MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641080509 A) filed by Ashutosh Srivastava; Meenakshi K; Dr Panchikattil Susheelkumar Sreedharan; and Cmr Institute Of Technology on June 30, 2026, for Artificial Intelligence-Based Mathematical Modeling And Self-Evolving Pid Control Framework For Autonomous Unmanned Aerial Vehicles.
Inventors include Ashutosh Srivastava; Meenakshi K; and Dr Panchikattil Susheelkumar Sreedharan.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention relates to an intelligent flight control system for autonomous multirotor unmanned aerial vehicles (UAVs) that combines artificial intelligence with mathematical modeling to improve flight performance under changing operating conditions. The proposed system continuously analyzes data collected from onboard sensors, including the inertial measurement unit (IMU), GPS, barometer, battery monitoring system, motor current sensors, and other environmental sensors, to estimate the current dynamic behavior of the UAV. Unlike conventional PID controllers that use fixed or manually tuned control parameters, the proposed framework automatically updates the mathematical model of the UAV during flight and determines suitable proportional, integral, and derivative (PID) gains in real time. The system considers variations in payload, battery condition, aerodynamic effects, wind disturbances, motor performance, and mission requirements to maintain stable and accurate flight without the need for manual controller tuning. A digital twin of the UAV is used to predict the response of the system before applying updated control actions, thereby improving reliability and reducing the possibility of unstable operation. The invention also incorporates an explainable artificial intelligence module that provides understandable reasons for each control adjustment, making the system more transparent and easier to validate for practical deployment. By continuously adapting the control strategy to the current flight conditions, the proposed framework improves trajectory tracking accuracy, disturbance rejection, energy efficiency, and overall flight stability while reducing oscillations and actuator stress. The invention is suitable for a wide range of autonomous UAV applications, including aerial surveillance, logistics and parcel delivery, precision agriculture, infrastructure inspection, disaster management, defense operations, and other intelligent aerial robotic systems.
Disclaimer: Curated by HT Syndication.
