Optimal State Feedback Control for Bicycle Stabilization using APT-FPSO Algorithm

Subject Areas : Journal of Computer & Robotics

Mana  Azim Araghi ¹ (Faculty of New Technologies Engineering, Shahid Beheshti University, Tehran, Iran)
Seyed Mohammad Nami  Mir Mohammad Sadeghi ² (Faculty of New Sciences & Technologies, University of Tehran, Tehran, Iran)
Seyed Ali  Mir Mohammad Sadeghi ³ (Department of Mechanical Engineering, Virginia Tech, Blacksburg)

Received: 2022-02-13 Accepted : 2022-03-16 Published : 2022-07-01

Keywords: Optimal Control, Bicycle stabilization, State observer, 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.

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