Instrumentation: Sensing and Controls

Catalog description

Electronic circuits and algorithms for sensing and control systems. Sampling methods, noise, stochastic models, basic circuit architectures for various sensing systems. Methods for control of motors, pumps, valves, heaters, lasers, and other common actuators or effectors. Linear and non-linear control systems such as PID loops, predictive models, fuzzy logic, and inverse kinematics. Three hours lecture. Three hours activity. Prerequisite(s): EE 280 or PHYS 280 ; and EE 303 and EE 330 . Corequisite(s): EE 430 .