109/VSS.2018.8460456
E. Abdulhamitbilal, E. M. Jafarov
In this study cooling control system design of an electrical vehicle (EV) with range extender (REX) is studied. Thermodynamic balance for each element of thermal system is written as one dimensional heat equation. Mathematical model is validated with data obtained from dynamometer tests. Sliding mode control system has been designed as a feedback control law of an heat management system of EV to cool down driveline components. Simulation results illustrate effectiveness of the proposed approach for cooling EV driveline components with suggested technique.
本文研究了增程式电动汽车的冷却控制系统设计。热系统中各元素的热力学平衡可以写成一维热方程。用测功机试验数据对数学模型进行了验证。设计了滑模控制系统作为电动汽车热管理系统的反馈控制律,对传动系统部件进行冷却。仿真结果验证了采用该方法对电动汽车传动系统部件进行冷却的有效性。
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引用次数: 0
A robust Sliding Mode Controller for a class of SISO bilinear delayed systems 一类SISO双线性时滞系统的鲁棒滑模控制器
Pub Date : 2018-04-09 DOI: 10.1109/VSS.2018.8460291
Tonametl Sanchez, A. Polyakov, J. Richard, D. Efimov
In this paper we propose a Sliding Mode Controller for a class of scalar bilinear systems with delay in both the input and the state. Such a class is considered since it has shown to be suitable for modelling and control of a class of turbulent flow systems. The stability and robustness analysis for the reaching phase in the controlled system are Lyapunov-based. However, since the sliding dynamics is infinite dimensional and described by an integral equation, we show that the stability and robustness analysis is simplified by using Volterra operator theory.
本文针对一类输入和状态均有时滞的双线性标量系统,提出了一种滑模控制器。考虑这一类是因为它已被证明适合于一类湍流系统的建模和控制。被控系统到达相位的稳定性和鲁棒性分析采用李雅普诺夫分析方法。然而,由于滑动动力学是无限维的,并由积分方程描述,我们证明了稳定性和鲁棒性分析可以用Volterra算子理论来简化。
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引用次数: 4
期刊
2018 15th International Workshop on Variable Structure Systems (VSS)
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