Author:
Jean Thomas
Affiliation:
Beni-Suef University, Egypt
Keyword(s):
Hybrid Systems, Nonlinear Model Predictive Control, Particle Swarm Optimization.
Related
Ontology
Subjects/Areas/Topics:
Evolutionary Computation and Control
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Modeling, Analysis and Control of Hybrid Dynamical Systems
;
Nonlinear Signals and Systems
;
Optimization Algorithms
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
The computation load remains the main challenge facing the control techniques of hybrid systems with discrete and continuous control signals. In this paper, a new hybrid controller based on Analytical Nonlinear Model Predictive Control (ANMPC) and Particle Swarm Optimization (PSO) for nonlinear hybrid systems is presented. The proposed controller offer sub-optimal solution in reasonable time while respecting the given constraints. The new developed technique is not considered as a computation burden, thus real-time implementation is possible for many hybrid systems. Besides, it can be applied directly to the nonlinear models, avoiding linearization which may lead to inaccurate model and unexpected behaviour. An application of the proposed controller to a three tanks example is presented.