PhD Student, Indian Institute of Technology Guwahati, Assam INDIA
Design & analysis of self repairing controllers to compensate actuator failures in aerospace systems
My research proposes new autopilot design for safety critical systems such as large civil aircraft ensuring no casualties in the event of unanticipated uncertain control surface or engine failures unknown in time pattern and magnitude, within the framework of adaptive control. This technology after further developments will be extremely useful for the crew onboard to ensure a safe flight even in the case of such actuator failures. In my research, I have proposed decentralized adaptive schemes for longitudinal control of Boeing 747-100/200. This would be very much useful in the context of industrial relevance for example, taking into consideration the recent engine failures encountered by Jet Airways while take off. Fortunately, a catastrophic accident was avoided with the expertise of the pilots on board. The proposed schemes would prove to be valuable in guaranteeing acceptable output transient performance and flight safety with minimum intervention of the pilot in cases of unknown actuator failures. Hence, safety critical missions can be successfully accomplished.
Kindly refer to the following link to know more about my research interests and accomplishments so far. http://www.iitg.ac.in/stud/c.arghya/
Abstract: An active fault‐tolerant control scheme for discrete‐time systems is proposed to solve a difficult problem of fault‐tolerant controller design in the presence of partial loss of actuator effectiveness faults and structural parameter uncertainties assumed to be matched, using adaptive control techniques to help a faster and more accurate compensation of failure and uncertainty. An automated fault estimation scheme is developed together with an adaptive model parameter identification to obtain system parameter estimates. With these estimates fed back to the system, a model reference adaptive controller is constructed to achieve a desired tracking performance. Since parameters are obtained and updated online, the control system has an automatic failure compensation capability so as to recognize or reconfigure the control law in real time in response to failure indications. The stability and convergence follow from discrete‐time Lyapunov arguments. Simulation results from the linearized lateral dynamics model of the Boeing 747 airplane are presented to show the efficiency of proposed methods.
Pub.: 14 Oct '15, Pinned: 25 Aug '17
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