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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