Control of a Flexible Robot Arm using a Simplified Fuzzy Controller

Hongxing Li, C. L. P. Chen, Han-Pang Huang
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引用次数: 2

Abstract

A flexible robot arm is a distributed system per se. Its dynamics are very complicated and coupled with the non-minimum phase nature due to the non-collocated construction of the sensor and actuator. This gives rise to difficulty in the control of a flexible arm. In particular, the control of a flexible arm usually suffers from control spillover and observation spillover due to the use of a linear and approximate model. The robustness and reliability of the fuzzy control have been demonstrated in many applications, particularly, it is perfect for a nonlinear system without knowing the exact system model. However, a fuzzy control usually needs a lot of computation time. In order to alleviate this restraint, a simplified fuzzy controller is developed for real-time control of a flexible robot arm. Furthermore, the self-organizing control based on the simplified fuzzy controller is also developed. The simulation results show that the simplified fuzzy control can achieve the desired performance and the computation time is less than 10 m s so that the real-time control is possible.
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基于简化模糊控制器的柔性机械臂控制
灵活的机械臂本身就是一个分布式系统。由于传感器和作动器的非配置结构,其动力学非常复杂,且具有非最小相位特性。这就给灵活的手臂的控制带来了困难。特别是,由于使用线性和近似模型,柔性臂的控制通常会受到控制溢出和观察溢出的影响。模糊控制的鲁棒性和可靠性已在许多应用中得到证明,特别是对于不知道确切系统模型的非线性系统,它是完美的。然而,模糊控制通常需要大量的计算时间。为了减轻这种约束,开发了一种简化的模糊控制器,用于柔性机械臂的实时控制。在此基础上,提出了基于简化模糊控制器的自组织控制方法。仿真结果表明,简化后的模糊控制可以达到预期的性能,计算时间小于10 m s,可以实现实时控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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