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首页> 外文期刊>Journal of Computers >Direct Torque Control System for Coal Mine Equipment Based on Improved Genetic Algorithms
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Direct Torque Control System for Coal Mine Equipment Based on Improved Genetic Algorithms

机译：基于改进遗传算法的煤矿设备直接扭矩控制系统

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—The belt conveyor is the main transport equipments in coal field, and its controllable dirve system directly impacts on the running safety reliability and cost in coal production. Starting speed is unsmoothed in the traditional electrical drive system, which causes the belt off tracking or split and even safty accident. Therefore it is theory and practical significant to introduce a novel direct torque control (DTC) system of AC machine to the belt conveyor for solving the problem in coal mine. In allusion to the optimization of PID parameters in the speed regulators of the belt conveyor, the paper presents the improved genetic algorithm based on genetic algorithms and tabu search for the design of variable parameters of PID controller, and its ability of stronger climbing and faster finding the global optimum results are verified through the De Jong function. Compared with the traditional means, the rise time of the suggested system is faster, overshoot and regulating time is shorter, anti-disturbance is stronger, robust is better. So the optimization performance of control system is improved greatly.
机译：- 皮带输送机是煤田的主要运输设备，其可控导电系统直接影响运行安全可靠性和煤炭生产成本。传统电动驱动系统中的起始速度是令人满意的，这导致皮带断开跟踪或分裂甚至安全事故。因此，它是理论和实践意义，引入带式输送机的新型直接扭矩控制（DTC）系统，用于解决煤矿问题。在典范中，在皮带输送机的速度调节器中优化PID参数，纸张基于遗传算法和禁忌搜索PID控制器变量参数的设计改进的遗传算法，其攀登和更快发现的能力通过De Jong功能验证了全局最佳结果。与传统手段相比，建议系统的上升时间更快，过冲和调节时间较短，抗干扰较强，稳健更好。因此，控制系统的优化性能大大提高。

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