Research on model predictive control model in application of shearer height-adjusting system
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摘要: 针对目前采煤机调高系统中通常使用电磁开关阀调高，存在稳定性不高、精度欠佳等问题，以MG300/700-WD型交流电牵引采煤机为研究对象，通过在其调高系统常规模型中加入模型预测控制器，建立了该采煤机调高系统模型预测控制模型；对该模型预测控制器的采样时间和预测时域长度2个参数进行调整，可减少电磁开关阀的开关次数和工作时间，使滚筒根据目标高度进行准确实时调高。仿真结果表明，与常规模型相比，基于模型预测控制模型的采煤机调高系统在给定输入后6 s左右达到稳定，减少了电磁开关阀开关次数，超调量降低了28.8%，提高了系统的稳定性与实时性。Abstract: In view of the problems of lower stability and poor precision existed in present shearer height-adjustment system, which used electromagnetic switch valve to adjust height of drum, a model predictive control model of the shearer height-adjustment system was established through adding model predictive controller in conventional model of the shearer height-adjusting system and taking MG300/700-WD type AC traction shearer as the research object. The switching frequency of electromagnetic switch valve and working hours were reduced by adjusting sampling time and predictive time domain length of model predictive controller, the drum can be realize accurate and real time height adjustment according to the target height. Simulation results show that the shearer height-adjustment system based on model predictive control model can achieve stability in 6 s after given input compared with the conventional model, switch frequency of the electromagnetic switch valve is reduced, overshoot amount is decreased by 28.8%, stability and real-time performance of the system are improved.
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期刊类型引用(5)
1. 马宏伟，赵英杰，薛旭升，吴海雁，毛清华，杨会武，张旭辉，车万里，曹现刚，赵友军，王川伟，赵亦辉，王鹏，孙思雅，马柯翔，李烺. 智能采煤机器人关键技术. 煤炭学报. 2024(02): 1174-1182 . 
百度学术
2. 王宇. 基于PSO-Fuzzy PID算法的采煤机调高控制策略研究. 山西焦煤科技. 2024(04): 28-31 . 百度学术
3. 蔡志全，董彦华. 基于改进萤火虫算法的采煤机滚筒自适应调高控制. 煤炭技术. 2023(03): 238-240 . 百度学术
4. 李亚光. 采煤机运动轨迹的精准跟踪控制. 机械管理开发. 2021(04): 207-208+211 . 百度学术
5. 景智. 基于PLC的采煤机滚筒智能调高控制系统设计. 自动化应用. 2020(05): 17-18+23 . 百度学术
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