Title :
Research and application of fuzzy FO-PID predictive function control algorithm
Author :
Guo Wei ; Deng Ling ; Zhou Li
Author_Institution :
Dept. of Electr. Eng., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
Abstract :
In order to overcome the defect that FOPIDPFC algorithm parameters cannot realize self-organizing adjusting online and to improve the generator operating stability to acquire higher precision, fuzzy control algorithm combined with FOPIDPFC algorithm is adopted to implement PIDPFC control parameters online self-organizing adjusting by using fuzzy logical control and to consummate common FOPIDPFC controller. This fuzzy PIDPFC control algorithm was applied to synchronous generator excitation system. Results through MATLAB simulation confirm that, compared with FOPIDPFC and PIDPFC control, the fuzzy FOPIDPFC controller shows better controlling ability. System under the control of the FOPIDPFC shows better dynamic and static performance. Testing in the power system dynamic simulation laboratory gets the same results as the simulation.
Keywords :
fuzzy control; machine control; predictive control; self-adjusting systems; synchronous generators; three-term control; FOPIDPFC algorithm; MATLAB simulation; dynamic performance; fuzzy FO-PID predictive function control algorithm; fuzzy PIDPFC control algorithm; fuzzy logical control; online self-organizing adjusting; power system dynamic simulation laboratory; static performance; synchronous generator excitation system; Control systems; Educational institutions; Fuzzy control; Niobium; Power system dynamics; Power system stability; Prediction algorithms; excitation control; fractional order PID; fuzzy control; predictive functional control;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an