An Integrated Vehicle Stability Control Method Based on Variable Weight Model Prediction Algorithm
A technology of model prediction and integrated control, applied in control devices, vehicle components, driver input parameters, etc., can solve the problem of not fully guaranteeing the yaw stability and roll stability of the vehicle, so as to meet the stability performance requirements and ensure Stable performance and robust effect
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[0025] Below in conjunction with the accompanying drawings, the technical solution proposed by the invention is further elaborated and illustrated.
[0026] The present invention provides a vehicle stability controller design method based on variable weight model prediction algorithm, such as figure 1 As shown, the method includes the following steps:
[0027] 1. Real-time collection and processing of current vehicle status information:
[0028] First, the vehicle status information fed back by the on-board sensors is collected in real time, including the steering wheel angle signal collected by the steering sensor, the yaw rate and roll rate signals at the center of mass of the vehicle collected by the yaw rate sensor (gyroscope), and the signal measured by the acceleration sensor. The longitudinal and lateral acceleration signals are detected by the pressure sensor to obtain the actual pressure signal of the brake pipe at the wheel. These signals are filtered or estimated ...
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