.png){kind=icon}
.png){kind=icon}
Return
Hybrid Data-Driven Active Disturbance Rejection Sliding Mode Control with Tower Crane Systems Validation
.png){kind=icon}
OA
AI
R
R
E
B
DOI：10.59277/ROMJIST.2024.1.04.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper proposes a combination of a data-driven algorithm represented by continuous-time Active Disturbance Rejection Control (ADRC) and a Sliding Mode Control (SMC) algorithm. The purpose of this hybrid controller referred to as ADRC-SMC is to improve the overall control-loop system performance while guaranteeing its stability. This will be done through clear, simple, and transparent steps of controller design in a novel real formulation focused on practical implementation. The parameters of the novel second-order continuous-time ADRC-SMC algorithm are optimally tuned using a metaheuristic slime mould algorithm. The purpose of obtaining the parameters of the ADRC-SMC algorithms in this model-based manner is to reduce the heuristics and further ensure a fair performance comparison of the ADRC-SMC algorithm with that of the popular ADRC algorithm. The data-driven second-order continuous-time ADRC and ADRC-SMC algorithms are validated experimentally validated on tower crane laboratory equipment.
Keywords:
Active disturbance rejection control system structure
sliding mode control
slime mould algorithm
tower crane system
real-time experiments
Journal
R
IF:
3.9
Papers:
26
Citations:
442
Organization
Cited Papers