Jay Hitendrakumar Khatri
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jay Hitendrakumar Khatri has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Jayant Kumar Mohanta
Department of Mechanical Engineering, Indian Institute of Technology Jodhpur, Rajasthan, India
1 shared publication - Sandeep Gupta
Indian Institute of Technology Kanpur
1 shared publication - Santhakumar Mohan
Indian Institute of Technology Palakkad
1 shared publication
Latest Publications
- Open Access
- 5 July 2023
- Published by Association for Computing Machinery (ACM)
- p. 1-6
Modelling and Robust Control of Hybrid Unmanned Aerial-Underwater Robot in the Presence of Uncertainty
A "Hybrid" vehicle is one that has the potential to operate in more than one environment. This work demonstrates a robust backstepping control algorithm for the autonomous transmedia operation of a hybrid unmanned aerial-underwater vehicle in the presence of uncertainty. The simplified mathematical model is considered to depict the entire controller design procedure. The numerical simulation is carried out to demonstrate the proposed control system’s efficiency and compare it to existing PID control. The vehicle’s transient behaviour is compared in six different transmedia manoeuvres between air and water. The suggested control system is evaluated for stability in aerial manoeuvres and transmedia manoeuvres with respect to the conventional PID algorithm in the MATLAB-Simulink environment to demonstrate the superiority of the proposed algorithm.
- 5 July 2023
- Published by Association for Computing Machinery (ACM)
- p. 1-6
Open AccessModelling and Robust Control of Hybrid Unmanned Aerial-Underwater Robot in the Presence of Uncertainty
A "Hybrid" vehicle is one that has the potential to operate in more than one environment. This work demonstrates a robust backstepping control algorithm for the autonomous transmedia operation of a hybrid unmanned aerial-underwater vehicle in the presence of uncertainty. The simplified mathematical model is considered to depict the entire controller design procedure. The numerical simulation is carried out to demonstrate the proposed control system’s efficiency and compare it to existing PID control. The vehicle’s transient behaviour is compared in six different transmedia manoeuvres between air and water. The suggested control system is evaluated for stability in aerial manoeuvres and transmedia manoeuvres with respect to the conventional PID algorithm in the MATLAB-Simulink environment to demonstrate the superiority of the proposed algorithm.