Four Hardware Experiments For Advanced Dynamics And Control
Author(s) -
Bradley Burchett
Publication year - 2020
Publication title -
2006 annual conference and exposition proceedings
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--592
Subject(s) - inverted pendulum , pendulum , kinematics , computer science , control theory (sociology) , system identification , dynamics (music) , control system , mode (computer interface) , control engineering , control (management) , simulation , engineering , mechanical engineering , artificial intelligence , nonlinear system , physics , electrical engineering , classical mechanics , quantum mechanics , database , acoustics , measure (data warehouse) , operating system
The faculty of the mechanical and electrical engineering departments at Rose-Hulman Institute of Technology have developed many experiments for system modeling and control. In this work, we present the development of additional experiments intended to broaden the repertoire of courses in which the controls lab hardware is used. First, we capitalize on previous modeling experiments using both step response and frequency response to precisely identify the parameters of linear and radial hanging crane models. Second, students use the stable model obtained through frequency response to form the open-loop unstable model of the plant in inverted pendulum mode. They then apply Ackermann's formula to obtain the state feedback gains to place the closed loop poles at locations suggested by the professor. Third, we present a state feedback control experiment based on a two degree of freedom mass-spring system with rigid body mode. Control of this device is analogous to control through a flexible manipulator, except that the system is simplified to one-dimensional motion. Fourth, we show a proposed modeling and parameter identification laboratory for a graduate level dynamics course. Students are required to develop the system non-linear kinematic equations, then apply LaGrange's formulae to obtain two degree of freedom kinetic equations. They are then expected to obtain experimental response data, and provide precise estimates of system physical parameters through matching theoretical response with experimental.
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