Linear Systems and Control - MMAN3200
Faculty: Faculty of Engineering
School: School of Mechanical and Manufacturing Engineering
Course Outline: http://www.mech.unsw.edu.au/
Campus: Sydney
Career: Undergraduate
Units of Credit: 6
EFTSL: 0.12500 (more info)
Indicative Contact Hours per Week: 4
Enrolment Requirements:
Prerequisite: MATH2019 and (MMAN1300 or CVEN1300) Exclusion: MECH3211, MTRN3212
CSS Contribution Charge: 2 (more info)
Tuition Fee: See Tuition Fee Schedule
Further Information: See Class Timetable
View course information for previous years.
Description
MINE1300 is also equivalent to MMAN1300
Models of physical systems: differential equations for physical systems including mechanical, electrical, hydraulic, thermal and pneumatic systems; linearisation. System analysis techniques: solution by Laplace transform method. Transfer functions and block diagrams. System response: response of first and second order systems to impulse step, ramp and periodic inputs; higher order system response; concept of system stability, applications. Concept of control. Stability criteria; use of Root Locus and Bode for system analysis and modification. Simulation of linear and non-linear systems. The matrix exponential and state space notation. The transfer matrix. Pole and state feedback, controllability and observability. Use of MATLAB as a simulation environment.
Models of physical systems: differential equations for physical systems including mechanical, electrical, hydraulic, thermal and pneumatic systems; linearisation. System analysis techniques: solution by Laplace transform method. Transfer functions and block diagrams. System response: response of first and second order systems to impulse step, ramp and periodic inputs; higher order system response; concept of system stability, applications. Concept of control. Stability criteria; use of Root Locus and Bode for system analysis and modification. Simulation of linear and non-linear systems. The matrix exponential and state space notation. The transfer matrix. Pole and state feedback, controllability and observability. Use of MATLAB as a simulation environment.
Study Levels
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