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This seminar covers the fundamentals of control systems, focusing on early electronic examples and specific control strategies such as Bang-Bang and PID control. We will explore key components like actuators, sensors, and the algorithms that govern system behavior. The session will highlight applications in automation, self-driving cars, and robotic systems. Attendees will learn about different control classes offered at BYU, including Signals and Systems and Control System Design, and gain insights into career opportunities in the field.
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A CONTROLLED SYSTEM System Objectives Control Algorithm Actuators Sensors
PID CONTROL P – ProportionalI – IntegralD – Derivative
PROPORTIONALITY CONTROL speed desired speed measured speed acceleration = kp(desired speed – measured speed) proportionality constant
INTEGRATION CONTROL speed desired speed measured speed acceleration = kp(desired speed – measured speed) + ki [ (desired speed – measured speed) dt] integration constant
DERIVATIVE CONTROL speed desired speed measured speed acceleration = kp(desired speed – measured speed) + ki [ (desired speed – measured speed) dt] + kd [ d/dt (desired speed – measured speed) ] derivative constant
PATH PLANNING stop start
A POSSIBLE PATH SOLUTION stop start
AUTOMATION - SELF DRIVING CAR V – Put up a slide with a picture of a self-driving car – perhaps from DARPA Grand Challenge
WHAT’S NEXT Coordinated Control Very Difficult Environments
CONTROL CLASSES • ECEn 380 – Signals and Systems • ECEn 483 – Design of Control Systems • ECEn 490 – Senior Project (Indoor Flying Robot)
LAB EXERCISE www.et.byu.edu/groups/newstudent/schedule.html