On estimating the efficiency of a neural optimizer for the parameters of a PID controller for heating objects control.
Yuri I. EremenkoD. A. PoleshchenkoAnton I. GlushchenkoA. M. LitvinenkoA. A. RyndinE. S. Podval'nyiPublished in: Autom. Remote. Control. (2014)
Keyphrases
- pid controller
- proportional integral derivative
- control method
- control parameters
- control system
- fuzzy pid control
- conventional pid
- pid parameters
- tuning parameters
- pid control
- fuzzy logic controller
- control scheme
- fuzzy pid
- fractional order
- highly nonlinear
- closed loop
- single neuron
- fuzzy pid controller
- particle swarm optimization
- control strategy
- fuzzy control
- networked control systems
- strong robustness
- control algorithm
- pi controller
- temperature control
- neural network
- optimization algorithm
- scaling factors
- matlab simulink
- operating conditions
- real time control
- transfer function
- fuzzy controller
- real time
- intelligent control
- genetic algorithm
- bp neural network
- rbf neural network
- adaptive control
- induction motor
- control strategies
- global optimization
- bacterial foraging
- mathematical model
- control theory
- computational intelligence
- learning algorithm
- feedback control