Study on the Speed Control of a Marine Diesel Based on Fuzzy RBF-PID Strategy

Qing Fu Kong; Fan Ming Zeng; Jie Chang Wu; Jia Ming Wu

doi:10.4028/www.scientific.net/AMM.241-244.1255

Paper Titles

Sensorless Control of PMSM with Compensated Sliding Mode Observer
p.1226

Thermal Power Plant Electrical Network Flow Calculations Based on AnySimu Platform
p.1234

Nonlinear Predictive Decoupling Control of Rotorcraft UAV Using Serial Decoupling Method
p.1240

Application of Fuzzy PID Control in Sluice Control
p.1248

Study on the Speed Control of a Marine Diesel Based on Fuzzy RBF-PID Strategy
p.1255

Application of Kalman Filter in the Attitude Four-Axis Aircraft Control System
p.1261

Based on the State Feedback Optimal Controler Design
p.1265

Numeric Simulation of Gas-Dynamic Processes in the Swirl Combustion Chamber in STAR-CCM+
p.1271

Simulation of the Flow Parameters of the Multi-Microchannel Aerostatic Restrictor
p.1278

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 241-244Study on the Speed Control of a Marine Diesel...

Study on the Speed Control of a Marine Diesel Based on Fuzzy RBF-PID Strategy

Abstract:

It is very important to enhance the speed control effect of marine diesels. However, marine diesels are typical complex objects; sometimes it is difficult to achieve the control goals of the diesel speed with traditional PID strategy due to its fixed control parameters under all working conditions. In order to improve the speed control effect of marine diesels, the intelligent fuzzy RBF-PID strategy, which is integrated by fuzzy, Radical Basis Function (RBF) network and PID strategies, is presented in the paper. Development of the fuzzy RBF-PID controller is discussed in detail. Finally, the validity of the fuzzy RBF-PID strategy for the speed control of marine diesels is verified by simulation results.

You might also be interested in these eBooks

Industrial Instrumentation and Control Systems

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 241-244)

Pages:

1255-1260

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.241-244.1255

Citation:

Cite this paper

Online since:

December 2012

Authors:

Qing Fu Kong*, Fan Ming Zeng, Jie Chang Wu, Jia Ming Wu

Keywords:

Fuzzy, PID Strategy, Radical Basis Function (RBF) Network, Speed Control

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] A Shapiro, The Merging of Neural Networks, Fuzzy Logic and Genetic Algorithms, J. Mathematics and Economics, 2002, pp.115-131.

DOI: 10.1016/s0167-6687(02)00124-5

Google Scholar

[2] Mizumoto M, Realization of PID Controls by Fuzzy Control Methods, J. Fuzzy Sets and Systems, 2005, pp.171-182.

DOI: 10.1016/0165-0114(94)00215-s

Google Scholar

[3] C James, Chen Guanrong, Fuzzy PID Controller: Design, Performance Evaluation and Stability Analysis, J. Information Sciences, 2000, pp.249-270.

DOI: 10.1016/s0020-0255(99)00127-9

Google Scholar

[4] Ketata R, D Geest, A Fuzzy Controller: Design, Evaluation, Parallel and Hierarchical Combination with a PID Controller, J. Fuzzy Sets and Systems, 2008, pp.113-129.

DOI: 10.1016/0165-0114(94)00189-e

Google Scholar

[5] Xu Jianxin, Hang Changchi, Liu Chen, Parallel Structure and Tuning of a Fuzzy PID Controller, J. Automatic, 2000, pp.673-684.

DOI: 10.1016/s0005-1098(99)00192-2

Google Scholar