Automobile clutch control comfort evaluation method based on artificial neural network
An artificial neural network and evaluation method technology, applied in the field of mechanical testing, can solve the problems of neglecting comfort, clutch quantitative testing, etc., and achieve the effect of simplifying the process, improving accuracy, and strong practicability
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[0034] Taking one of the test clutches for trucks as an example, the specific implementation method of comfort scoring modeling based on BP neural network is carried out.
[0035] Step (1) select model variables.
[0036] Mechanism analysis. The output of the model is the expert's score value for the specific clutch. According to the clutch manipulation experience of the experts, such as "very light", "light", "light", "comfortable", "heavy", "heavy", "very heavy", the score is in [0, 10] between. combined with figure 1 On the one hand, the pedal force should be small enough, on the other hand, the pedal position and stroke should be appropriate, and the pedaling should be convenient. Accurate control means that the position of the clutch engagement start point and complete disengagement point is clear, and the engagement adjustment area is easy to operate and quick in response. There are also requirements for the clutch: the work should be stable, reliable, and have a lo...
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