An Analytical Method For Optimum Frequency Domain Design In Control Applications | Zendy

E.S. McVey | Zendy; G.L. Dempsey | Zendy

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An Analytical Method For Optimum Frequency Domain Design In Control Applications

Author(s) -

E.S. McVey,

G.L. Dempsey

Publication year - 2020

Language(s) - English

Resource type - Conference proceedings

DOI - 10.18260/1-2--8904

Subject(s) - computer science , frequency domain , set (abstract data type) , stability (learning theory) , design methods , control engineering , domain (mathematical analysis) , control system , control (management) , controller (irrigation) , session (web analytics) , control theory (sociology) , engineering , mathematics , artificial intelligence , programming language , mechanical engineering , mathematical analysis , agronomy , electrical engineering , machine learning , world wide web , computer vision , biology

Our paper will revisit a method that was first introduced at Yale University in the late 1950s by Bower and Schultheiss in their linear control textbook, Introduction to the Design of Servomechanisms. Control system design normally requires several design iterations in a simulation environment to meet a set of system specifications. The analytical method discussed here comprises the first design iteration but normally results in a design that is close to optimum, i.e., the resulting system will have maximum stability margin and bandwidth. The method eliminates trial and error procedures, can accommodate time and frequency domain specifications, and can be applied to continuous-time or sampled-data systems.

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