Research on Automatic Control of Rapid Tunnel Excavation Based on Group Intelligence Algorithm
In order to improve the excavation efficiency and optimize the mining process of mine resources,an auto-matic control method of roadway rapid excavation based on swarm intelligence algorithm is proposed.The data of load cylinder pressure,vibration acceleration of cutting arm and current of cutting motor of roadheader are collected and input into Q-RBF neural network model.The load signal of cutting arm of roadheader is iteratively output through this model,and the expected swing speed of cutting arm of roadheader is obtained after the load signal is converted into swing speed.The expected swing speed and real-time swing speed are input into fuzzy PID controller at the same time,and the parameters of fuzzy PID controller are adjusted to output swing speed control parameters of cutting arm of roadheader,thus realizing automatic control of rapid roadway excavation.The experiment shows that this method can realize the swing speed control of the cutting arm of the roadheader,and the overshoot value is small,and the application effect is remarkable.
swarm intelligence algorithmrapid excavation of the roadautomation controlPID controllerQ-RBF neural network
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