Suppr超能文献

两自由度分数阶 PID 控制器在带负载机器人机械手中的性能分析。

Performance analysis of two-degree of freedom fractional order PID controllers for robotic manipulator with payload.

机构信息

Instrumentation and Control Engineering Division, Netaji Subhas Institute of Technology, Dwarka, New Delhi 110078, India.

出版信息

ISA Trans. 2015 Sep;58:279-91. doi: 10.1016/j.isatra.2015.03.013. Epub 2015 Apr 18.

Abstract

The robotic manipulators are multi-input multi-output (MIMO), coupled and highly nonlinear systems. The presence of external disturbances and time-varying parameters adversely affects the performance of these systems. Therefore, the controller designed for these systems should effectively deal with such complexities, and it is an intriguing task for control engineers. This paper presents two-degree of freedom fractional order proportional-integral-derivative (2-DOF FOPID) controller scheme for a two-link planar rigid robotic manipulator with payload for trajectory tracking task. The tuning of all controller parameters is done using cuckoo search algorithm (CSA). The performance of proposed 2-DOF FOPID controllers is compared with those of their integer order designs, i.e., 2-DOF PID controllers, and with the traditional PID controllers. In order to show effectiveness of proposed scheme, the robustness testing is carried out for model uncertainties, payload variations with time, external disturbance and random noise. Numerical simulation results indicate that the 2-DOF FOPID controllers are superior to their integer order counterparts and the traditional PID controllers.

摘要

机器人操纵器是多输入多输出(MIMO)、耦合和高度非线性系统。外部干扰和时变参数的存在会对这些系统的性能产生不利影响。因此,为这些系统设计的控制器应该能够有效地处理这些复杂性,这对于控制工程师来说是一项具有挑战性的任务。本文提出了一种带有负载的两连杆平面刚性机器人操纵器的两自由度分数阶比例-积分-微分(2-DOF FOPID)控制器方案,用于轨迹跟踪任务。使用布谷鸟搜索算法(CSA)对所有控制器参数进行调整。将所提出的 2-DOF FOPID 控制器的性能与它们的整数阶设计(即 2-DOF PID 控制器)以及传统的 PID 控制器进行了比较。为了展示所提出方案的有效性,针对模型不确定性、随时间变化的负载、外部干扰和随机噪声进行了鲁棒性测试。数值仿真结果表明,2-DOF FOPID 控制器优于其整数阶控制器和传统的 PID 控制器。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验