Position control of a quadcopter drone using evolutionary algorithms-based self-tuning for first-order Takagi-Sugeno-Kang fuzzy logic autopilots.
Edwar YazidMatthew GarrattFendy SantosoPublished in: Appl. Soft Comput. (2019)
Keyphrases
- evolutionary algorithm
- fuzzy logic
- takagi sugeno kang
- position control
- pid controller
- control system
- fuzzy rules
- fuzzy control
- membership functions
- fuzzy inference system
- back propagation
- fuzzy modeling
- evolutionary computation
- fuzzy model
- neuro fuzzy
- closed loop
- fuzzy neural network
- control scheme
- genetic algorithm
- fuzzy logic controller
- multi objective
- fuzzy sets
- fuzzy controller
- rule base
- bp neural network
- neural network
- differential evolution
- fuzzy inference
- robotic manipulator
- control strategies
- fitness function
- force control
- fuzzy systems
- control strategy
- intelligent control
- control method
- particle swarm optimization
- computational intelligence
- soft computing
- hybrid learning
- fault diagnosis
- dc motor
- control parameters
- control architecture
- decision making
- control algorithm
- genetic programming
- fuzzy clustering
- control law
- hybrid models
- robot manipulators
- feedback loop
- rule sets
- input output
- artificial neural networks
- robot arm
- end effector
- real time
- expert systems