Based on the elitism strategy and the new definitions of antibody similarity, expected reproduction probability, and selection probability, an improved artificial immune algorithm with the elitism strategy (AIAE) was presented. AIAE can not only find the globally optimal solution by elitism strategy, but also regulate the similarity and expected reproduction probability dynamically, to balance the diversity of population and the algorithm convergence speed in the evolutionary process of antibody population. Based on AIAE, a novel PID controller (AIAE-PID) was designed for speed control on induction motor with compensation of stator. Simulation experiments demonstrate that AIAE-PID is able to control AC motor effectively. Compared with other two PID controller designed by the standard genetic algorithm and the canonical simulated annealing algorithm respectively, the AIAE-PID controller exhibits better or equivalent control performance.
Design and application of PID controller based improved artificial immune algorithm
2008-12-01
538420 byte
Conference paper
Electronic Resource
English
Application of Artificial Immune Algorithm to Function Optimization
British Library Online Contents | 2003
|An Optimal Fuzzy Neural Network Controller Based on Artificial Immune Principle
British Library Online Contents | 2004
|Load Frequency Controller Design via Artificial Cuckoo Search Algorithm
Online Contents | 2016
|Artificial Immune C-Means Clustering Algorithm
British Library Online Contents | 2005
|