Title :
PSO-based state feedback regulator for stabilizing a two-wheeled wheelchair in balancing mode
Author :
Aula, Abqori ; Ahmad, Salmiah ; Akmeliawati, Rini
Author_Institution :
Intelligent Mechatronics System Research Unit, Department of Mechatronics Engineering, International Islamic University Malaysia, Gombak, 50728 Kuala Lumpur, Malaysia
fDate :
May 31 2015-June 3 2015
Abstract :
In this paper, the state feedback control design problem for stabilizing a two-wheeled wheelchair in balancing mode is considered. The system is modeled as double-inverted pendulum on two wheels. The calculation of state feedback control gains is conventionally handled by LQR method via Riccati equation. Unfortunately, the method still possesses trial and error approach when choosing some parameters, in particular tuning the elements of Q and R weighting matrices. Therefore, an intelligent numerical method to resolve this problem is proposed by adopting PSO algorithm. The simulation work is carried out to evaluate the effectiveness of the proposed method. The result shows that the numerical method reduces tuning time and improves the performance of the system.
Keywords :
Conferences; Mathematical model; Particle swarm optimization; State feedback; Tuning; Wheelchairs; Wheels; LQR; PSO; optimization; state feedback control; two-wheeled wheelchair;
Conference_Titel :
Control Conference (ASCC), 2015 10th Asian
Conference_Location :
Kota Kinabalu, Malaysia
DOI :
10.1109/ASCC.2015.7244680