Team Lead
o Automotive Fault Prognostics
- Automotive Engine Modeling
- Development of Fault Diagnostics /Prognostics Algorithms
This thesis deals with robust control strategies from linear and nonlinear techniques for helicopter system. This system is prone to highly disturbing interstate cross-couplings and perturbations in center of gravity that affects smooth flights. The presented controllers offer solutions for smooth tracking in presence of strong cross-couplings and disturbing torques caused by perturbation in center of gravity. The H∞ controller employed from linear robust control theory involves traditional and Hadamard weights in controller synthesis process. However the designed controller works for linear range only and robustness is achieved at the cost of performance or vice versa. The second attempt involves the sliding mode controllers from nonlinear theory. This technique delivers solution against cross-couplings and disturbing torques caused by variation in center of gravity is solved by using 2-sliding mode controller. These nonlinear controllers control the system in nonlinear range. Meanwhile an attempt to design sliding surface from Linear Matrix inequalities algorithms delivers the solution which is not suitable for practical implementation. The designed controllers are validated by implementing on helicopter model, after successful numerical simulations.
Pro-Engineer based simulation for Stewart platform Dynamical Analysis (Presented at IFAC, WC 2008)
Presentation @ Conference of Control Applications, MSC 2009, St. Petersburg, Russia
Presentation @ Asian Control Conference (ASCC'09), Hong Kong
Presentation @ SIAM Conference on Control and Its Applications 2009, Colorado, USA.
Presentation @ International Fedration of Automatic Control, World Congress 2008, Seoul, Korea.
Presentation @ Conference of Control Applications, MSC 2008, Texas, USA
Presentation @ Robotics Educators Conference 2008, Carnegie Mellon University Robotics Academy