挖泥船泥浆浓度模糊PID控制器的设计研究
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摘要
文章针对传统的PID控制难以快速响应保证产量和效率稳定的问题,提出了基于模糊PID控制理论的泥浆浓度控制方法。首先介绍了模糊PID控制器的原理,然后确定了模糊语言变量和隶属函数,并制定了模糊规则和反模糊化方法。在Matlab仿真平台中设计了模糊PID控制器,对泥浆输送系统进行仿真。仿真结果表明:模糊PID控制器相较于PID控制器对于泥浆浓度控制的时域性能具有一定的改善作用,并能提高泥浆浓度的稳定性,进而保证挖泥船产量和效率的稳定性。
In order to solve the problem that the traditional PID control is difficult to respond quickly to ensure the stability of production and efficiency,the mud concentration control method based on fuzzy PID control theory is put forward,and the mud concentration is not stable when the dredger is working. Firstly,the principle of fuzzy PID controller is introduced,and then fuzzy language variables and membership functions are determined and fuzzy rules and anti-fuzzy methods are developed. A fuzzy PID controller is designed in the Matlab simulation platform to simulate the mud transport system. The simulation results show that the fuzzy PID controller has a certain improvement effect on the time domain performance of the mud concentration control,and can improve the stability of the mud concentration and ensure the stability of the dredger production and efficiency.
In order to solve the problem that the traditional PID control is difficult to respond quickly to ensure the stability of production and efficiency,the mud concentration control method based on fuzzy PID control theory is put forward,and the mud concentration is not stable when the dredger is working. Firstly,the principle of fuzzy PID controller is introduced,and then fuzzy language variables and membership functions are determined and fuzzy rules and anti-fuzzy methods are developed. A fuzzy PID controller is designed in the Matlab simulation platform to simulate the mud transport system. The simulation results show that the fuzzy PID controller has a certain improvement effect on the time domain performance of the mud concentration control,and can improve the stability of the mud concentration and ensure the stability of the dredger production and efficiency.
引文
[1]唐建中.绞吸式挖泥船疏浚作业优化与控制研究[D].杭州:浙江大学,2007.
[2]朱文亮,倪福生,王素红,等.疏浚泥浆浓度最优控制跟踪器的设计与实现[J].计算机工程与应用,2016,(8):1-8.
[3]闭治跃,王庆丰,唐建中.疏浚泥浆管道输送系统的节能机理及控制策略[J].浙江大学学报(工学版),2009,43(2):387-393.
[4]何炎平,谭家华,谷孝利,等.“宇大1号”大型绞吸式挖泥船设计要点[J].船海工程,2010,39(2):8-11.
[5]陈志坚,朱汉华,范世东,等.泥浆质量浓度对挖泥船泥泵工况的影响[J].船海工程,2016,45(4):170-172.
[6]赵笑笑.基于模糊理论与常规PID控制的模糊PID控制方法研究[J].山东电力技术,2009(6):54-56,63.
[7]德湘秩.基于预测模型的模糊PID参数自整定控制算法的研究与实现[D].吉林:东北大学,2008.
[8]田凡.电液伺服系统模糊PID控制仿真与试验研究[D].太原:太原理工大学,2010.
[2]朱文亮,倪福生,王素红,等.疏浚泥浆浓度最优控制跟踪器的设计与实现[J].计算机工程与应用,2016,(8):1-8.
[3]闭治跃,王庆丰,唐建中.疏浚泥浆管道输送系统的节能机理及控制策略[J].浙江大学学报(工学版),2009,43(2):387-393.
[4]何炎平,谭家华,谷孝利,等.“宇大1号”大型绞吸式挖泥船设计要点[J].船海工程,2010,39(2):8-11.
[5]陈志坚,朱汉华,范世东,等.泥浆质量浓度对挖泥船泥泵工况的影响[J].船海工程,2016,45(4):170-172.
[6]赵笑笑.基于模糊理论与常规PID控制的模糊PID控制方法研究[J].山东电力技术,2009(6):54-56,63.
[7]德湘秩.基于预测模型的模糊PID参数自整定控制算法的研究与实现[D].吉林:东北大学,2008.
[8]田凡.电液伺服系统模糊PID控制仿真与试验研究[D].太原:太原理工大学,2010.