A New Firefly Algorithm and its Application to PID Control of Scraper Conveyor's Extensible Tail
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摘要: 为了提高刮板输送机伸缩机尾控制系统的工作性能,提出了一种新型萤火虫算法应用于机尾PID控制器的控制策略。在标准萤火虫算法的动态决策域半径更新公式中,为克服优化初期寻优速度慢和增强算法的全局探测能力,对其中决策域更新系数进行改进;同时利用步长单调递减对位置更新公式中移动步长进行改进,以增强算法后期的深度搜索能力。研究结果表明:新型萤火虫算法的精度及稳定性均优于原算法。建立刮板输送机伸缩机尾电液控制系统数学模型,利用新型萤火虫算法进行PID参数整定优化,并引入能量指标和超调量指标改进适应度函数,优化后的刮板输送机伸缩机尾控制系统具有良好控制品质和鲁棒性。Abstract: In order to improve the control performance of a scraper conveyor extensible tail, a new firefly algorithm for the extensible tail PID controller is proposed. According to the dynamic decision domain radius update formula of the standard firefly algorithm, the updating coefficient of the decision domain is improved to enhance the initial search speed and global detection ability of the firefly algorithm. At the same time, the step-length monotone decreasing is used to improve the mobile step length in the position updating formula to enhance the depth search capability of the firefly algorithm. The results show that the accuracy and stability of the new firefly algorithm are better than those of the original algorithm. The model of scraper conveyor extensible tail controller and the PID controller parameters are tuned by the new firefly algorithm. The fitness function is improved by introducing energy indexes and overshoot indexes. The optimized controller of scraper conveyor extensible tail has a good control performance and robustness.
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Key words:
- scraper conveyor /
- extensible tail /
- controller /
- firefly algorithm /
- PID parameter optimization
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