TY - GEN
T1 - The optimization design of fuzzy controller based on an improved artificial immune algorithm
AU - Yu, Miao
AU - Chen, Jie
AU - Dou, Li Hua
AU - Gan, Ming Gang
PY - 2008
Y1 - 2008
N2 - An improved artificial immune algorithm is proposed. A large and a small neighborhood are constructed to perform global and local search respectively, so that two-level neighborhood searching mechanism is realized to ensure the search capabilities of the algorithm, and its combination with the control system is presented. Aiming at the fuzzy controller difficulties in the field of intelligent control, it is suggested a design method that employs the improved artificial immune algorithm to adjust the scale factors and membership functions of the fuzzy controller respectively. Then, it is designed a fuzzy controller that is composed of two planar fuzzy controllers by using Sugeno fuzzy reasoning method, which successfully controls an inverted pendulum system. The simulation results show mat the improved algorithm for single-stage inverted pendulum has an implementation of effective control, and it makes the designed performance of fuzzy controller greatly improved.
AB - An improved artificial immune algorithm is proposed. A large and a small neighborhood are constructed to perform global and local search respectively, so that two-level neighborhood searching mechanism is realized to ensure the search capabilities of the algorithm, and its combination with the control system is presented. Aiming at the fuzzy controller difficulties in the field of intelligent control, it is suggested a design method that employs the improved artificial immune algorithm to adjust the scale factors and membership functions of the fuzzy controller respectively. Then, it is designed a fuzzy controller that is composed of two planar fuzzy controllers by using Sugeno fuzzy reasoning method, which successfully controls an inverted pendulum system. The simulation results show mat the improved algorithm for single-stage inverted pendulum has an implementation of effective control, and it makes the designed performance of fuzzy controller greatly improved.
KW - Artificial immune system
KW - Fuzzy control
KW - Optimization design
UR - https://www.scopus.com/pages/publications/52349086033
U2 - 10.1109/CCDC.2008.4597957
DO - 10.1109/CCDC.2008.4597957
M3 - Conference contribution
AN - SCOPUS:52349086033
SN - 9781424417346
T3 - Chinese Control and Decision Conference, 2008, CCDC 2008
SP - 3383
EP - 3387
BT - Chinese Control and Decision Conference, 2008, CCDC 2008
T2 - Chinese Control and Decision Conference 2008, CCDC 2008
Y2 - 2 July 2008 through 4 July 2008
ER -