A comparison of model-based and data-driven controller tuning

被引:91
作者
Formentin, Simone [1 ]
van Heusden, Klaske [2 ]
Karimi, Alireza [3 ]
机构
[1] Univ Bergamo, Dipartimento Ingn Informaz & Metodi Matemat, Bergamo, Italy
[2] Univ British Columbia, Vancouver, BC V5Z 1M9, Canada
[3] Ecole Polytech Fed Lausanne, Lab Automat, CH-1015 Lausanne, Switzerland
关键词
data-driven controller tuning; model reference control; accuracy analysis; DESIGN; REDUCTION; BENCHMARK; SYSTEM;
D O I
10.1002/acs.2415
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In many industrial applications, finding a model from physical laws that is both simple and reliable for control design is a hard and time-consuming undertaking. When a set of input/output measurements is available, one can derive the controller directly from data, without relying on the knowledge of the physics. In the scientific literature, two main approaches have been proposed for control system design from data. In the 'model-based' approach, a model of the system is first derived from data and then a controller is computed-based on the model. In the 'data-driven' approach, the controller is directly computed from data. In this work, the previous approaches are compared from a novel perspective. The main finding of the paper is that, although from the standard perspective of parameter variance analysis the model-based approach is always statistically more efficient, the data-driven controller might outperform the model-based solution for what concerns the final control cost. Copyright (C) 2013 John Wiley & Sons, Ltd.
引用
收藏
页码:882 / 897
页数:16
相关论文
共 27 条
[1]  
[Anonymous], 1999, SYSTEM IDENTIFICATIO
[2]  
[Anonymous], 2010, THESIS ECOLE POLYTEC
[3]   Virtual reference feedback tuning: a direct method for the design of feedback controllers [J].
Campi, MC ;
Lecchini, A ;
Savaresi, SM .
AUTOMATICA, 2002, 38 (08) :1337-1346
[4]  
Dehghani A, 2006, AUTOMATICA
[5]  
Formentin S., 2011, IFAC P VOLUMES IFAC, V44, P10243, DOI [10.3182/20110828-6-IT-1002.02761, DOI 10.3182/20110828-6-IT-1002.02761]
[6]   Data-Driven Design of Braking Control Systems [J].
Formentin, Simone ;
De Filippi, Pierpaolo ;
Corno, Matteo ;
Tanelli, Mara ;
Savaresi, Sergio M. .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2013, 21 (01) :186-193
[7]   Virtual reference direct design method: An off-line approach to data-based control system design [J].
Guardabassi, GO ;
Savaresi, SM .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2000, 45 (05) :954-959
[8]   From experiment design to closed-loop control [J].
Hjalmarsson, H .
AUTOMATICA, 2005, 41 (03) :393-438
[9]  
HJALMARSSON H, 1994, IEEE DECIS CONTR P, P1735, DOI 10.1109/CDC.1994.411185
[10]   Iterative correlation-based controller tuning [J].
Karimi, A ;
Miskovic, L ;
Bonvin, D .
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2004, 18 (08) :645-664