Optimal Design of PID Controller for the Speed Control of DC Motor by Using Metaheuristic Techniques

Table 8

Parameters setting and fitness function.

Fitness function:
GA parameters	PSO parameters	SA parameters	NM parameters
Population type: double vector	Population type: double vector	Max. evaluations: 3000	Max. iterations: 200
Population size: 20	Population size: 40	Initial temperature: 100	Max. function evaluations: 600
Selection function: tournament	Cognitive attraction: 0.5	Temperature update function: exponential	Start point = Best parameters of SA, GA, PSO
Crossover fraction: 0.8	Social attraction: 1.25	Reannealing interval: 100
Mutation function: Gaussian	Stall generations: 50	Annealing function: Boltzmann	Others = Default
Stall generations: 50	Function tolerance:	Stall iterations: 500	tolerance:
Function tolerance:	Number of epochs: 100	Function tolerance:	Function tolerance:
Number of epochs: 100	Others = Default	Number of epochs: 100	Number of epochs: 100