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Abstract: A
dead-section and integral saturation restrain PID controller is designed
according to the character of the hydro-mechanical transmission. BP
neural net is used to adjust the three parameters of the
PID control arithmetic using the most-rapid descending arithmetic with a
inertia item. The number of medial node in the BP neural net, the study
rate and inertia coefficient in the most-rapid descending arithmetic are
determined by theoretical analysis and tests respectively. The results
of the tests in the lab show that the PID controller can make the output
of the driving unit be constant under speed adjusted. That means the PID
controller can make the engine work in the most powerful or the most
economical mode by adjusting the ratio of the hydro-mechanical
transmission if that is used in the automobiles.
Key words: Hydro-mechanical
transmission Stepless transmission Neural net PID control
CLC No: TJ32
Received
20031021, received in revised form 20040118
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