Front and rear two-wheeled self-balancing cart based on grey neural network prediction algorithm

Abstract

The invention provides a front and rear two-wheeled self-balancing cart based on a grey neural network prediction algorithm. The front and rear two-wheeled self-balancing cart comprises a cart body, an attitude sensor, a rear wheel rotating speed sensor, a front wheel deflection sensor, a digital signal processor (DSP) controller and a CCD path identification module. The grey neural network prediction algorithm is used to predict a cart attitude, cart body balance and corresponding control over advancing and steering are achieved after a comparison with current road conditions and standard attitudes, and finally steady running of the cat body is maintained. The cart can receive priority control instructions sent by a mobile phone or a controller through a bluetooth module, so as to control motions of the cart. A grey neural network prediction algorithm model is arranged in the DSP controller, cart attitude information, acceleration information, rear wheel rotating speed information and front wheel deflecting direction information serve as input quantities of the grey neural network prediction algorithm model to obtain prediction attitude information of the cart, and automatic control information of the cart is obtained according to predicted attitude information of the cart and road conditions in front of the cart.

Description

technical field [0001] The invention relates to a front and rear two-wheel self-balancing trolley based on a gray neural network prediction algorithm. Background technique [0002] As the number of private cars continues to increase, the urban traffic situation continues to deteriorate and parking difficulties become increasingly prominent, the disadvantages of automobiles in urban traffic are becoming more and more obvious, while road construction and public transportation cannot keep up with social needs, and urban roads are tense. In the case of a serious shortage of oil in our country, motorcycles and electric bicycles have obvious advantages over other modes of transportation. They occupy less roads, have a high pass rate, are convenient to park, and have low cost of use and pollution. few. However, various local governments have promulgated relevant local laws and regulations on "banning motorcycles" or "banning electricity". Therefore, if there is a kind of balance ...

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Problems solved by technology

However, local governments have issued related local regulations on "banning motorcycles" or "banning electricity".

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