Adaptive predictive functional control of a class of nonlinear systems

被引:73
作者
Zhang, B [1 ]
Zhang, WD [1 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200030, Peoples R China
基金
中国国家自然科学基金; 高等学校博士学科点专项科研基金;
关键词
predictive functional control; nonlinear system; aggregation; dynamic linearization; base functions;
D O I
10.1016/S0019-0578(07)60188-8
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper describes the use of pseudo-partial derivative (PPD) to dynamically linearize a nonlinear system, and aggregation is applied to the predicted PPD, resulting in a model-free adaptive predictive control algorithm for a nonlinear system. The algorithm design is only based on the PPD derived online from the input/output data of the controlled process, however it does provide bounded input/output sequence and setpoint tracking without steady-state error. A detailed discussion on parameter selection is also provided. To show the capability of the algorithm, simulations of a time-delay plant and a pH neutralization process show that the proposed method is effective for system parameter perturbation and external disturbance rejection. (c) 2006 ISA-The Instrumentation, Systems, and Automation Society.
引用
收藏
页码:175 / 183
页数:9
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