Methods of Pre-Identification of TITO Systems

被引:1
|
作者
Saga, Milan [1 ]
Perutka, Karel [2 ]
Kuric, Ivan [1 ]
Zajacko, Ivan [1 ]
Bulej, Vladimir [1 ]
Tlach, Vladimir [1 ]
Bezak, Martin [3 ]
机构
[1] Univ Zilina, Fac Mech Engn, Univ 8215-1, Zilina 01026, Slovakia
[2] Tomas Bata Univ Zlin, Fac Appl Informat, Nad Stranemi 4511, Zlin 76005, Czech Republic
[3] VIPO As, Gen Svobodu 1069-4, Partizanske 95801, Slovakia
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 15期
关键词
pre-identification; least squares method; instrumental variable method; robotics; sensor; INTERCONNECTED NONLINEAR-SYSTEMS; DECENTRALIZED CONTROL; TRACKING CONTROL; MOBILE ROBOTS; NETWORK;
D O I
10.3390/app11156954
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The content of this article is the presentation of methods used to identify systems before actual control, namely decentralized control of systems with Two Inputs, Two Outputs (TITO) and with two interactions. First, theoretical assumptions and reasons for using these methods are given. Subsequently, two methods for systems identification are described. At the end of this article, these specific methods are presented as the pre-identification of the chosen example. The Introduction part of the paper deals with the description of decentralized control, adaptive control, decentralized control in robotics and problem formulation (fixing the identification time at the existing decentralized self-tuning controller at the beginning of control and at the beginning of any set-point change) with the goal of a new method of identification. The Materials and methods section describes the used decentralized control method, recursive identification using approximation polynomials and least-squares with directional forgetting, recursive instrumental variable, self-tuning controller and suboptimal quadratic tracking controller, so all methods described in the section are those ones that already exist. Another section, named Assumptions, newly formulates the necessary background information, such as decentralized controllability and the system model, for the new identification method formulated in Pre-identification section. This section is followed by a section showing the results obtained by simulations and in real-time on a Coupled Drives model in the laboratory.
引用
收藏
页数:15
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