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ME 132 Summary –Intro and motivation of Feedback Control Following a reference (lectures, sec 1, pp1-3, sec 5) Rejecting a disturbance (lectures, sec 1, pp1-3, sec 5) Increasing the speed-of-response (lectures, sec 1, pp1-3, sec 5) Doing all of the above robustly to process variations (lectures, sec 1, pp1-3, sec 5) Effect of sensor noise on process (lectures, sec 1, pp1-3, sec 5) Block diagrams (sec 2, pg 9) and Simulink (sec 3 and lecture) P and PI controller for simplified cruise-control (sec 5, sec 8) & simplified stick-balancing (sec 2, page 10-12)
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ME 132 Summary –Systems governed by ODEs (1 st order and higher), PPT file Input/output (sec 6, sec 7) Definition of stability (sec 7, pg 59) Theorems of stability, location of roots, 1 st, 2 nd, 3 rd, 4 th order tests (sec 7, pg 62-64) Characterizing homogeneous solutions (sec 7.3) Step responses and sinusoidal steady-state responses (sec 7.5, sec 11, complex number identities) Effect of right-hand-side of ODE on the response to inputs (sec 9 and 10)
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ME 132 Summary –Transfer function representation of systems governed by ODEs (sec12) Algebraic manipulations (derived by considering LDOs as fundamental) Characterizing stability, steady-state gain, frequency- response, etc., in terms of the transfer function (lectures, Sec 13) Matlab @tf class (HW in Sec 12) Basic properties of and (lectures, HW in sec 11 and 12)
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ME 132 Summary –Robustness Margins of Feedback Systems Gain margin Time delay margin Percentage-variation margin (“small-gain” theorem), (lectures) Phase Margin (lectures) Deriving L effective for general problem (handout, HW 6 in Section 14) –Controlling the position of an inertia using PI control with velocity feedback (PID control) (sec 23) –Saturation and Anti-Windup Logic in controllers with Integral action (sec 15, HW #7 in sec 18)
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ME 132 Summary –Systems governed by state-space models General form of state-equations (sec 3, sec 17, first 2 pages of sec 19) Rules for picking state variables in a few classes of systems (sec 16 and 17) Transfer function and Stability of a linear system of the form –Linearizing a nonlinear system about an equilibrium point (sec 18) Equilibrium points Deriving the linearization Regulating a system near an equilibrium point with a feedback controller (hw #7 and #8 in sec 18)
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ME 132 Summary –Intro and motivation of Feedback Control Following a reference (lectures, sec 1, pp1-3, sec 5) Rejecting a disturbance (lectures, sec 1, pp1-3, sec 5) Increasing the speed-of-response (lectures, sec 1, pp1-3, sec 5) Doing all of the above robustly to process variations (lectures, sec 1, pp1-3, sec 5) Effect of sensor noise on process (lectures, sec 1, pp1-3, sec 5) Block diagrams(sec 2, pg 9) and Simulink (sec 3 and lecture) P and PI controller for simplified cruise-control (sec 5, sec 8) & simplified stick-balancing (sec 2, page 10-12) –Systems governed by ODEs (1 st order and higher), PPT file Input/output (sec 6, sec 7) Definition of stability (sec 7, pg 59) Theorems of stability, location of roots, 1 st, 2 nd, 3 rd, 4 th order tests (sec 7, pg 62-64) Characterizing homogeneous solutions (sec 7.3) Step responses and sinusoidal steady-state responses (sec 7.5, sec 11, complex number identities) Effect of right-hand-side of ODE on the response to inputs (sec 9 and 10) –Transfer function representation of systems governed by ODEs (sec12) Algebraic manipulations (derived by considering LDOs as fundamental) Characterizing stability, steady-state gain, frequency-response, etc., in terms of the transfer function (lectures, Sec 13) Matlab @tf class (HW in Sec 12) Basic properties of and (lectures, HW in section 12) –Robustness Margins of Feedback Systems Gain margin Time delay margin Percentage-variation margin (“small-gain” theorem), (lectures) Phase Margin (lectures) Deriving L effective for general problem (handout, HW 6 in Section 14) –Controlling the position of an inertia using PI control with velocity feedback (PID control) (sec 23) –Saturation and Anti-Windup Logic in controllers with Integral action (sec 15, HW #7 in sec 18) –Systems governed by state-space models General form of state-equations (sec 3, sec 17, first 2 pages of sec 19) Rules for picking state variables in a few classes of systems (sec 16 and 17) Transfer function and Stability of a linear system of the form –Linearizing a nonlinear system about an equilibrium point (sec 18) Equilibrium points Deriving the linearization Regulating a system near an equilibrium point with a feedback controller (hw #7 and #8 in sec 18)
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