自动化学报2016，Vol.42Issue(8)：1158-1165,8.DOI:10.16383/j.aas.2016.c150583
考虑执行器饱和的改进无模型自适应控制
An Novel Improved Model Free Control Against Actuator Saturation
程志强 1朱纪洪 1袁夏明1
作者信息
- 1. 清华大学计算机科学与技术系 北京 100084
- 折叠
摘要
Abstract
Model free adaptive control (MFAC) is a data-driven based control approach. The advantages of this method lie in low computational complexity, strong robustness and no-need of modeling during its design progress. However, actuator saturation is a problem which is not yet considered in all of the existing MFAC methods. In this paper, a novel improved MFAC method is proposed to deal with the constrains of actuator. Hildreth method is used to solve control output by introducing constraint condition for the critical function of control input, which simplifies the programming progress and reduces the computing load. After that, the stability of the closed-loop system is proved through rigorous analysis. At the end, taking Wood/Berry distillation as the plant, a series of comparative simulation is conducted and the result shows a better performance by using the proposed controller than traditional MFAC methods when actuator saturation exists.关键词
无模型自适应控制/执行器饱和/鲁棒性/数据驱动Key words
Model free adaptive control (MFAC)/actuator saturation/robustness/data-driven引用本文复制引用
程志强,朱纪洪,袁夏明..考虑执行器饱和的改进无模型自适应控制[J].自动化学报,2016,42(8):1158-1165,8.
