Adaptive PID Control for Energy-saving of Hydraulic Excavator Based on Single Neuron

An adaptive PID controller for energy-saving of a hydraulic excavator based on the single neuron concept was designed on the basis of the fact that the single neuron features the PID characteristics. The on-line adjustments of the coefficients of proportion, integral and differential of the classical PID controller were realized by means of the self-study of the neurons, allowing the adaptive control for the power-matching of the hydraulic excavator. The simulation results showed that the single neuron PID adaptive controller is characterized by the strong robustness.