Title :
Fuzzy logic PID controller based on FPGA for process control
Author :
Tipsuwanpom, Runghimmawan. ; Runghimmawan, T. ; Intajag, S. ; Krongratana, V.
Author_Institution :
Fac. of Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand
Abstract :
In this paper, a fuzzy proportional integral derivative (PID) controller, which is fabricated on a field programmable gate array (FPGA). is proposed to control an industrial process. The fuzzy logic is provided to tune the PID parameters by using a gain scheduling method. The tuning scheme is represented by a fuzzy system, which consists of fuzzification rule inference and defuzzification. The fabricated FPGA chip, XC2S50-5tq-144, is embedded with the fuzzy system, which the chip is called fuzzy-PID controller. The fuzzy-PID controller is contained several circuits, such as multiplier, adder, subtraction and some of the other logic gate. The controller system uses two converter cards: TDA8763AM/3 (10 bits, high speed) to convert from analog to digital signal. DAC08 (8 bits) to convert from digital to analog. The maximum speed of the controller about 2,1 μsec per action at 40.550 MHz. is calculated from timing summary. The fuzzy-PID controller based on FPGA is verified by using to control model of level and temperature process. From the experimental results of the level and temperature control, the fuzzy-PID controller has achieved and shown the better performance than standard PID controller E50AK. which is automatic tuneable parameter system.
Keywords :
field programmable gate arrays; fuzzy control; level control; process control; scheduling; temperature control; three-term control; DAC08; FPGA; TDA8763AM/3; XC2S50-5tq-144; defuzzification; field programmable gate array; fuzzification rule inference; fuzzy logic PID controller; fuzzy proportional integral derivative controller; gain scheduling method; industrial process; level control; process control; temperature control; Automatic control; Control systems; Field programmable gate arrays; Fuzzy logic; PD control; Pi control; Process control; Proportional control; Temperature control; Three-term control; FPGA; Fuzzy logic; Fuzzy-PID controller; PID; Process control;
Conference_Titel :
Industrial Electronics, 2004 IEEE International Symposium on
Print_ISBN :
0-7803-8304-4
DOI :
10.1109/ISIE.2004.1572035