Automobile antilock braking system control based on a least squares support vector machine
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Abstract:
Using the referenced slip rate and angle acceleration of the wheel as input vectors and the braking pressure as an output vector, an automobile antilock braking system (ABS) controller based on a least squares support vector machine (LSSVM) was designed. Training the LSSVM controller using the supporting vector, the parameter of the controller was calculated. An antilock braking system was designed that includes an input layer, a control layer, and an output layer. Using wheel speed as an input, the braking pressure of each wheel was calculated. The pulse width modulation (PWM) method was used to control the braking pressure, and thereby to bring ABS control. An automotive ABS test and control system was constructed. Road tests under different conditions were completed according to international standards. Test results show that an antilock braking control method based on LSSVM has good braking stability and adaptability. It is an effective new ABS control method.
