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| 基于粒子群优化算法的模糊神经分数阶PID电子节气门控制器设计 | |
| 引用本文： | 臧怀泉,曹学铭,张乃斯,戴彦,赵保军.基于粒子群优化算法的模糊神经分数阶PID电子节气门控制器设计[J].燕山大学学报,2014(4):354-360. |
| 作者姓名： | 臧怀泉 曹学铭 张乃斯 戴彦 赵保军 |
| 作者单位： | 1. 燕山大学 电气工程学院,河北秦皇岛,066004 2. 唐山学院 信息工程系,河北 唐山,063000 3. 北京理工大学 信息与电子学院,北京,100081 |
| 基金项目： | 国家高技术研究发展计划(863计划)资助项目 |
| 摘 要： | 针对汽车电子节气门的精确跟踪控制问题, 建立了面向控制器设计的非线性模型,分析了摩擦非线性以及LH 非线性对电子节气门位置的影响.采用模糊神经分数阶PID 控制方法设计了电子节气门非线性控制器,并利用粒子群优化算法对控制器参数进行优化.最后将扰动考虑在内进行了仿真实验,仿真实验表明基于模糊神经分数阶PID的控制方法能够很好地实现电子节气门控制. |
| 关 键 词： | 模糊神经分数阶PID控制器 粒子群优化算法 电子节气门 |
Fuzzy neural network fractional-order PID control of electronic throttle based on PSO optimization algorithm |
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| ZANG Huai-quan,CAO Xue-ming,ZHANG Nai-si,DAI Yan,ZHAO Bao-jun.Fuzzy neural network fractional-order PID control of electronic throttle based on PSO optimization algorithm[J].Journal of Yanshan University,2014(4):354-360. | |
| Authors: | ZANG Huai-quan CAO Xue-ming ZHANG Nai-si DAI Yan ZHAO Bao-jun |
| Institution: | ZANG Huai-quan, CAO Xue-ming, ZHANG Nai-si, DAI Yan, ZHAO Bao-jun(1. College of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China; 2. Department of InfomationEngineering, Tangshan College, Tangshan, Hebei 063000, China; 3. School of Information and Electronics, Beijing Instituteof Technology, Beijing 100081, China) |
| Abstract: | For the precision of tracking performance of automotive electronic throttle, a nonlinear model for controller is designedand the effect on the electronic throttle position by the friction nonlinear and the LHnonlinear is analyzed. The throttle＇s nonlinearcontroller is designed by using fuzzy neural network fractional-order PID technique, and the controller parameters are optimizedby particle swarmoptimization. Finally, simulation results which taking the disturbance into consideration shows that thementionedcontrolling method can realize the controlling of the electrical throttle splendidly. |
| Keywords: | fuzzy neural network fractional-order PID controller PSO electronic throttle |
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