WUSTL ESE 543 - ESE 543 Homework 9 Optimal Control (2 pages)

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ESE 543 Homework 9 Optimal Control



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ESE 543 Homework 9 Optimal Control

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Pages:
2
School:
Washington University in St. Louis
Course:
Ese 543 - Control Systems Design by State Space Methods

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Optimal Control Homework 1 Consider x 1 x 2 x 2 2 x1 3 x 2 u 2 J x1 T x22 T t0 0 T 1 T x1 u 4 2 1 x 0 2 d t0 Set up but do not solve the Hamilton Jacobi equation for this case include the boundary conditions 2 Consider x x u 1 2 2 J x 1 x u d 2 0 Use the Riccati Equation to find the optimal feedback control u t F t x t 3 Consider x 1 x 2 x 2 x1 u J x1 u 2 2 d 0 Use the Algebraic Riccati Equation ARE to find u to minimize J 4 Missile autopilot design problem The goal of this problem is to design a controller that can satisfy stability performance and robustness design goals Since this is a missile we want the speed of response to be as fast as possible The problem will be evaluated based on your explanation as to why the controller you call the design is a good one and how you selected the LQR penalty parameters to achieve the design The project goal is to design an autopilot controller without explicitly using the knowledge of the actuator dynamics that is robust to the actuator specified in part b below By not using the actuator dynamics in the design model the states of the actuator will not have to be measured for feedback in the implementation Consider at this flight condition a maximum command of 10 degree angle of attack with an actuator that has a rate limit of 200 deg s a A linear model of a missile s longitudinal dynamics is given by Z q M 1 Z 0 q M Z 1 3046 1 s Z 0 2142 1s M 47 7109 M 104 8346 1 s 2 1 s 2 Design a Robust Servo LQR controller to track constant AOA commands using state feedback Simulate your design step response Analyze your design in the frequency domain Turn in a step response Bode plot Nyquist plot and singular value frequency responses for I L and I L 1 Comment on the effect of choosing your LQR penalty parameters on the time domain response and frequency domain plots b Add 2nd order actuator dynamics 0 707 n 20 to this model and repeat the simulation and frequency domain analysis completed in part 1 using the controller you designed in



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