The application belongs to the technical field of electric
digital data processing, and particularly relates to a digital
processing system for adaptive depth of a land
leveler. The
system acquires a tool spindle torque
signal sequence and a rack three-axis acceleration
signal sequence in real time, extracts a
frequency domain feature vector through
fast Fourier transform of a sliding window, and inputs a classifier to output a
soil dynamics parameter set. The dynamics parameter set is substituted into a
state space equation, a torque fluctuation variance minimization and an effective soil breaking volume maximization are taken as double objective functions, a maximum response rate of a hydraulic
system and an allowable maximum
structural stress are combined to construct a nonlinear
programming model. A sequential quadratic
programming algorithm is called to iteratively solve and output an optimal loosening depth setting value, which is converted into a hydraulic
proportional valve current control sequence through trajectory interpolation. The application suppresses depth control oscillation during operation of soft and hard alternating soil, reduces transient
impact load of a
transmission system, and balances loosening operation
power consumption and soil breaking quality.