Open AccessDesign of PID Intelligent Controller Combining Immune Genetic Algorithm
Author(s) -
Shuo Ye,
Lingzhen Sun
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1574/1/012010
Subject(s) - pid controller , overshoot (microwave communication) , control theory (sociology) , genetic algorithm , computer science , controller (irrigation) , control engineering , field (mathematics) , algorithm , control (management) , engineering , mathematics , temperature control , artificial intelligence , machine learning , telecommunications , agronomy , pure mathematics , biology
At present, there are many studies on "computer immunology" in the world, and there are many applications of immune genetic algorithm in engineering.The article discusses the immune genetic algorithm in the design of PID intelligent controller.Most objects in the practical industrial process fall in the distributed parameter system (DPS), where the proportional-integral-derivative (PID) control method is used to control the field. In this paper, the PID controller optimization method based on the immune genetic algorithm (IGA) (referred to as the PODM method) is applied to a class of distributed parameter objects to design the optimal controller, which is compared with several controllers based on the conventional tuning formulas. The simulation results suggest that the PID controller designed based on the PODM method can obtain relatively superior control effects in overshoot, tuning time, time integrated time absolute error (ITAE), and other indexes with relatively less control energy. The application of the PODM method to DPS can improve the control level of the PID controller in the industry at present.