A Discrete-Time Direct Adaptive Multiple-Model Control Scheme

被引:0
作者
Tan Chang [1 ]
Tao Gang [1 ,2 ]
Qi Ruiyun [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Jiangsu, Peoples R China
[2] Univ Virginia, Dept Elect & Comp Engn, Charlottesville, VA 22903 USA
来源
PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE | 2012年
关键词
Multiple-Model Design; Direct Adaptive Control; Transient Response; Stability and Tracking;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A new multiple-model adaptive control scheme for discrete-time systems is developed to improve the adaptive system transient response, by using a direct model reference adaptive control design. Such a scheme employs a bank of direct adaptive controllers whose parameters are initialized from different parameter subregions and directly updated on-line. A control switching mechanism is set up, by finding the minimal performance cost index which is based on estimation errors generated from the tracking error and the individual controller parameter estimates, to select the most appropriate controller to generate the control signal. Such a multiple-model adaptive scheme for systems with unknown sign of the system high frequency gain is also designed, by constructing two controllers whose adaptation is from modified robust adaptive laws with positive and negative adaption gains respectively. Simulation results are presented to show the improved system transient responses, as compared with that of a single-model adaptive control system, and the desired system performance in the system with unknown sign of the system high frequency gain.
引用
收藏
页码:2997 / 3002
页数:6
相关论文
共 12 条
[1]  
Astrom K.J., 1995, ADAPTIVE CONTROL
[2]   Multi-model unfalsified adaptive switching supervisory control [J].
Baldi, Simone ;
Battistelli, Giorgio ;
Mosca, Edoardo ;
Tesi, Pietro .
AUTOMATICA, 2010, 46 (02) :249-259
[3]  
Boskovic J. D., 2008, AIAA20087290
[4]  
Chang Tan, 2011, 8th Asian Control Conference (ASCC 2011), P1276
[5]   Robust multiple model adaptive control (RMMAC): A case study [J].
Fekri, Sajjad ;
Athans, Michael ;
Pascoal, Antonio .
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2007, 21 (01) :1-30
[6]  
Franklin G. F., 1994, Feedback Control of Dynamics Systems
[7]  
Ioannou P., 2006, Advances in design and control
[8]   Multiple Model Adaptive Control With Mixing [J].
Kuipers, Matthew ;
Ioannou, Petros .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2010, 55 (08) :1822-1836
[9]  
Narendra K., 2012, STABLE ADAPTIVE SYST
[10]   Adaptive control using multiple models [J].
Narendra, KS ;
Balakrishnan, J .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1997, 42 (02) :171-187