Name
Title | ||
|---|---|---|
Design of Fractional PID Control via Hybrid of Electromagnetism-Like and Genetic Algorithms |
Abstract | ||
|---|---|---|
In this paper, we propose a design method of fractional order PID controller via hybrid of electromagnetism-like (EM) algorithm and genetic algorithm (GA). The hybrid algorithm improves the performance of EM algorithm by using GA, called IEMGA. The main modification is that the randomly neghiborhood local search is changed by genetic algorithm for designing fractional order PID (FOPID) controllers. IEMGA combines the advantages of multiple search, global optimization, and faster convergence.It does not need any gradient information and it is capable of decreasing the computational complexity. Simulation results show that IEMGA has the ability of golbal optimization and faster convergence. In addition, it improve the computation complecity of EM. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISDA.2008.269 | ISDA (2) |
Keywords | Field | DocType |
genetic algorithms,fractional order pid controller,hybrid algorithm,neghiborhood local search,faster convergence,fractional order,genetic algorithm,golbal optimization,multiple search,global optimization,fractional pid control,em algorithm,force,optimization,pid control,design method,gallium,cost function,computational complexity,local search,algorithm design and analysis,pid controller | Convergence (routing),Hybrid algorithm,Algorithm design,Global optimization,PID controller,Computer science,Control theory,Local search (optimization),Genetic algorithm,Computational complexity theory | Conference |
Citations | PageRank | References |
1 | 0.41 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fu-Kai Chang | 1 | 33 | 2.17 |
| Ching-Hung Lee | 2 | 597 | 42.31 |