Carlos A. Smith
Engineering at Nakora Dr, Tampa, FL
License number
Louisiana PE.0013933
Issued Date
Sep 18, 1973
Category
Civil Engineer
Type
Chemical Engineer
Address
Address
3306 Nakora Dr, Tampa, FL 33618
Organization information
See more information about Carlos A. Smith at bizstanding.comCarlos Smith MD
2727 W Ml King Blvd, Tampa, FL 33614
Industry:
Emergency Medicine
Phone:
(813) 874-5707 (Phone)
Carlos Alberto Smith
Professional information
Dr. Carlos A Smith, Tampa FL - MD (Doctor of Medicine)
Specialties:
Emergency Medicine
Address:
Emergency Medical Assocs Of FL
3001 W Dr Martin Luther King Jr Blvd, Tampa 33607
(813) 874-5707 (Phone)
3001 W Dr Martin Luther King Jr Blvd, Tampa 33607
(813) 874-5707 (Phone)
Certifications:
Emergency Medicine, 2007
Awards:
Healthgrades Honor Roll
Languages:
English
Hospitals:
Emergency Medical Assocs Of FL
3001 W Dr Martin Luther King Jr Blvd, Tampa 33607
Saint Joseph's Hospital
3001 West Dr Martin Luther King Jr Blvd, Tampa 33607
3001 W Dr Martin Luther King Jr Blvd, Tampa 33607
Saint Joseph's Hospital
3001 West Dr Martin Luther King Jr Blvd, Tampa 33607
Carlos Smith
Specialties:
Engineering
Work:
University of South Florida
System And Method To Avoid Oscillatory Behavior In Proportional-Integral-Derivative (Pid) Controllers By Using Fuzzy Inference And Modified/Active Damping
US Patent:
7809668, Oct 5, 2010
Filed:
Nov 21, 2007
Appl. No.:
11/943720
Inventors:
Carlos A. Smith - Tampa FL, US
Marco E. Sanjuan - Barranquilla, CO
Marco E. Sanjuan - Barranquilla, CO
Assignee:
Universidad del Norte - Barranquilla
University of South Florida - Tampa FL
University of South Florida - Tampa FL
International Classification:
G06F 17/00
US Classification:
706 47, 706 1, 706 8, 700 42, 700 50
Abstract:
An instability avoidance module that can be implemented in SISO PID control loops to automatically adjust the controller's tuning parameters when undesired oscillatory behavior is monitored. This module is a Fuzzy-based Supervisor composed of a dynamic parameter identification module that operates on-line, and a Fuzzy Inference System (FIS) with fuzzy rules to modify PID tuning. Tests in nonlinear process models were performed, demonstrating that this Fuzzy Supervisor—Type 1 (non-intrusive) provides the PID controller the ability to adapt its tuning to eliminate the observed oscillatory behavior.