Optimal attitude control of a quadrotor UAV using Adaptive Neuro-Fuzzy Inference System (ANFIS)

Autor: Sina Rezazadeh, Mahdi Alinaghizadeh Ardestani, Parichehr Shahidi Sadeghi
Rok vydání: 2013
Předmět:
Zdroj: The 3rd International Conference on Control, Instrumentation, and Automation.
Popis: This paper develops an Adaptive Neuro-Fuzzy Inference System (ANFIS) to control a quadrotor UAV. Adaptive capabilities of the proposed controller help to stabilize the complex and under-actuated rotorcraft system. Parameters of the controller are optimized using Non- dominated Sorting Genetic Algorithm-II. Simulations show that ANFIS improves response properties compared to simple PID control.
Databáze: OpenAIRE