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基于自适应滑模和多策略黑猩猩优化算法的电缆巡检机器人控制策略设计OA

中文摘要英文摘要

针对电缆巡检机器人在复杂运行环境与外界干扰等情况下出现的控制精度不足以及稳定性下降等问题,该文提出一种基于自适应滑模控制策略和多策略黑猩猩优化算法的新型智能电缆巡检机器人控制策略.首先构建控制系统结构,引入自适应调节机制形成自适应滑模控制策略,其次后引入多策略机制形成多策略黑猩猩算法,并对自适应滑模控制器的参数进行优化,实现滑模控制抖振现象的抑制,最后进行实验对比,结果显示该文所提控制策略具有优异的控制性能和稳定特性.

Aiming at the problems of insufficient control accuracy and stability degradation of cable inspection robots in complex operating environments and external disturbances,this paper proposes a new intelligent cable inspection robot control strategy based on adaptive sliding mode control strategy and multi-strategy chimpanzee optimization algorithm.First,the control system structure is constructed,and an adaptive adjustment mechanism is introduced to form an adaptive sliding mode control strategy.Then,a multi-strategy mechanism is introduced to form a multi-strategy chimpanzee algorithm.The parameters of the adaptive sliding mode controller are optimized to suppress the chattering phenomenon of sliding mode control.Finally,experimental comparison is carried out,and the results show that the proposed control strategy in this paper has excellent control performance and stability characteristics.

黄海文;张庚喜;张旭明;沈学飞;左加伟

国网冀北电力有限公司秦皇岛供电公司,河北 秦皇岛 066000国网冀北电力有限公司秦皇岛供电公司,河北 秦皇岛 066000国网冀北电力有限公司秦皇岛供电公司,河北 秦皇岛 066000国网冀北电力有限公司秦皇岛供电公司,河北 秦皇岛 066000国网冀北电力有限公司秦皇岛供电公司,河北 秦皇岛 066000

信息技术与安全科学

电缆巡检机器人自适应滑模控制多策略黑猩猩算法控制精度稳定性

cable inspection robotadaptive sliding mode controlmulti-strategy chimpanzee algorithmcontrol accuracystability

《科技创新与应用》 2026 (15)

35-38,43,5

国网冀北电力有限公司秦皇岛供电公司群众性创新项目(B3010425Z004)

10.19981/j.CN23-1581/G3.2026.15.009

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