Optimal controller FLC-Sugeno based on PSO for an active damping system
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https://doi.org/10.54939/1859-1043.j.mst.FEE.2023.55-63Keywords:
FLC-Sugeno; Particle Swarm Optimization; Active suspension system; Quarter-vehicle models.Abstract
In this article, a method of designing an optimal fuzzy logic controller Sugeno model (FLC-Sugeno) control for active suspension system Quarter-vehicle models is presented. The parameters of FLC-Sugeno controller are considered a whole and optimally searched using the Particle Swarm Optimization algorithm (PSO). The 16 optimized parameters include: 03 parameters for adjusting the domain of the input state variables and control variables at the controller’s output, 04 fuzzy set adjustment numbers of the linguistic variables and 09 parameters, which are the fuzzy rule weights of the rule system control. To compare and evaluate the effectiveness of the optimal FLC-Sugeno controller, and optimal PID controller using PSO is also implemented. Simulation results of the active damping system with controllers when affected by the same type and standard road surface excitation show that FLC-Sugeno controller is optimal for the vehicle bodies displacement amplitude to be significantly and quickly end the oscillation cycles, establishing a stable balance. This result shows an extension when applying the design direction to more complex active damping system models.
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