| 基于模糊遗传算法的选矿破碎系统优化控制 |
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| 引用本文： | 吴宇平,章家岩,吴其玲,冯旭刚.基于模糊遗传算法的选矿破碎系统优化控制[J].微型电脑应用,2014(8):27-29. |
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| 作者姓名： | 吴宇平 章家岩 吴其玲 冯旭刚 |
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| 作者单位： | 安徽工业大学,电器与信息工程学院,马鞍山243000 |
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| 摘 要： | 矿石破碎是选矿工业流程中的关键环节,破碎过程要求机腔料位稳定,以提高破碎处理流程的工作效率.针对给料机及破碎机具有的惯性、滞后、非线性时变特点,提出了一种基于模糊遗传优化算法的碎矿系统给矿量优化控制策略,控制器采用模糊自适应PID控制算法,并利用遗传算法对控制器参数进行优化,以提高参数在线寻优能力.仿真结果验证了本文提出的优化控制策略的有效性,表明控制系统具有较好的动态品质和较强的抑制干扰能力.
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| 关 键 词： | 给矿量控制 模糊控制 遗传算法 |
Optimal Control of the Crushing System Based on Fuzzy Genetic Algorithm |
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| Wu Yuping,Zhang Jiayan,Wu Qiling,Feng Xugang.Optimal Control of the Crushing System Based on Fuzzy Genetic Algorithm[J].Microcomputer Applications,2014(8):27-29. |
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| Authors: | Wu Yuping Zhang Jiayan Wu Qiling Feng Xugang |
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| Affiliation: | (School of Electrical and Information Engineering, Anhui University of Technology, Ma＇anshan 243002, China) |
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| Abstract: | Ore crushing is the key link of the beneficiation of industrial processes, the material level of the machine cavity duringcrushing process is needed to be stable in order to improve the efficiency of crushing process. For mineral crushing system withinertia, hysteresis and nonlinear time-varying, this article proposed control strategies about ore quantity of the crushing systembased on fuzzy genetic optimization algorithm. Fuzzy adaptive PID control strategy as a controller, uses genetic algorithms ascontroller parameter optimization algorithms to improve the performance parameters of on-line optimization. The results of thesimulation showed that the control system can achieve higher control accuracy and satisfactory control effect. |
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| Keywords: | Feed Control Fuzzy Control Genetic Algorithm |
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