TY - GEN
T1 - Recursive least square and genetic algorithm based tool for PID controllers tuning
AU - Galotto, Luigi
AU - Pinto, João Onofre P.
AU - Bottura Filho, João Aristides
AU - Lambert-Torres, Germano
PY - 2007
Y1 - 2007
N2 - The objective of this paper is to present a recursive least square and genetic algorithm based tool for PID controller tuning. This tool was developed to be used in PID controllers embedded in PLC - Programmable Logic Controllers. In such software, first the plant is identified and then, based in the plant model, the PID controller parameters are found. The recursive least square is used to do the plant identification, while the genetic algorithm is used to the PID tuning. Initially, it establishes communication with the PLC, and after a disturbance, it acquires the data. In the sequence, the software searches for the new controller parameters and simulates it in order to evaluate its performance. Experimental and simulation results are provided, showing the effectiveness of the tool.
AB - The objective of this paper is to present a recursive least square and genetic algorithm based tool for PID controller tuning. This tool was developed to be used in PID controllers embedded in PLC - Programmable Logic Controllers. In such software, first the plant is identified and then, based in the plant model, the PID controller parameters are found. The recursive least square is used to do the plant identification, while the genetic algorithm is used to the PID tuning. Initially, it establishes communication with the PLC, and after a disturbance, it acquires the data. In the sequence, the software searches for the new controller parameters and simulates it in order to evaluate its performance. Experimental and simulation results are provided, showing the effectiveness of the tool.
KW - Evolutionary computation
KW - Intelligent control
KW - Optimization
KW - PID controller
KW - PID tuning
UR - http://www.scopus.com/inward/record.url?scp=50249107959&partnerID=8YFLogxK
U2 - 10.1109/ISAP.2007.4441623
DO - 10.1109/ISAP.2007.4441623
M3 - Conference contribution
AN - SCOPUS:50249107959
SN - 9860130868
SN - 9789860130867
T3 - 2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP
BT - 2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP
ER -