首页|ADAPTIVE DIRECT DATA DRIVEN CONTROL FOR UNKNOWN CLOSED LOOP SYSTEM
ADAPTIVE DIRECT DATA DRIVEN CONTROL FOR UNKNOWN CLOSED LOOP SYSTEM
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During this era of data science, vast data are collected to infer the unknown plant and unknown controller, existing in a closed loop system structure, which corresponds to direct data driven modelling and direct data driven control. This new paper studies the latter direct data driven control, i.e., designing that feedback controller based on measured input-output data sequence directly. Firstly, after introducing the basic essence of direct data driven control, nonparametric controller and parameterized control are all derived through our own derivations. Secondly, due to the widely application of adaptation into other aircraft control, adaptive idea is applied to identifying the unknown controller parameters, and its related algorithm is formulated in detail while analyzing the termination condition. Thirdly, to guarantee the dual goals, i.e., perfect tracking and asymptotic unbias estimation, Lyapunov function is constructed to derive the accurate nonparametric controller and parameterized controller. Fourthly, application of our considered adaptive direct data driven control is proved in a practical example of aircraft control. Generally, the mission of this paper is to apply adaptive idea into direct data driven control although research only on direct data driven control is very mature. Furthermore, perfect tracking and asymptotic unbias controller are guaranteed through Lyapunov function analysis.
AdaptationDirect data driven controlPerfect trackingLyapunov analysisAsymptotic unbiasClosed loop system
RUCHUN WEN、JIANHONG WANG、YANXIANG WANG、BOHUA ZENG
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School of Electronic Engineering and Automation Jiangxi University of Science and Technology No. 86, Hongqi Road, Ganzhou 341000, P. R. China
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