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一种基于GA优化的NCS控制器

Controller design of networked control system based on GA
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摘要 针对网络控制系统(NCS)中控制器设计存在保守性以及控制参数的选择缺乏有效途径问题,提出一种改进的遗传算法(GA),用于NCS中远程控制器最佳控制增益的确定及其相关参数的调整。实验结果表明:GA具有很强的鲁棒性和自适应性,求解精度也较高;此外,与保成本控制器相比,经过GA优化的网络控制器可有效地提高系统的性能。 The controller in NCS are currently conservative and not effectiveness in selecting its parameters. A modified genetic algorithm (GA) was proposed. The algorithm was used to design the optimal controller gain and adjust other parameters of the controller. The experiment results show that the GA is robust and adaptive and the controller can effectively improve the performance of the NCS.
出处 《中南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2009年第S1期15-18,共4页 Journal of Central South University:Science and Technology
基金 国家自然科学基金资助项目(60574035 60674053)
关键词 网络控制系统(NCS) 保成本控制器 网络延迟 networked control system (NCS) guaranteed cost controller network-induced delay
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