Adaptive unified predictive control applied to first-order-plus-dead-time processes to eliminate unknown class of deterministic disturbance

被引：0
|
作者：
Lin, S. K. [1 ]
Lee, A. C. [1 ]
机构：
[1] Natl Chiao Tung Univ, Dept Mech Engn, Hsinchu, Taiwan
来源：
EVOLVING SYSTEMS | 2012年 / 3卷 / 01期
关键词：
Unified predictive control; First order plus dead time process; RLS with forgetting factor; VRE; Unknown deterministic disturbance; Model uncertainty;
D O I：
10.1007/s12530-011-9039-9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel adaptive unified predictive control method (adaptive-UPC) is proposed and applied to the first-order-plus-dead-time (FOPDT) process models with model uncertainties (gain, time constant and dead-time) under unknown deterministic disturbances (step, ramp and the unknown frequency sinusoid). Based on indirect self-tuning regulator, this new control structure is constructed by combining UPC controller, recursive least-squares estimation with forgetting factor (RLS with forgetting factor) and variable regression estimation (VRE). By the simulation results, this scheme is proven to be applied to such process model with model uncertainties effectively.
引用
收藏
页码：45 / 56
页数：12
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