悬臂式掘进机恒功率变频调速控制器的设计  

Controller design for constant power variable frequency speed of boom-type roadheader based on DSP

作　　者：赵振民[1] 刘若涵[1] 赵杰[1] 

机构地区：[1]黑龙江科技大学电气与控制工程学院,哈尔滨150022

出　　处：《黑龙江科技学院学报》2014年第5期539-542,共4页Journal of Heilongjiang Institute of Science and Technology

摘　　要：针对悬臂式掘进机在矿井掘进时情况复杂和负载变化较大的特点,采用高度非线性识别能力的神经网络与遗传算法相融合的方法,实现悬臂式掘进机恒功率变频调速系统的控制。该方法运用遗传算法训练BP神经网络的连接权系数,改进网络性能,提高学习效率,根据系统电流的实际情况对掘进机进行变频调速控制,利用MATLAB/Simulink软件对系统进行仿真分析。结果表明:该方法所设计的以DSP为控制核心的掘进机恒功率调速控制器具有一定的学习和适应能力,能根据电流变化自动调整电机的转速,实现了掘进机恒功率变频调速,提高了掘进机的工作效率和系统的稳定性。This paper presents a combination of artificial neural network capable of high nonlinear recognition ability and genetic algorithms in an effort to address a more complex situation and larger load change to which boom-type road headers are exposed in mine tunneling. This method performing better for controlling constant power variable frequency speed system of boom-type roadheader works by using genetic algorithm to train connection weights of BP network, improving network performance and learning efficiency, controlling roadheader by regulating frequency speed according to the actual situation of cur- rent, and obtaining system simulation analysis using MATLAB / Simnlink software. The experiment show that the method can design DSP as control core with roadheader constant power speed controller, which demonstrates a certain ability of learning and adaption and promises to adjust the motor speed automatical- ly based on current change, contributing to achieving roadheader constant power variable frequency speed with simple control and high reliability and enhancing working efficiency and system stability.

关 键 词：掘进机 DSP 神经网络 遗传算法 恒功率 

分 类 号：TD632[矿业工程—矿山机电]