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在井下,采煤机牵引速度直接影响到采煤机的效率及可靠性。以MG70*2/325-BWD型采煤机为研究对象,从采煤机可靠性出发,采用Simulink建立了基于采煤机关键零件可靠性的智能调速系统,解决了牵引电机负载转矩模块、经过神经网络拟合的最优牵引速度生成模块等模块的构建及仿真问题,仿真结果表明:该系统可实现牵引速度对推荐最优牵引速度的快速、精准跟踪;当煤岩坚固性系数为2.85、截割深度为0.58 m时,牵引电机转速最大为1 142.06 r/min,牵引速度可达到4.85 m/min;由于牵引电机裕度较大,可通过提高薄弱环节可靠性来进一步提升采煤机生产效率,使采煤机整体性能达最优。
In the mine, the shearer traction speed directly affects the efficiency and reliability of shearer. Taking the MG70 * 2/325-BWD coal-winning machine as the research object, based on the reliability of the shearer, an intelligent speed-governing system based on the reliability of the key parts of the coal winning machine was established by using Simulink to solve the problem that the traction motor load torque module , The best traction speed generation module fitting and so on through the neural network is constructed and simulated. The simulation results show that the system can realize the fast and accurate tracking of the recommended optimal traction speed; when the rock solidity coefficient is 2.85 and the cutting depth is 0.58 m, the maximum speed of the traction motor is 1 142.06 r / min and the traction speed can reach 4.85 m / min. Due to the large margin of the traction motor, the coal mining can be further enhanced by improving the reliability of the weak link Machine production efficiency, the overall performance of the shearer up to the best.