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Controls ECEn 191 New Student Seminar. WE ALREADY KNOW CONTROL. EARLY ELECTRONIC EXAMPLE. CONTROL EXAMPLE 1. CONTROL EXAMPLE 2. CONTROL EXAMPLE 3. A CONTROLLED SYSTEM. System. Objectives. Control Algorithm. Actuators. Sensors. CRUISE CONTROL SYSTEM. BANG-BANG CONTROL.
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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