Fuzzy Comprehensive Evaluation for Two Kinds of Suspension Controllers

Abstract:

In order to improve the nonlinear and uncertain characteristics of the suspension system, using the differential geometry, the suspension system is transformed into two linear subsystems. The state feedback controller and the proportional integral derivative (PID) controller based on the genetic algorithm are designed, and the fuzzy comprehensive evaluation method based on the analytic hierarchy process is modified, which can evaluate the suspension performance of the controllers. The evaluation results show that the proportional integral derivative controller with the genetic algorithm is better than the state feedback controller.

• Periodical: Applied Mechanics and Materials (Volume 865)
• Pages: 561-564
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.865.561
• Online since: June 2017
• Authors: Rong Rong Song*
• Keywords: Differential Geometry, Fuzzy Comprehensive Evaluation, Genetic Algorithm, Maglev System, Proportional Integral Derivative Controller, State Feedback

References

[1] U. Hasirci, A. Balikci, Z. Zabar, L. Birenbaum, A novel magnetic-levitation system: design, implementation, and nonlinear control. Plasm. Sci. 39(1) (2011) 492-497.

DOI: 10.1109/tps.2010.2053389

[2] D. Roy, D. Saruhashi, S. Yamada, M. Iwahara, Fabrication and development of a novel flux-concentration type linear induction motor. Magn. 36(1) (2000) 3555-3557.

DOI: 10.1109/20.908896

[3] C. L. Kuo, T. H. S. Li, N. R. Gue. Design of a novel fuzzy sliding-mode control for magnetic ball levitation system. J. Intell. Robot. Syst. 42 (2005) 295-316.

DOI: 10.1007/s10846-004-3026-3

[4] H. Kurobe, T. Sekine, H. Asai, Alternating direction explicit-latency insertion method (ADE-LIM) for the fast transient simulation of transmission lines. Pack. Manuf. Tech. 2 (2012) 783-792.

DOI: 10.1109/tcpmt.2012.2186137

[5] T. Sekine, H. Asai, Block-latency insertion method (Block-LIM) for fast transient simulation of tightly coupled transmission lines. Electromagn. Compatib. 53 (2011) 193-201.

DOI: 10.1109/temc.2010.2047108

[6] B. L. J. Gysen, J. J. H. Paulides, J. L. G. Janssen, E. A. Lomonova, Active Electromagnetic.

[7] P. Thomas. Manual for model 730: Magnetic Levitation System. USA: ECP, Educational Control Products. (1999).

[8] S. J. Joo, J. H. Seo, Design and analysis of the nonlinear feedback linearizing-control for an electromagnetic suspension system. Contr. Syst. Tech. 5(1) (1996) 135-144.

DOI: 10.1109/87.553672

[9] A. Rubaai, M. J. Castro-Sitiriche, DSP-based laboratory implementation of hybrid-fuzzy-PID controller using genetic optimization for high-performance motor drives. Ind. Appl. 44(6) (2008) 1977-(1986).

DOI: 10.1109/tia.2008.2006347

[10] P. Dehghanian, M. Fotuhi-Firuzabad, S. Bagheri-Shouraki, A. A. Razi Kazemi, Critical component identification in reliability centered asset management of power distribution systems via fuzzy AHP. Syst. 6(4) (2012) 593-602.

DOI: 10.1109/jsyst.2011.2177134