Optimal State Feedback Control for Bicycle Stabilization using APT-FPSO Algorithm
Publish place: Journal of Computer and Robotics، Vol: 15، Issue: 1
Publish Year: 1401
Type: Journal paper
Language: English
View: 246
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Document National Code:
JR_JCR-15-1_001
Index date: 31 July 2022
Optimal State Feedback Control for Bicycle Stabilization using APT-FPSO Algorithm abstract
Advanced control systems are required to maintain bicycle stability due to its unstable open-loop behaviour. This work is aimed at designing an optimal state feedback control system for bicycle stabilization. The performance index of the optimal control system is minimized using the newly developed adaptive particularly tunable fuzzy particle swarm optimization algorithm. The states of the system are estimated using a state observer. The obtained results are compared with those of the linear–quadratic regulator (LQR). The main advantage of the developed control system is that, unlike the LQR controller that is limited to linear systems, it can be extended to nonlinear control systems.
Optimal State Feedback Control for Bicycle Stabilization using APT-FPSO Algorithm Keywords:
Optimal State Feedback Control for Bicycle Stabilization using APT-FPSO Algorithm authors
Mana Azim Araghi
Faculty of New Technologies Engineering, Shahid Beheshti University, Tehran, Iran
Seyed Mohammad Nami Mir Mohammad Sadeghi
Faculty of New Sciences & Technologies, University of Tehran, Tehran, Iran
Seyed Ali Mir Mohammad Sadeghi
Department of Mechanical Engineering, Virginia Tech, Blacksburg
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