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多伺服电机智能化协调容错轨迹跟踪控制系统设计
引用本文:朱俊威,顾曹源,王鼎,张文安,王鑫. 多伺服电机智能化协调容错轨迹跟踪控制系统设计[J]. 控制理论与应用, 2021, 38(7): 1023-1032
作者姓名:朱俊威  顾曹源  王鼎  张文安  王鑫
作者单位:浙江工业大学信息工程学院,浙江杭州310023;浙江省嵌入式系统联合重点实验室,浙江杭州310023;北京工业大学信息学部,北京100124;黑龙江大学数学科学学院,黑龙江哈尔滨150080
基金项目:国家自然科学基金项目(61803334, 61822311, 61703148), 浙江省自然科学基金项目(LQ18F030012), 黑龙江省自然科学基金项目(F2017023), 中 国国家留学基金项目(201908330040), 黑龙江大学优秀青年基金项目(JCL201903), NFSC-浙江两化融合联合基金项目(U1709213)资助.
摘    要:针对一类具有执行器、传感器故障的多伺服电机控制系统,设计了相应的多伺服电机智能化协调容错轨迹跟踪控制系统.首先,提出了一种新结构的分布式中间估计器,修改了其设计结构,提高了估计方案的可行性.其次,通过在线强化学习估计策略,可以显著提高估计性能,其核心是自适应切换机制与源故障模式定位功能块的集成,并根据估计值设计了协调容...

关 键 词:多伺服电机  协调容错轨迹跟踪控制  智能化  在线强化学习估计策略  人机交互
收稿时间:2020-09-18
修稿时间:2021-06-05

Design of an intelligent cooperative fault-tolerant trajectory tracking control system for multi-servo motors
ZHU Jun-wei,GU Cao-yuan,WANG Ding,ZHANG Wen-an and WANG Xin. Design of an intelligent cooperative fault-tolerant trajectory tracking control system for multi-servo motors[J]. Control Theory & Applications, 2021, 38(7): 1023-1032
Authors:ZHU Jun-wei  GU Cao-yuan  WANG Ding  ZHANG Wen-an  WANG Xin
Affiliation:Zhejiang University of Technology,Zhejiang University of Technology,Beijing University of Technology,Zhejiang University of Technology,Heilongjiang University
Abstract:For a class of multi-servo motor control systems with actuator and sensor faults, a corresponding multi-servomotor intelligent cooperative fault-tolerant trajectory tracking control system is designed. First, a new structure of the distributedintermediate estimator is proposed, and its design structure is modified to improve the feasibility of the estimationscheme. Next, the estimation performance can be significantly improved by an online reinforcement learning estimationstrategy, whose core is an adaptive switching mechanism integrated with a function block of source fault mode localization,and a cooperative fault-tolerant trajectory tracking controller is designed based on the estimated values. Meanwhile,a visual man-machine interactive interface is designed, which can feed back the real-time position, speed, correspondingposition, speed estimated value and control performance of the servo motors to the monitoring center. The operator canchange the servo input at any time to complete the task adjustment, which can effectively improve the practicability of thesystem. The experimental results of the multi-servo motor control system verify the effectiveness and superiority of theproposed method.
Keywords:multi-servo motors   cooperative fault-tolerant trajectory tracking control   intelligence   online reinforcement learning estimation strategy   man-machine interaction
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