Fig 1.
Schematic diagram of force analysis on the cutting head and pick of the roadheader.
Fig 2.
Schematic diagram of FEM modeling and mesh division of cutter-rock mass.
Fig 3.
Theoretical calculation of cutting head load and FEM correction flowchart.
Fig 4.
Multi-objective optimization flowchart of cutting parameters.
Table 1.
Sensitivity analysis of Pareto optimal solutions.
Fig 5.
Diagram of intelligent control system based on RBF-PID.
Fig 6.
Schematic diagram of the joint simulation architecture of MBD-DEM.
Fig 7.
PPO-based cutting load control framework diagram for roadheaders.
Fig 8.
Schematic of PPO network structure.
Fig 9.
Comparison of steady-state effects of load dynamic simulation of various models under constant operating conditions.
Table 2.
Prediction performance of IRAC-MCS model in dynamic load simulation driven by geological data.
Table 3.
Load dynamic simulation effect of IRAC-MCS model under extreme working conditions.
Fig 10.
Comparison of dynamic response performance of various models under sudden change conditions.
Table 4.
Performance comparison with advanced models from recent literature.
Fig 11.
Comparison of robustness of various models under noise interference.
Fig 12.
Model learning convergence and multi-objective performance evaluation.
Fig 13.
Simulation application effect of IRAC-MCS model in different roadway environments.
Table 5.
Long-term operation optimization effects driven by reinforcement learning in the IRAC-MCS model.
Table 6.
Comparison between field measured data and simulation results.