Automobile locking-proof controller with agglutination controlling self-learning function

Abstract

An anti-locking controller of the automobile with the functions of adhesion control and self study includes a speed signal shaping module, a microprocessor CPU, a direct current motor, a valve electrical source driving module, a valve driving module, a diagnosis module and a bus level conversion module. The automobile speed signal is transformed a sine wave into digital pulse signal and input the microprocessor CPU by the speed signal shaping module, and the microprocessor CPU figures out relevant physical quantity according to the speed signal to confirm whether the vehicle slips or not, and if certain wheel is judged as being slip, the microprocessor CPU can promptly send a motor driving signal and a valve electrical source signal to the direct current motor and the valve electrical source driving module to start the motor and the valve electrical source, then relevant valve control signal is sent to execute the adhesion control towards the slip wheel; the controller uses an adhesion tracing parameter SPf to control the adhesion of the braking vehicle and uses a balance parameter SPb to control the stability of the braking vehicle and uses a anti-impact parameter SPc to control the comfort of the vehicle.

Description

technical field

[0001] The invention belongs to an automobile electronic control device, in particular to an automobile anti-lock controller with a sticking control self-learning function. Background technique

[0002] Automotive ABS has entered a period of rapid development since the 1980s. In the process of development, ABS is developing in the direction of integration, portability, continuous improvement of control and diagnosis functions, batch production and low cost. With the continuous development of microelectronics technology and modern processing technology, the performance of ABS will be further improved. In terms of control methods, the current ABS control methods mainly include logic threshold control, PID control, sliding dynamic variable structure control, fuzzy control, neural network adaptive control, fuzzy neural network control and robust control. These control methods can basically meet the anti-lock braking control function, but they are not good in ve...

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