ABOUT THE COURSE:The objective of this course is to provide an in-depth understanding of advanced aircraft control systems using MATLAB/SIMULINK. Over twelve weeks, students will learn state space modeling, controllability, observability, and the design of state feedback controllers and observers. The course covers optimal state space control and various nonlinear control techniques. Practical sessions will focus on simulating both linear and nonlinear systems, culminating in the integration of advanced controllers into aircraft models.INTENDED AUDIENCE: UG and PGPREREQUISITES: Mathematics for Engineers, Flight Dynamics, Aircraft Performance, Control SystemsINDUSTRY SUPPORT: HAL, NAL, ISRO, DRDO and Private Industries
Overview
Syllabus
Week 1: Introduction to modern control theory: state space modelling, state transition matrix. Canonical transformations – significance of real distinct, repeated and complex Eigen values, Examples.Week 2:Controllability and observability. Designing state feedback controllers. Method for finding feedback gains, Examples.Week 3:The State observer design. Observer dynamics faster than closed loop dynamics. Bass Gura formulation and Ackerman’s formula, SISO and MIMO systems. Examples.Week 4:Optimal state space control system design. Longitudinal / lateral stability augmentation systems, autopilot design. Examples.Week 5:Optimal state space control system design. Longitudinal / lateral stability augmentation systems, autopilot design. Examples. (Cont.)Week 6:Basics of nonlinear control. Lyapunov stability theory. Criteria for local and global stability, Feedback linearization technique. Input output linearization.Week 7:Backstepping Control. Sliding mode control. Backstepping sliding mode control. Adaptive Control. Adaptive integrator backstepping control. ExamplesWeek 8:Backstepping Control. Sliding mode control. Backstepping sliding mode control. Adaptive Control. Adaptive integrator backstepping control. Examples (Cont.)Week 9:Basics of MATLAB/SIMULINK, Simulation of linear systems, Simulating spring mass damper system and pendulum system. Implementing state-space models in Simulink.Week 10:Simulation of nonlinear controllers for general systems. Simulating aircraft nonlinear 6 degree of freedom equations of motion in MATLAB / SIMULINK. Simulating aircraft motion using state space model.Week 11:Simulation of nonlinear controllers for general systems. Simulating aircraft nonlinear 6 degree of freedom equations of motion in MATLAB / SIMULINK. Simulating aircraft motion using state space model. (Cont.)Week 12:Integrating PID controller to the Simulink model. Implementing nonlinear controllers such as sliding mode, backstepping to the aircraft model.
Taught by
Prof. Dipak Kumar Giri, Prof.Prabhjeet Singh
