Resistance-adaptive Operation Control of Electric Tractor Plowing Unit
Efficient and high-quality plowing operation is essential for high food yields.The current slip rate control method by the hitch height adjustment causes uneven tillage depth.Therefore,a resistance-adaptive operation control method considering the speed and slip rate was proposed for an electric tractor plowing unit with adjustable center of the gravity.First,the unit dynamic model was established,and the interaction between the speed,slip rate,traction efficien-cy,inter-axle load and adhesion was revealed.Then,by using the fuzzy neural network algorithm,the driving torque and battery displacement were regulated to adapt the traction adhesion performance to the drag variation,allowing joint control of the speed and slip rate.Finally,the unit control test platform was built and the plowing experiment was carried out.The results showed that the maximum tillage speed deviation was only 0.48 km/h,the average slip rate was decreased by 21.42%,compared with those without control,and the traction efficiency was increased by 7.76%,which improved the operational stability and efficiency at a constant tillage depth and provided technical support for the automatic and intelli-gent precision operation of electric tractors.
electric tractorplowingadaptive controltraction efficiency
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