基于局部化技术的多模型自适应控制
Localization Based Multi-Model Adaptive Control
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摘要: 对一类含跳变参数的单输入单输出离散时间被控对象,建立由多固定模型和自适应 模型组成的多模型,并通过引入指标切换函数构成多模型自适应极点配置控制器,在保证闭 环系统稳定的前提下,改善系统瞬态响应.同时采用局部化(Localization)技术优化多模型模 型集,在不损失计算精度的前提下,大大减少了计算量,提高了计算速度.Abstract: Multiple fixed models and adaptive models are set up to cover the uncertainty of a SISO discrete time system with unknown and jumping parameters, and a multi-model adaptive pole-assignment controller is proposed by using a switching index function. On the premise that closed-loop stability is guaranteed, this kind of multi-model adaptive control (MMAC) can improve the transient response greatly. At the same time, localization method is introduced to reduce the computation burden of multi-model algorithm without loss of accuracy.
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Key words:
- Multi-model /
- adaptive control /
- localization
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