Research on fuzzy PID control to electronic speed regulator

Xiao-gang Xu; Xue-hui Chen; Sheng-guo Zheng

doi:10.1117/12.784140

7 January 2008 Research on fuzzy PID control to electronic speed regulator

Xiao-gang Xu, Xue-hui Chen, Sheng-guo Zheng

Proceedings Volume 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials; 679407 (2008) https://doi.org/10.1117/12.784140
Event: ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 2007, Gifu, Japan

Abstract

As an important part of diesel engine, the speed regulator plays an important role in stabilizing speed and improving engine's performance. Because there are so many model parameters of diesel-engine considered in traditional PID control and these parameters present non-linear characteristic.The method to adjust engine speed using traditional PID is not considered as a best way. Especially for the diesel-engine generator set. In this paper, the Fuzzy PID control strategy is proposed. Some problems about its utilization in electronic speed regulator are discussed. A mathematical model of electric control system for diesel-engine generator set is established and the way of the PID parameters in the model to affect the function of system is analyzed. And then it is proposed the differential coefficient must be applied in control design for reducing dynamic deviation of system and adjusting time. Based on the control theory, a study combined control with PID calculation together for turning fuzzy PID parameter is implemented. And also a simulation experiment about electronic speed regulator system was conducted using Matlab/Simulink and the Fuzzy-Toolbox. Compared with the traditional PID Algorithm, the simulated results presented obvious improvements in the instantaneous speed governing rate and steady state speed governing rate of diesel-engine generator set when the fuzzy logic control strategy used.

Citation Download Citation

Xiao-gang Xu, Xue-hui Chen, and Sheng-guo Zheng "Research on fuzzy PID control to electronic speed regulator", Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 679407 (7 January 2008); https://doi.org/10.1117/12.784140

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