δ-model Adaptive Algorithm Based on Plant-Parameterization
Focusing on adaptive control problems of nonlinear industrial processes, this paper proposes an modified iterative scheme of the closed-loop identification and design a δ-model adaptive controller based on plant-parameterization. The modification enables to identify the whole plant using only one coefficient and without the necessity of reducing the order of a new plant model. Moreover, instead of using a least squares algorithm, only a simple formula for identification is used. In addition, introduction ofδ-models helps to cope with numerical instabilities of discrete models occurring when a sampling interval is being shortened. Digital simulation demonstrates that the proposed algorithm brings about good control results.
adaptive algorithm Youla-Kucera parameter parameter identification least squares algorithm iterative methods
Liu Kai Qian Kun Yan Hao
Department of Electronic and Instrument, First Aeronautical Institute of Air Force, Xinyang, Henan, China, 464000
国际会议
第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)
重庆
英文
2421-2424
2009-08-01（万方平台首次上网日期，不代表论文的发表时间）