PID Controllers

GPTKB entity

Statements (51)
Predicate Object
gptkbp:instanceOf Control System Component
gptkbp:advantage Simple Implementation
May Not Handle Nonlinearities Well
No Need for System Model
Requires Tuning
Sensitive to Noise (Derivative Term)
Widely Used
gptkbp:alternativeTo gptkb:Adaptive_Control
Model Predictive Control
Fuzzy Logic Control
gptkbp:category Electronics
Engineering
Mechatronics
Automatic Control
gptkbp:component Derivative Term
Integral Term
Proportional Term
gptkbp:effect Improves System Stability
Improves Transient Response
Reduces Steady-State Error
gptkbp:form u(t) = Kp*e(t) + Ki*∫e(t)dt + Kd*de(t)/dt
gptkbp:foundIn gptkb:PLC_Systems
Embedded Systems
DCS (Distributed Control Systems)
gptkbp:fullName Proportional-Integral-Derivative Controllers
https://www.w3.org/2000/01/rdf-schema#label PID Controllers
gptkbp:input Setpoint
Process Variable
gptkbp:introducedIn 1940s
gptkbp:inventedBy gptkb:Elmer_Sperry
gptkbp:output Control Signal
gptkbp:purpose Reduce Error
Maintain Desired Output
Stabilize Systems
gptkbp:relatedTo Feedback Control
On-Off Controller
PD Controller
PI Controller
gptkbp:standardizedBy gptkb:IEC_61131-3
ISA-5.1
gptkbp:tuning Cohen-Coon Method
Manual Tuning
Ziegler-Nichols Method
gptkbp:usedIn gptkb:robot
gptkb:HVAC_Systems
gptkb:Automotive_Systems
Aerospace Engineering
Industrial Automation
Process Control
gptkbp:bfsParent gptkb:Fuzzy_Control_Systems
gptkbp:bfsLayer 6