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Path-tracking control of bevel-tip needles using Model Predictive Control

机译:使用模型预测控制的锥尖针的路径跟踪控制

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The bevel-tip flexible needle is an improvement of the clinical puncture needle and has the potential to reduce surgery traumas and improve puncture accuracy. Due to the nonholonomic kinematics model, it is difficult to drive flexible needles to track a pre-plan path. In this paper, we propose an effective path tracking control method based on Model Predictive Control (MPC). The kinematics model of flexible needles is described firstly, according to which the control method is designed. Then, the path tracking control method is presented in detail. The finite prediction horizon of MPC is extended to infinite in order to obtain a global optimal solution. Due to the nonlinear model, the objective function of receding horizon optimization is also nonlinear, and Particle Swarm Optimization (PSO) is employed to search optimal predictive control series. At last, simulations are conducted and results illustrate that the proposed controller performs well to precisely drive the flexible needle to track a desired path.
机译:斜角柔性针是临床穿刺针的改进,具有减少手术创伤和提高穿刺准确性的潜力。由于非完整运动学模型,很难驱动柔性针头来跟踪预先计划的路径。本文提出了一种基于模型预测控制(MPC)的有效路径跟踪控制方法。首先描述了柔性针的运动学模型,并据此设计了控制方法。然后,详细介绍了路径跟踪控制方法。 MPC的有限预测范围扩展到无限,以获得全局最优解。由于具有非线性模型,后退水平优化的目标函数也是非线性的,因此采用粒子群优化(PSO)搜索最优预测控制序列。最后,进行了仿真,结果表明所提出的控制器在精确驱动柔性针头以追踪所需路径方面表现良好。

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