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Model predictive control algorithm verification with the use of real time xpc target platform

Miller A., Rybczak M.

Zeszyty Naukowe Akademii Morskiej w Gdyni

2014

nr 84

73--84

There is a need to check the effects of automatic regulation system, before it is used in real conditions when sailing on Silm Lake. Simulink Real-Time platform, which is a component of Matlab software, is designed for simulation of automatic control systems working on the basis of real objects. In the simulations nonlinear mathematical model of real floating training ship is used as a control object. The model contains modeled filters used for longitudinal, transversal and rotational speeds on the basis of position change and transducers for thrusters and steering gear. Above mentioned simulations are conducted in real time, because it allows for taking into account time of the signals propagation and digital signal processing effects. This article presents the real time lab station system configuration. Simulation results for Model Predictve Control system are described and presented.

Symulacja układu dynamicznego z wykorzystaniem procesora ARM

Nowik M.

Pomiary Automatyka Kontrola

2010

R. 56, nr 8

890-892

W artykule opisano etapy wykonania interaktywnej symulacji zachowania mechanicznego obiektu dynamicznego na przenośnej platformie z procesorem ARM. Zamierzeniem autora było praktyczne zbadanie przydatności mikrokontrolera do tego typu zastosowań. W przyszłości podobna platforma ma zostać użyta w przenośnym urządzeniu pomiarowym. Pewien etap algorytmu realizowanego przez nie, będzie stanowiło rozwiązanie odwrotnego zagadnienia przewodzenia ciepła.

The paper describes all stages of interactive simulation imitating behaviour of a mechanical dynamic system. The aim is to prove that such computations can be run on a low cost ARM processor. At first the dynamic system is described with differential equations (Section 2). The simulations were performed using Matlab (Section 3). All parameters of the simulated system were selected. The solution was found using different solvers (ode45, RK2, RK4, Euler) and the most suitable one was chosen for the following stages. The code was rewritten in C language and compiled to ARM machine code. In order to let the user affect the simulations, the platform peripherials were enriched by adding an accelerometer. In the paper one can find all necessary equations, the system trajectories obtained when using different solvers and photos of the working platform. As mentioned before, the simulations include a practical test of the CortexM3 processor that was chosen to build the advanced measurement equipment. In future the machine should be able to solve the inverted heat transfer problem.