A self-balancing car with front and rear two wheels based on gray neural network prediction algorithm
A technology of gray neural network and prediction algorithm, applied in the field of front and rear two-wheel self-balancing trolleys, can solve the problems of easy rollover, sideslip, high traffic accident rate, poor safety performance of motorcycles and electric bicycles, etc. Small, flexible steering, low driving power
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[0027] The present invention will be described in detail below in terms of specific embodiments in conjunction with the accompanying drawings. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It is to be noted that other embodiments may be utilized or structural and functional modifications may be made to the embodiments set forth herein without departing from the scope and spirit of the present invention.
[0028] The two-wheel self-balancing trolley of the invention has important application and theoretical research significance. Compared with the previous two-wheeled balance trolley, the present invention adopts the front and rear two wheels, adopts the gray neural network prediction algorithm, accurately predicts the state of the smart car at the next moment through the gray neural network prediction algorithm, and adjusts the smart car through feedback control in time...
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