Title:
PULSE NEURAL NETWORK-BASED VEHICLE WHEEL SPEED SELF-REGULATING METHOD AND SELF-REGULATING SYSTEM
Document Type and Number:
WIPO Patent Application WO/2023/035462
Kind Code:
A1
Abstract:
A pulse neural network-based vehicle wheel speed self-regulating method, comprising: obtaining a PWM value of a left wheel motor of a vehicle; numerically adjusting the PWM value by means of a control state processor; obtaining an offset of a motion angle of the vehicle recorded by an inertial measurement unit; numerically adjusting the offset by means of an angle processor; adjusting a PWM control signal by means of a supervised learning algorithm of a pulse neural network in combination with an angle signal and applying the PWM control signal to the vehicle to adjust the wheel speed of the vehicle; and repeating the described steps to achieve real-time adjustment of the wheel speed of the vehicle. The characteristics of low power consumption and high dynamics of the pulse neural network are utilized, the pulse neural network and IMU are combined to perform straight-travelling control of the vehicle, such that the vehicle can adapt to the wheel speed, thereby solving the problem that the vehicle cannot go straight due to factors such as different motor characteristics and external environment interference. Also disclosed is a vehicle wheel speed self-regulating system.
Inventors:
GAO GANG (CN)
LI XIAOJIAN (CN)
WANG CHENG (CN)
LI XIAOJIAN (CN)
WANG CHENG (CN)
Application Number:
PCT/CN2021/137998
Publication Date:
March 16, 2023
Filing Date:
December 14, 2021
Export Citation:
Assignee:
SHENZHEN INST OF ADV TECH CAS (CN)
International Classes:
B60L15/20; B62D11/04; G05D3/20
Foreign References:
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| CN108427415A | 2018-08-21 | |||
| CN110109456A | 2019-08-09 | |||
| CN109240292A | 2019-01-18 | |||
| CN108594829A | 2018-09-28 | |||
| US20210206430A1 | 2021-07-08 | |||
| US20170120755A1 | 2017-05-04 |
Attorney, Agent or Firm:
BEIJING ZHONG XUN TONG DA INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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