A NMPC Scheme Based on Stirling's Interpolation Formula Approximation Method

Jun Feng Gai; Guo Rong Zhao; Da Wang Zhou

doi:10.4028/www.scientific.net/AMM.530-531.977

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 530-531A NMPC Scheme Based on Stirling's Interpolation...

A NMPC Scheme Based on Stirling's Interpolation Formula Approximation Method

Abstract:

For a kind of nonlinear system whose input-output function is not differentiable, we proposed a model predictive control scheme based on linearization approximation method. We linearized the object nonlinear system using Stirling's interpolation formula method, and reformulated the control performance index to a quadratic optimization problem, and then, we obtained the optimization control sequences by solving the quadratic optimization problem. In order to reduce the complexity of computation, we ignored the high-order terms associated with the linearization. The simulations show that the presented NMPC scheme can achieve a satisfactory control result, also can decrease the dissipation of control energy and control time.

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Periodical:

Applied Mechanics and Materials (Volumes 530-531)

Pages:

977-980

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.530-531.977

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Online since:

February 2014

Authors:

Jun Feng Gai*, Guo Rong Zhao, Da Wang Zhou

Keywords:

Nonlinear Model Predictive Control, Quadratic Optimization Problem, Stirling's Interpolation Formula

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