On optimal control of hybrid dynamical systems using complementarity constraints
Journal Article
·
· Journal of Process Control
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Zhejiang Univ., Hangzhou (China)
- Carnegie Mellon Univ., Pittsburgh, PA (United States)
Optimal control for switch-based dynamical systems is a challenging problem in the process control literature. In this study, we model these systems as hybrid dynamical systems with finite number of unknown switching points and reformulate them using non-smooth and non-convex complementarity constraints as a mathematical program with complementarity constraints (MPCC). We utilize a moving finite element based strategy to discretize the differential equation system to accurately locate the unknown switching points at the finite element boundary and achieve high-order accuracy at intermediate non-collocation points. We propose a globalization approach to solve the discretized MPCC problem using a mixed NLP/MILP-based strategy to converge to a non-spurious first-order optimal solution. The method is tested on three dynamic optimization examples, including a gas–liquid tank model and an optimal control problem with a sliding mode solution.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- 89233218CNA000001
- OSTI ID:
- 2572556
- Report Number(s):
- LA-UR--25-21926; 10.1016/j.jprocont.2025.103492
- Journal Information:
- Journal of Process Control, Journal Name: Journal of Process Control Vol. 153; ISSN 0959-1524
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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