Transcription of Lab 2: Basic Concepts in Control System Design
{{id}} {{{paragraph}}}
Example: confidence
Lab 2: Basic Concepts in Control System Design
ME C134 / EE C128 Fall 2017 Lab 2UC BerkeleyLab 2: Basic Concepts in Control System Design There is nothing worse than a sharp image of a fuzzy concept. Ansel Adams1 ObjectivesThe goal of this lab is to understand some of the Basic Concepts behind Control theory: equilibrium points,stability, feedback, steady-state response, and Poles and ZerosRecall that thepolesof a transfer function (TF) are those values of the Laplace transform variable,s, forwhich the denominator of the TF is zero, including any roots shared with the numerator, roots of thedenominator which cancel out with the numerator. Similarly, thezerosof a transfer function (TF) arethose values ofsthat cause the TF to become zero, including roots shared with the StabilityThe time response of a linear time invariant (LTI) dynamical systemc(t) =cforced(t) +cnatural(t), wherecforced(t) is the forced response (driven by the input applied to the System ) andcnatural(t) is the naturalresponse (driven by the System s initial states).
Lab 2: Basic Concepts in Control System Design \There is nothing worse than a sharp image of a fuzzy concept." { Ansel Adams 1Objectives The goal of this lab is to understand some of the basic concepts behind control theory: equilibrium points, stability, feedback, steady-state response, and linearization.
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
Related search queries
PROCESS CONTROL, PROCESS CONTROL SYSTEM DESIGN, Plantwide Control System Design, Design, Control, Control system design, System, Portland, Control design, Control system, INCREMENTAL MODEL PREDICTIVE CONTROL SYSTEM, Incremental model predictive control system design and implementation using matlab/simulink, Feedback systems