Implicit integration with adjoint sensitivity propagation for optimal control problems involving differential-algebraic equations

For the solution of optimal control problem involving an index-1 differential-algebraic equation, an efficient function evaluation algorithm is proposed in this paper. In the evaluation procedure, the state equation is propagated forwards, then, adjoint sensitivity is propagated backwards. Thus, it...

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Main Authors: Jiang, C., Xie, K., Guo, Z., Teo, Kok Lay
Format: Conference Paper
Published: 2017
Online Access:http://hdl.handle.net/20.500.11937/59275
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author Jiang, C.
Xie, K.
Guo, Z.
Teo, Kok Lay
author_facet Jiang, C.
Xie, K.
Guo, Z.
Teo, Kok Lay
author_sort Jiang, C.
building Curtin Institutional Repository
collection Online Access
description For the solution of optimal control problem involving an index-1 differential-algebraic equation, an efficient function evaluation algorithm is proposed in this paper. In the evaluation procedure, the state equation is propagated forwards, then, adjoint sensitivity is propagated backwards. Thus, it is computationally more efficient than forward sensitivity propagation when the number of constraints is less than that of optimization variables. In order to reduce Newton iterations, the adjoint sensitivity is derived utilizing the implicit function theorem, and the integration procedure is accelerated by incorporating a predictor-corrector strategy. This algorithm is integrated with a nonlinear programming solver Ipopt to solve sequentially the point-to-point optimal control for a Delta robot with constrained motor torque. Numerical experiments demonstrate the efficiency of this algorithm.
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format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T10:15:43Z
publishDate 2017
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spelling curtin-20.500.11937-592752018-05-08T06:05:23Z Implicit integration with adjoint sensitivity propagation for optimal control problems involving differential-algebraic equations Jiang, C. Xie, K. Guo, Z. Teo, Kok Lay For the solution of optimal control problem involving an index-1 differential-algebraic equation, an efficient function evaluation algorithm is proposed in this paper. In the evaluation procedure, the state equation is propagated forwards, then, adjoint sensitivity is propagated backwards. Thus, it is computationally more efficient than forward sensitivity propagation when the number of constraints is less than that of optimization variables. In order to reduce Newton iterations, the adjoint sensitivity is derived utilizing the implicit function theorem, and the integration procedure is accelerated by incorporating a predictor-corrector strategy. This algorithm is integrated with a nonlinear programming solver Ipopt to solve sequentially the point-to-point optimal control for a Delta robot with constrained motor torque. Numerical experiments demonstrate the efficiency of this algorithm. 2017 Conference Paper http://hdl.handle.net/20.500.11937/59275 10.23919/ChiCC.2017.8027734 fulltext
spellingShingle Jiang, C.
Xie, K.
Guo, Z.
Teo, Kok Lay
Implicit integration with adjoint sensitivity propagation for optimal control problems involving differential-algebraic equations
title Implicit integration with adjoint sensitivity propagation for optimal control problems involving differential-algebraic equations
title_full Implicit integration with adjoint sensitivity propagation for optimal control problems involving differential-algebraic equations
title_fullStr Implicit integration with adjoint sensitivity propagation for optimal control problems involving differential-algebraic equations
title_full_unstemmed Implicit integration with adjoint sensitivity propagation for optimal control problems involving differential-algebraic equations
title_short Implicit integration with adjoint sensitivity propagation for optimal control problems involving differential-algebraic equations
title_sort implicit integration with adjoint sensitivity propagation for optimal control problems involving differential-algebraic equations
url http://hdl.handle.net/20.500.11937/59275