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Control Theory Lachlan Blackhall and Tyler Summers
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Control Theory Advanced control methods are model based Use a mathematical model of the system to design controllers Controller System Dynamics uy
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State Space Models Inputs, outputs describe external behavior of system State variables describe internal behavior of system Mathematical model:
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Optimal Control Fundamental engineering problem: design the “best” controller given some constraints Choose a function to solve minimize subject to
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Optimal Control Optimal control problems are hard –Infinite-dimensional, non-convex in general Linear quadratic problems are solvable minimize subject to
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Linear Quadratic Regulator Assume y = x (i.e. C = I) LQR = linear quadratic regulator Solution: optimal cost given by Optimal controller linear in state
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The Kalman Filter Often not possible to measure x directly where v is measurement noise Estimate x from measurements y (choose a function ) Solution similar to LQR –State estimate is linear in measurements y
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Linear Quadratic Gaussian LQG = LQR + Kalman Filter minimize subject to Optimal solution: from Kalman filter
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LQR Example Vectored thrust aircraft
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LQR Example Equations of motion (Newton’s Laws) Nonlinear! –We can linearize any nonlinear system about an equilibrium point
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LQR Example Equilibrium point: State space model
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LQR Example Linear model
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LQR Example Simulation
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Automotive Many subsystems in modern cars use control principles. –http://www.youtube.com/watch?v=MfOgwr hJG8A - Volvo Collision Avoidancehttp://www.youtube.com/watch?v=MfOgwr hJG8A –http://www.youtube.com/watch?v=16Izr52l pFw&feature=related - Lexus auto parkhttp://www.youtube.com/watch?v=16Izr52l pFw&feature=related
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Automotive (cont.) DARPA Challenge –Two challenges. The first to drive unaided across the desert. The second to drive unaided around a city while performing a number of common tasks like parking. –http://www.youtube.com/watch?v=BSS0MZvoltwhttp://www.youtube.com/watch?v=BSS0MZvoltw Google Self Driving Car –http://www.youtube.com/watch?v=64w-v-RJpk8http://www.youtube.com/watch?v=64w-v-RJpk8
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Aeronautical Aircraft have been an obvious candidate for control systems given the complexity of these systems. Autopilots are a obvious example. Preventing the Dutch roll mode when landing was solved using a control system called a yaw damper. –http://www.youtube.com/watch?v=jtBYlwp6 ygUhttp://www.youtube.com/watch?v=jtBYlwp6 ygU
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Aeronautical (cont.) Traditionally, the performance (manoeuvrability, etc…) and handling of an aircraft were limited by the stability properties of an aircraft. Modern control systems have solved this fundamental problem ensuring stability but allowing high performance. Modern fighter aircraft are actually unstable. A human pilot can no longer control the plane but a control system can make the system stable and high performance.
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Aeronautical (cont.) Modern aircraft now have fly-by-wire control systems that include: –Autopilot –Yaw dampers –Vibration damping –Auto-landing –Flutter prevention
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Aeronautical (cont.) Other aeronautical systems where control is used include –http://www.youtube.com/watch?v=96WePg cg37I – nano hummingbirdhttp://www.youtube.com/watch?v=96WePg cg37I –UAV collision avoidance –Space launch vehicles –Satellites
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