适应性通用类型-2模糊模型控制基于非线性网络系统的数据包丢失
Tarek R Khalifa1, Xian Yu2, Xiaopin Zhong3
1College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, 518060, Guangdong, China; College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, Guangdong, China; Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Menoufia, Egypt.
本研究介绍了针对面临数据包丢失的网络控制系统 (NCS) 的基于模糊模型的适应性通用类型-2控制 (AGT2-FMBC). 这种新的方法确保了系统稳定性和最佳的跟踪性能,尽管存在通信不确定性.
科学领域:
- 控制系统工程 控制系统工程
- 模糊逻辑系统 模糊逻辑系统
- 网络控制系统 (NCS) 是指网络控制系统.
背景情况:
- 网络控制系统 (NCS) 容易因通信通道中的数据包丢失而导致性能下降.
- 模拟NCS中的不确定性和非线性对于有效控制至关重要.
- 现有的控制方法在间歇性通信下经常难以保持稳定性和性能.
研究的目的:
- 为具有数据包丢失的NCS提出一种基于模糊模型的新型适应性通用类型-2控制 (AGT2-FMBC).
- 设计一种通用类型-2模糊模型 (GT2FM),用于在线表示具有不确定性的非线性系统.
- 开发一个自适应控制算法,确保稳定性和最佳跟踪性能.
主要方法:
- 设计了一个通用类型-2模糊模型 (GT2FM),具有通用类型-2模糊集和Takagi-Sugeno后果.
- 使用伯努利分布建模了数据包丢失,并实施了缓冲器以减轻其影响.
- 一个通用型-2模糊控制器 (GT2FC) 是使用并行分布补偿和直接模糊化方法开发的.
- 新的自适应在线定律是使用Lyapunov稳定定理得出的.
主要成果:
- 拟议的AGT2-FMBC有效地处理NCS中的数据包丢失.
- GT2FM准确地表示具有在线不确定性的非线性系统.
- 适应性控制法确保了趋同和稳定.
- 控制器在三个非线性NCS的模拟中表现出稳健性.
结论:
- AGT2-FMBC为控制带有数据包丢失的非线性NCS提供了强大而有效的解决方案.
- 控制器的自适应性允许在线参数调整,提高性能.
- 该研究通过对基准非线性系统进行严格的测试来验证拟议方法的有效性.
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