Research Article

Fractional-Order Predictive Functional Control of Industrial Processes with Partial Actuator Failures

Table 4

Related adjustable parameters used in three different evolutionary algorithms and corresponding optimal parameters in FOPFC.

AlgorithmRelated adjustable parametersNumber of adjustable parametersOptimal parameters in FOPFC

GA-FOPFCPopulation size NP = 30, maximum number of iterations Imax = 50, crossover probability pc = 0.8, mutation parameter b = 34P = 4, γ= 2.3549, λ = 0.8650

PSO-FOPFCSwarm size NP = 30, maximum number of iterations Imax = 50, acceleration factors c1 = 1.49, c2 = 1.49, limits of velocity Vmax = 2, Vmin = −26P = 3, γ= 0.8009, λ = 1.000

PEO-FOPFCPopulation size NP = 10, maximum number of iterations Imax = 50, parameter b = 3 used in MNUM operation3P = 2, γ= 0.5659, λ = 0.831