A Novel Technique for PID Tuning by Linearized Biogeography-Based Optimization

Boghdady, Tarek A.; Sayed, Mahmoud M.; Emam, Ahmed; El-Zahab, E.E. Abu

doi:10.1109/cse.2014.153

Cited by 6 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Reference [12], the observer based method is deeply studied, and an improved PI observer based on adaptive gain scheduling method and its design method are proposed. In addition, in References [13,14], the parameter estimation problem of PI observer was considered, and the optimal planning algorithm for determining the optimal parameters was designed. In the simulation, the overshoot of fault estimation process was obviously reduced, and the robustness of PI control system was effectively improved.…”

mentioning

confidence: 99%

Fault Diagnosis Algorithm Based on Adjustable Nonlinear PI State Observer and Its Application in UAV Fault Diagnosis

et al. 2021

View full text Add to dashboard Cite

Aiming at the problem of fault diagnosis in continuous time systems, a kind of fault diagnosis algorithm based on adaptive nonlinear proportional integral (PI) observer, which can realize the effective fault identification, is studied in this paper. Firstly, the stability and stability conditions of fault diagnosis method based on the PI observer are analyzed, and the upper bound of the fault estimation error is given. Secondly, the fault diagnosis algorithm based on adjustable nonlinear PI observer is designed and constructed, it is analyzed and we proved that the upper bound of fault estimation under this algorithm is better than that of the traditional method. Finally, the L-1011 unmanned aerial vehicle (UAV) is taken as the experimental object for numerical simulation, and the fault diagnosis method based on adaptive observer factor achieves faster response speed and more accurate fault identification results.

show abstract

mentioning

confidence: 99%