Data-driven control of hydraulic servo actuator: An event-triggered adaptive dynamic programming approach

Hydraulic servo actuators (HSAs) are often used in the industry in tasks that request great power, high accuracy and dynamic motion. It is well known that an HSA is a highly complex nonlinear system, and that the system parameters cannot be accurately determined due to various uncertainties, an inab...

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Vydané v:	Mathematical biosciences and engineering : MBE Ročník 20; číslo 5; s. 8561 - 8582
Hlavní autori:	Djordjevic, Vladimir, Tao, Hongfeng, Song, Xiaona, He, Shuping, Gao, Weinan, Stojanovic, Vladimir
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States AIMS Press 01.01.2023
Predmet:	adaptive dynamic programming data-driven control event-triggered control hydraulic servo actuator event-triggered control data-driven control adaptive dynamic programming hydraulic servo actuator
ISSN:	1551-0018, 1551-0018
On-line prístup:	Získať plný text
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Popis
Shrnutí:	Hydraulic servo actuators (HSAs) are often used in the industry in tasks that request great power, high accuracy and dynamic motion. It is well known that an HSA is a highly complex nonlinear system, and that the system parameters cannot be accurately determined due to various uncertainties, an inability to measure some parameters and disturbances. This paper considers an event-triggered learning control problem of the HSA with unknown dynamics based on adaptive dynamic programming (ADP) via output feedback. Due to increasing practical application of the control algorithm, a linear discrete model of HSA is considered and an online learning data driven controller is used, which is based on measured input and output data instead of unmeasurable states and unknown system parameters. Hence, the ADP-based data driven controller in this paper requires neither the knowledge of the HSA dynamics nor exosystem dynamics. Then, an event-based feedback strategy is introduced to the closed-loop system to save the communication resources and reduce the number of control updates. The convergence of the ADP-based control algorithm is also theoretically shown. Simulation results verify the feasibility and effectiveness of the proposed approach in solving the optimal control problem of HSAs.
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1551-0018 1551-0018
DOI:	10.3934/mbe.2023376