Modelling, simulation and control of a class of hybrid dynamic systems: using hybrid automaton, APROS and mixed integer quadratic optimisation algorithm
by Mohamed Fouzi Belazreg; Khaled Halbaoui; Djamel Boukhetala; Mohamed El-Hadi Boulheouchat
International Journal of Computer Applications in Technology (IJCAT), Vol. 60, No. 2, 2019

Abstract: This paper presents modelling, simulation and control of a class of hybrid dynamic systems. Hybrid automaton is used for modelling a transition system with continuous dynamics. The framework consists of a finite set of state and transition for modelling a discrete dynamics called control mode. Each control mode describes continuous dynamics. Using APROS tools, it permits to simulate the behaviour of the hybrid system approaching in the experiment case: actuators, pumps and valves. Mixed logic dynamics formalism allows to describe the dynamics defined by logic rules, continuous dynamics and constraints. These are described by linear dynamic equations subject to linear inequalities involving continuous, discrete and auxiliary variables. This model is used to synthesise a predictive control law under constraints. The controller requires online mixed-integer quadratic programming solution to an optimisation problem. Simulation was performed to illustrate performances and efficiency of these methods and tools.

Online publication date: Mon, 10-Jun-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com