most citedModeling and Optimal Control of Hybrid UAVs with Wind Disturbance

4 citations · 4 across the 2 of their papers we have counts for

collaborators

5 papers

eess.SY20204 cited

Modeling and Optimal Control of Hybrid UAVs with Wind Disturbance

Sunsoo Kim, Niladri Das, Raktim Bhattacharya

This paper addresses modeling and control of a six-degree-of-freedom unmanned aerial vehicle capable of vertical take-off and landing in the presence of wind disturbances. We desig…

eess.SY2020

Computationally Efficient Attitude Estimation with Extended Filtering

Sunsoo Kim, Vaishnav Tadiparthi, Raktim Bhattacharya

Accurate state estimation using low-cost MEMS (Micro Electro- Mechanical Systems) sensors present on Commercial-off-the-shelf (COTS) drones is a challenging problem. Most UAV syste…

math.OC2020

Nonlinear Attitude Estimation for Small UAVs with Low Power Microprocessors

Sunsoo Kim, Vaishnav Tadiparthi, Raktim Bhattacharya

Among algorithms used for sensor fusion for attitude estimation in unmanned aerial vehicles, the Extended Kalman Filter (EKF) is the most commonly used for estimation. In this pape…

eess.SY2020

H2 Optimized PID Control of Quad-Copter Platform with Wind Disturbance

Sunsoo Kim, Vedang Deshpande, Raktim Bhattacharya

Proportional-Integral-Derivative (PID) scheme is the most commonly used algorithm for designing the controllers for unmanned aerial vehicles (UAVs). However, tuning PID gains is a…

eess.SY2020

Kalman Filtering with Probabilistic Uncertainty in System Parameters

Sunsoo Kim, Vedang M. Deshpande, Raktim Bhattacharya

In this paper, we propose a robust Kalman filtering framework for systems with probabilistic uncertainty in system parameters. We consider two cases, namely discrete time systems,…