Position and Attitude Control Based on Single Neuron PID With Gravity Compensation for Quad Rotor UAV

Abstract

Aimed at the deficiency of existing PID controller for quad rotor UAV, a single neuron PID controller with gravity compensation is presented. After using feed forward control to compensate gravity, the position loop adopts PID control to ensure control accuracy, while the attitude loop adopts single neuron control to increase adaptive ability. Then, by using Matlab/simulink simulation software, the position control of quad rotor UAV is carried out, and the simulation result shows, compared with the traditional double closed loop PID controller, the control algorithm based on the Single Neuron adaptive PID with gravity compensation can effectively improve the robustness and adaptability of the quad rotor UAV system.

Intelligent Regulation of Temperature and Humidity in Vegetable Greenhouses Based on Single Neuron PID Algorithm

“…This system can achieve stable, precise, and smooth temperature and humidity control in complex greenhouse environments, providing valuable reference for future research and application of solar greenhouse temperature and humidity control systems. The heart of the control algorithm is the single neuron PID control [39], which uses neurons for online tuning of PID parameters, enhancing the controller's response speed and anti-interference capability, thereby achieving more stable, accurate, and smooth control effects in complex greenhouse environments. The control algorithm is deployed within the system-on-chip of the main control board.…”