F-RBFNN Used for Tuning Parameters of Adaptive PID Control for the Drive Motor of Car Dumper

Fa Yi Cui; Lei Lei Ma

doi:10.4028/www.scientific.net/AMR.915-916.430

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 915-916F-RBFNN Used for Tuning Parameters of Adaptive PID...

F-RBFNN Used for Tuning Parameters of Adaptive PID Control for the Drive Motor of Car Dumper

Abstract:

In the current environment of energy saving, dumper run energy efficiently that has great practical significance. The drive motor speed determines the roll-over machine efficiency, with the result that motor speed optimal control using adaptive PID control system. Contrary to the volume of PID control, using neural network online-tuning; On hand of network selection, RBFNN and F-RBFNN are selected. Compared with the classical PID control, the PID control based on F-RBFNN and RBFNN achieve the amount of online tuning the parameters of PID control. Especially, compared with RBFNN, F-RBFNN which combines a fuzzy logic technology and RBFNN is more suitable for real-time nonlinear control of the roll drive motor speed. Because parameters tuning more rapidly and static and dynamic performance and anti-interference ability more powerfully.

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Periodical:

Advanced Materials Research (Volumes 915-916)

Pages:

430-435

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.915-916.430

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Online since:

April 2014

Authors:

Fa Yi Cui, Lei Lei Ma

Keywords:

Adaptive PID Control System, Car Dumper, drive motor, Fuzzy Radial Basis Function Neural Network, Parameters Tuning Online, Radial Basis Function Neural Network, Rotary Velocity

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