基于Hammerstein模型的非线性建模与预测控制 |
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引用本文: | 张 倩,王群京,李国丽.基于Hammerstein模型的非线性建模与预测控制[J].南京航空航天大学学报,2014,46(1):165-169. |
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作者姓名: | 张 倩 王群京 李国丽 |
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作者单位: | 安徽大学电气工程与自动化学院 |
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摘 要: | 所有实际的运动机构中都包含一定的非线性,对其进行精确的建模和控制是运动控制中具有挑战性的难题。文中提出了基于粒子群优化算法的RLS-PSO系统辨识建模方法,所得伺服转台模型具有良好拟合效果;对该模型提出改进的两步法,应用基于预测函数控制(Predictive functional control,PFC)的全局优化预测控制;伺服转台的仿真运行结果表明跟踪效果良好。
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关 键 词: | Hammerstein模型 参数辨识模型 预测控制 伺服系统 |
Nonlinear Modeling and Model Predictive Control Based on Hammerstein Model |
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Abstract: | There are nonlinearities almost in all of the kinematic mechanisms. The accurate modeling and precise control are both challenging problems in the field of kinematic control. An approach to RLS-PSO parameter identification based on particle swarm optimization is approved, which gets a great model of servo turntable. The global optimization predictive controller based on predictive functional control(PFC) is applied to the servo turntable through modified two-step method. And the simulation results show the effectiveness of modeling method and control algorithm of the servo system. |
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Keywords: | Hammerstein model parameter identification model predictive control servo system |
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