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作 者:程思敏 李晨涛 CHENG Simin;LI Chentao(Guangdong Power Grid Limited Liability Company Guangzhou Power Supply Bureau,Guangzhou 510000,China)
机构地区:[1]广东电网有限责任公司广州供电局,广州510000
出 处:《微特电机》2025年第4期66-70,共5页Small & Special Electrical Machines
摘 要:为了提升高压隔离开关控制系统的稳定性与运行效率,提出了一种基于天牛须搜索融合粒子群算法的优化模型,用以精准调控外置式伺服电机的驱动。该模型深度融合了天牛须搜索算法的高效寻优特性与粒子群算法强大的群体智能优势,显著优化了系统的控制性能。通过设计本地与远程两种控制场景,对外置式伺服电机展开了控制验证试验。试验结果充分表明,此优化策略具有极高的可靠性与稳定性。该算法凭借更快的收敛速度和响应速度,有力保障了控制操作的即时性,为电力系统控制的优化升级提供了有力的技术支持,在实际工程应用中具有重大价值。In order to enhance the stability and efficiency of the high-voltage isolation switch control system,an optimization model based on the Tennius whisker-search fusion particle swarm optimization algorithm is proposed for precise control of the external servo motor drive.This model integrates the efficient optimization features of the Tennius whisker search algorithm with the robust swarm intelligence advantages of the particle swarm optimization algorithm,thereby significantly improving the control performance of the system.By designing both local and remote control scenarios,verification tests for the external servo motor control were conducted.The experimental results demonstrate that this optimization strategy exhibits high reliability and stability.With faster convergence and response speeds,the algorithm ensures the immediacy of control operations,providing strong technical support for the optimization and upgrading of power system control,and holds significant value in practical engineering applications.
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