Title
A modularization approach for nonlinear model predictive control of distributed fast systems
Abstract
Distributed interconnected systems are omnipresent today. The development of advanced control methods for such systems are still challenging. Herein, the real-time applicability, flexibility, portability and ease of implementation are issues of the existing control solutions, especially for more advanced methods such as model predictive control. This paper is addressing these issues by presenting an efficient modular composition scheme for distributed fast nonlinear systems. The advantage of this modularization approach is the capability of changing control objectives, constraints, dynamics and system topology online while maintaining fast computation. This work analyzes the functions that have to be provided for a continuation generalized minimal residual method (CGMRES) model predictive controller based on the underlying control problem. The specific structure of these functions allows their decomposition into suitable fast modules. These modules are then used to recompose the functions which are required for the control of distributed systems in a computational efficient way, while maintaining the flexibility to dynamically exchange system parts. To validate this computational efficiency, the computation time of the proposed modular control approach is compared with a standard nonmodular implementation in a pursuit scenario of quadrotor unmanned aerial vehicles (UAV). Furthermore the real-time applicability is discussed for the given scenario.
Year
DOI
Venue
2016
10.1109/MED.2016.7535973
Mediterranean Conference on Control and Automation
Field
DocType
ISSN
Control theory,Nonlinear system,Generalized minimal residual method,Computer science,Control theory,Model predictive control,Control engineering,Software portability,Modular programming,Modular design,Computation
Conference
2325-369X
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Jan Eric Dentler100.34
Kannan Somasundar2264.18
Miguel Angel Olivares Mendez300.34
Holger Voos411834.98