ENGR 312 Control Systems
Students will model dynamic mechanical systems in planar motion and use computer simulations to study them. Students build on the modeling and analysis techniques from System Dynamics to analyze and design controllers for linear systems. Practical examples from different engineering fields will be discussed. Students will analyze and design control systems in both continuous and discrete time, using both classical and modern techniques. Nonlinear dynamic models are introduced.
Continuous and discrete time control; classical control – stability and design of systems using root locus and; modern control – state space and pole placement methods; models of physical systems (in the frequency and time domains), state-variable models, system responses (time response), control system characteristics, stability analysis (including Routh-Hurwitz criterion), steady-state errors. Root-Locus analysis and design, Nyquist/Bode methods, frequency-response analysis, frequency-response design, modern control design, discrete-time systems, also design via state space., sampled-data systems, analysis and design of digital control systems, discrete-time pole-assignment and state estimation, nonlinear system analysis, electro-mechanical actuators, and sensors.
Simulation, measurement and design of dynamic systems using LabView and/or MATLAB/Simulink, analytical instrumentation, industrial process techniques and instrumentation, process control methods, 50 calibration, detection sensors, programmable controllers.
Required of CE, EE, and ME students