Paper
13 January 2012 Research on PID control system based on genetic algorithm
Dingqun Zhang, Xinfeng Yang
Author Affiliations +
Abstract
Genetic algorithms, there are many difficult issues, such as premature convergence, choice of control parameters. This combination of all improvements, the optimal preservation strategy, adaptive set the crossover probability and mutation probability, the idea of fitness scaling into the simple genetic algorithm, the algorithm is improved and used Matlab program to achieve the improved algorithm, prove the correctness and practicability of this method.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dingqun Zhang and Xinfeng Yang "Research on PID control system based on genetic algorithm", Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 83501R (13 January 2012); https://doi.org/10.1117/12.920541
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Genetic algorithms

Optimization (mathematics)

Genetics

Control systems

Servomechanisms

Evolutionary algorithms

Promethium

Back to Top