摘要
提出一种新型的基于T-S模糊模型和小世界优化算法的广义非线性预测控制策略.采用基于混沌遗传算法的T-S模糊模型描述复杂非线性系统的动态特性,构成模糊多步预报器.同时,针对现有基于二进制和十进制编码小世界优化算法运行时间长等缺点,提出一种新型的基于实数编码的小世界优化算法,函数测试和应用于非线性预测控制的滚动优化反映了其较强的寻优能力.最后,将其应用于基于实际数据的T-S模糊模型的广义非线性预测控制,满足了系统实时性和快速稳定性的要求.
A novel generalized nonlinear predictive controller based on T-S fuzzy model and small-world algorithm is proposed.The dynamic of nonlinear system object is described by T-S fuzzy model based on chaos genetic algorithm,so a multi-step fuzzy predictor is derived.Furthermore,a novel small-world optimization algorithm with real-coding is proposed in order to avoid the deficiency of small-world optimization algorithm with binary and decimal coding or decoding,function tests and applying in moving horizon of nonlinear predictive control reflect the strong ability to optimize.Finally,generalized nonlinear predictive controller based on T-S fuzzy model of real data and a novel small-world optimization algorithm with real-coding meets the requirements of speed and real-time of control system well.
出处
《控制与决策》
EI
CSCD
北大核心
2011年第5期673-678,共6页
Control and Decision
基金
国家自然科学基金项目(50776005)
关键词
小世界优化算法
实数编码
T-S模糊模型
广义非线性预测控制
过热汽温
small-world optimization algorithm
real-coding
T-S fuzzy model
generalized nonlinear predictive control
overheated steam temperature
