Open AccessOptimisation of dynamic quantisation and control for quantised state feedback control system
Author(s) -
Soe Than Zaw,
Zanma Tadanao,
Tokunaga Atsuki,
Koiwa Kenta,
Liu Kang Zhi
Publication year - 2020
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0890
Subject(s) - computer science , control theory (sociology) , control (management) , state (computer science) , networked control system , telecommunications network , limit (mathematics) , control system , feedback control , optimal control , interval (graph theory) , control engineering , mathematics , engineering , algorithm , artificial intelligence , mathematical optimization , computer network , mathematical analysis , combinatorics , electrical engineering
Networked control systems (NCSs) are control systems closed through communication network and applied to remote control of robots, tele‐surgery and numerous industrial applications. In NCS, data have to coarsely quantised when the communication network is restricted due to the traffic limit. Under the traffic limitation, the design of an appropriate quantiser is highly important in realising a desired control performance. Further, the coordination of quantisation and control input also plays a decisive role. Towards an optimal balance between the traffic capacity of network and the control performance, this study proposes an MPC based approach for quantised state feedback control systems with dynamic quantisers. In the proposed approach, the control input and the quantisation interval of the quantiser are optimised online. The proposed method can explicitly treat input/state constraints, the parameter of quantiser and other physical restriction. The effectiveness of the proposed method is demonstrated by simulations and experiments.