Hybrid Particle Swarm Optimization Bacterial Foraging control an agricultural Quadcopter

This article proposes a hybrid algorithm that combines Bacterial Foraging (BF) and Particle Swarm Optimization (PSO) to optimize the control parameters: Integral (I) controller plus Fuzzy-like Proportional and Derivative (Fuzzy-like PD) as the Fuzzy Scaling Factors (FSF) of the Fuzzy controller. The fitness function integral of time multiplied absolute error (ITAE) was utilized as a minima criterion to assess the control design effectiveness. The proposed controller is then applied to pilot a UAV Quadcopter model for usage in a variety of agricultural applications, including field observation, crop health monitoring, pesticide spraying, disease detection, etc. The numerical simulations perform the validity of the fast responses, stable and reliable without error.