基于模糊非奇异末端滑模的机动轮式AGV轨迹跟踪控制

Zhe Sun, Shujie Hu, Nengzhuo Li, Defeng He
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引用次数: 0

摘要

针对机械轮式自动导引车(MWAGV)的轨迹跟踪控制问题,提出了一种模糊非奇异终端滑模控制策略。首先,确定了具有4个输入和3个输出的植物模型来描述MWAGV的轨迹跟踪行为的运动学和动力学。然后,针对MWAGV设计了FNTSM控制器,并通过李亚普诺夫函数验证了控制系统的稳定性。最后,通过仿真测试了系统在横向运动和带初始偏移量的圆周运动情况下的控制性能。仿真结果表明,与传统的滑模控制相比,所开发的FNTSM控制算法具有较高的跟踪精度、较强的鲁棒性和较好的跟踪精度与控制平滑性之间的平衡等显著的优越性。
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Trajectory-Following Control of Mecanum-Wheeled AGV Using Fuzzy Nonsingular Terminal Sliding Mode
In this paper, a fuzzy nonsingular terminal sliding mode (FNTSM) control strategy is proposed for the trajectory-following control problem of a Mecanum-wheeled automated guided vehicle (MWAGV). Initially, a plant model with 4 inputs and 3 outputs is identified to describe the kinematics and dynamics of the MWAGV's trajectory-tracking behavior. Then, an FNTSM controller is designed for the MWAGV, and the control system's stability is verified via Lyapunov. Lastly, simulations are executed to test the control performance in the cases of lateral motion and circular motion with an initial offset. The simulation results indicate that compared with conventional sliding mode (CSM) control, the developed FNTSM control algorithm owns remarkable superiority reflected in higher tracking accuracy, stronger robustness and a better balance between the tracking precision and control smoothness.
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