摘要
融合型智能控制技术是通过将多种智能技术和控制策略相融合,用以解决单一传统控制技术应用在非线性系统、复杂系统和存在不确定因素影响系统中的有效性、适应性和可扩展性不足等问题的控制技术,旨在提高控制系统的科学技术性、鲁棒性和适应性。阐述了智能控制中的模糊控制、神经网络控制、滑模变结构控制以及遗传算法的特点,概述了模糊控制和神经网络控制、模糊控制和变结构控制、神经网络和变结构控制、遗传算法和模糊控制的融合方法,以及近年来各融合控制方法的应用场景,论述了智能控制的技术特性及其未来的发展趋势。
Integrated intelligent control technology integrates various intelligent technologies and control strategies to address the limitations of effectiveness,adaptability,and scalability posed by the singular use of traditional control technologies in nonlinear systems,complex systems,and systems influenced by uncertainty.This technology seeks to enhance the scientific and technological attributes,robustness,and adaptability of control systems.The paper expounds on the features of fuzzy control,neural network control,sliding mode variable structure control,and genetic algorithms within the realm of intelligent control.It provides an overview of the integration methods of fuzzy control with neural network control,fuzzy control with sliding mode variable structure control,neural network control with sliding mode variable structure control,and genetic algorithms with fuzzy control.Additionally,it highlights the application scenarios of each integrated control approach in recent years.The technical specifications of intelligent control and its prospective developmental trends are also discussed.
作者
陈岳飞
王理
喻准
肖克
樊翊中
CHEN Yuefei;WANG Li;YU Zhun;XIAO Ke;FAN Yizhong(Hunan Institute of Metrology and Test,Changsha 410014,China;Changsha Kuanghui Technology Co.,Ltd.,Changsha 410014,China)
出处
《计量科学与技术》
2023年第6期29-36,21,共9页
Metrology Science and Technology
基金
国家重点研发计划项目(2022YFF0609401)。
关键词
计量学
融合型智能控制
智能技术
性能优化
鲁棒性
自适应性
metrology
integrated intelligent control
intelligent technology
performance optimization
robustness
adaptability
