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Sliding mode variable structure control for inverted pendulum visual servo systems

机译:倒立摆视觉伺服系统的滑模变结构控制

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This paper investigates the Sliding Mode Variable Structure Control (SMVSC) for a class of typical Cyber-Physical Systems (CPSs), Inverted Pendulum Visual Servo Systems (IPVSSs). In the current CPSs SMVSC studies, the visual servo is rarely involved and there is a lack of the corresponding verification platform. In this paper, we propose an SMVSC algorithm for the self-developed IPVSS to encounter the time-varying Image Processing Computation Delay (IPCD) caused by visual servo. Within this framework, a linear sliding surface is constructed based on the Ackermann pole assignment method and an SMVSC law is given. In addition, the relationship between the IPCD and the stability of sliding motion on the specified linear sliding surface is quantified. Furthermore, we prove that the designed SMVSC law can guarantee the system state to reach the linear sliding surface in a finite time and remain stable for all subsequent time. Finally, the simulation and real-time control experiments verify the feasibility and effectiveness of the proposed method.
机译:本文研究了一类典型的电子物理系统(CPS),倒立摆视觉伺服系统(IPVSSs)的滑模可变结构控制(SMVSC)。在当前的CPSs SMVSC研究中,很少涉及视觉伺服,并且缺少相应的验证平台。本文针对自主研发的IPVSS提出​​了一种SMVSC算法,以应对视觉伺服引起的时变图像处理计算延迟(IPCD)。在此框架内,基于Ackermann极点分配方法构造了线性滑动表面,并给出了SMVSC定律。此外,还对IPCD和指定线性滑动面上的滑动稳定性之间的关系进行了量化。此外,我们证明所设计的SMVSC定律可以保证系统状态在有限时间内达到线性滑动表面,并在随后的所有时间内保持稳定。最后,仿真和实时控制实验验证了该方法的可行性和有效性。

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