Optimal control of multiple-time delayed systems based on the control parameterization method

Weihua Gui, Xiaoyu Shen, Ning Chen, Chunhua Yang, L. Y. Wang

Abstract


In this paper we study optimal control computation based on the control parameterization method for a class of optimal control problems involving nonlinear systems with multiple time delays subject to continuous state inequality constraints. Both the state and the control are allowed to have different time delays, and they are uncorrelated in this system. The control of the dynamical system is approximated by a piecewise constant function whose heights are taken as decision vectors. The formulae for computing the gradients of the cost and constraint functions are then derived. Based on this, a computational method for finding the optimal control is developed by utilizing the Sequential Quadratic Programming (SQP) algorithm with an active set strategy. The computational method is applied to an industrial problem arising in the purification process of zinc hydrometallurgy. Numerical simulation shows that the amount of zinc powder that is needed can be decreased significantly, thus avoiding wastage of resources.

doi:10.1017/S1446181112000053

Keywords


multiple-time delayed system, control parameterization, continuous state inequality constraints, SQP algorithm



DOI: http://dx.doi.org/10.21914/anziamj.v53i0.4359



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ANZIAM Journal, ISSN 1446-8735, copyright Australian Mathematical Society.