Tuning a fuzzy controller by particle swarm optimization for an active suspension system

Optimized fuzzy fractional PI-based MPPT controllers for a variable-speed wind turbine

“…The purpose of the PSO is to adjust the scaling factors of a fuzzy controller which are A and B for inputs and K p , K i , λ for outputs, so that it minimizes the objective function and therefore minimizes the error between the desired speed wind turbine and the speed at the exit of the turbine. The components of the system are described below (Hurel et al, 2012). The range of these outputs ( K p , K i , λ ) is from 0 to 300, 0 to 300, and 0 to 1, respectively.…”

Intelligent PSO-Fuzzy MPPT approach for Stand Alone PV System under Real Outdoor Weather Conditions

“…The movement of each particle in space research is based on its current position and velocity update. Indeed, at iteration k + 1, the position vector is calculated from the equation below [3]; [8]: The Fuzzy logic MPPT controllers are more used to be robust in the design and don't require the knowledge of the detailed model. The suggested FLC, is presented in Fig.…”

PSO-PD fuzzy control of distillation column

“…Therefore, adjusting of these parameters is the most commonly used technique for tuning fuzzy controllers [13] and is not usually straightforward, methods such trial and error could be time consuming [14]. Remarkably, bio-inspired intelligence approaches have been applied in recent years for tuning fuzzy controllers [15].…”