信息与控制2017,Vol.46Issue(2):172-177,6.DOI:10.13976/j.cnki.xk.2017.0172
基于Hammerstein模型的非线性分离法预测控制
Nonlinear Separation Predictive Control Based on Hammerstein Model
摘要
Abstract
We synthesize a stable predictive controller based on the Hammerstein model by using the nonlinear separation method.Firstly,we obtain the desired intermediate variable by using the finite-horizon stable predictive control method,and then we obtain the real control action by solving nonlinear algebraic equations.While calculating the desired intermediate variable,we consider the uncertainty in input nonlinearity and the error in solving nonlinear algebraic equations.In determining the terminal constraint set and terminal state weighting matrix for the finite-horizon optimization problem,we utilize the parameter-dependent method and introduce the reference set to optimize the terminal constraint set.The algorithm is validated with a simulation example.关键词
Hammerstein模型/非线性分离法/预测控制/稳定性综合Key words
Hammerstein model/nonlinear separation/predictive control/stability synthesis分类
信息技术与安全科学引用本文复制引用
李元明,潘红光,邹涛,钱新华..基于Hammerstein模型的非线性分离法预测控制[J].信息与控制,2017,46(2):172-177,6.基金项目
国家高技术研究发展计划资助项目(22014AA041801) (22014AA041801)
国家自然科学基金资助项目(61603295) (61603295)