Multi-Objective On-Line Optimization Approach for the DC Motor Controller Tuning Using Differential Evolution.
Miguel Gabriel Villarreal-CervantesAlejandro Rodríguez-MolinaConsuelo Varinia García MendozaOllin Peñaloza-MejíaGabriel Sepúlveda-CervantesPublished in: IEEE Access (2017)
Keyphrases
- differential evolution
- optimization algorithm
- multi objective
- dc motor
- evolutionary algorithm
- optimization method
- multi objective optimization
- particle swarm optimization
- parameter optimization
- closed loop
- control system
- evolution strategy
- differential evolution algorithm
- optimization problems
- convergence speed
- particle swarm
- operating conditions
- multi objective optimization problems
- global optimization problems
- mutation operator
- evolutionary strategy
- multi objective evolutionary algorithms
- nsga ii
- particle swarm optimization pso
- multiple objectives
- real coded
- multi objective problems
- fine tuned
- multiobjective optimization
- mobile robot
- genetic algorithm
- control parameters
- permanent magnet
- global optimization
- pso algorithm
- objective function
- solving global optimization problems
- fuzzy logic controller
- crossover operator
- evolutionary computation
- pi controller
- steady state
- neural network
- real time
- fuzzy controller
- fitness function