Abstract
The new aspects provided by the current paper consist of merging the features of the two data-driven algorithms, Active Disturbance Rejection Control (ADRC) and Fictitious Reference Iterative Tuning (FRIT), that are reunited as ADRC-FRIT algorithm to improve the control performances of the three degrees of freedom Tower Crane Systems (TCSs). The ADRC-FRIT algorithm determines the optimal controller parameters by solving a gradient problem using the classical Gauss-Newton algorithm. Both ADRC and FRIT algorithms belong to the category of data-driven algorithms, i.e., the input/output data are used to compute the controller parameters. A comparison study of the new ADRC-FRIT algorithm with the ADRC algorithm is performed, where both algorithms are proven through experimental evaluation using the TCS laboratory equipment.
| Original language | English |
|---|---|
| Title of host publication | 2025 European Control Conference, ECC 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1735-1742 |
| Number of pages | 8 |
| Edition | 2025 |
| ISBN (Electronic) | 9783907144121 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 2025 European Control Conference, ECC 2025 - Thessaloniki, Greece Duration: 24 Jun 2025 → 27 Jun 2025 |
Conference
| Conference | 2025 European Control Conference, ECC 2025 |
|---|---|
| Country/Territory | Greece |
| City | Thessaloniki |
| Period | 24/06/25 → 27/06/25 |
Keywords
- active disturbance rejection control
- data-driven control
- fictitious reference iterative tuning
- tower crane systems
ASJC Scopus subject areas
- Control and Optimization
- Modeling and Simulation
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