An Improved PSO Algorithm of Optimizing Selection for Multi-Objective Controller Parameter

Abstract:

For the same controlled process, different controller is radically different in control effect. Aimed at the puzzle of being difficult to select the controller for the incompatibility among control performance index, the paper proposed a sort of improved PSO algorithm. Based on the construction of objective function in multi-performance index parameter, the algorithm could quickly search and converge to control parameter in global optimal extremum corresponded to each controller and single out the controller through performance comparison excellently. In the paper, it took the controller selection of wastewater treatment system as an example, designed the algorithm of multi-modal HSIC controller of DO parameter, made the experiment of system simulation, and the simulation demonstrated that the HSIC controller could be stronger in robustness and better in dynamical and steady control quality compared with improved PID controller. The research result shows that it is reasonable and applicable to optimize selection of controller.

• Periodical: Applied Mechanics and Materials (Volumes 401-403)
• Pages: 1805-1808
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.401-403.1805
• Online since: September 2013
• Authors: Yan Juan Ren
• Keywords: Control Parameter, Improved PSO Algorithm, Optimizing Selection of Controller

References

[1] Van den Bergh, Engelbrecht A: Using neighborhood with the guaranteed convergence PSO. 2003 IEEE swarm intelligence symposium, USA, 235-242 (2003).

DOI: 10.1109/sis.2003.1202274

[2] LEI Kai-fa. Particle Swarm Optimization and Its Application Research. Chongqing: Southwest University, 23-72 (2006).

[3] WANG Hao. Comparative Study on Four Sorts of Intelligent Algorithm. Fire Control and Command Control, No. 33: 71-75 (2008).

[4] Wang Yuhong, Li Wei. A simulated annealing algorithm for training empirical potential functions of protein folding. CHEN. RES. CHINESE U. 21(1): 73-77 (2005).

[5] DUAN Hai-bin, WANG Dao-bo, YU Xiu-fen. Research on Some Novel Bionic Optimization Algorithms. Computer Simulation, 24(3): 169-172 (2007).