Chaos, Solitons and Fractals 104 (2017) 18–27
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Chaos, Solitons and Fractals
Nonlinear Science, and Nonequilibrium and Complex Phenomena
journal homepage: www.elsevier.com/locate/chaos
Frontiers
Dynamics of a pendulum driven by a DC motor and magnetically
controlled
B. Nana
a,∗
, S.B. Yamgoué
a
, R. Tchitnga
b
, P. Woafo
c
a
Department of Physics, Higher Teacher Training College, University of Bamenda, PO Box 39 Bamenda, Cameroon
b
Laboratory of Electronics and Signal Processing, Faculty of Science, University of Dschang, PO Box 67 Dschang, Cameroon
c
Laboratory of Modelling and Simulation in Engineering, Biomimetics and Prototypes, Faculty of Science, University of Yaounde I, PO Box 812 Yaounde,
Cameroon
a r t i c l e i n f o
Article history:
Received 2 January 2017
Revised 23 July 2017
Accepted 31 July 2017
Keywords:
Electromechanical
Pendulum
Magnet
Chaos
a b s t r a c t
The paper is devoted to theoretical and experimental investigations of an electromechanical system con-
sisting of DC motor, a physical pendulum with the repulsive magnets. The work consists of modeling,
simulation and experimental measurements to validate the analytical predictions and the numerical sim-
ulation of the earlier introduced mathematical model. The parameters of the model are estimated using
the experimental data. The analyzed system shows several types of non-linear effects, including hys-
teresis, jump phenomena, chaos and periodic dynamics. Good agreement between real and simulated
behavior of the system is obtained.
© 2017 Elsevier Ltd. All rights reserved.
1. Introduction
Electromechanical systems play an essential role in fulfilling the
needs of modern technological applications. The electrical energy
supplied to these systems is transformed into mechanical energy
with an efficiency of 80 per cent by electric drives [1]. Physicists
are particularly interested in those kinds of the dynamical systems,
since they are relatively simple but can exhibit almost all aspects
and phenomena of non-linear dynamics. As consequence, the range
of technological tasks that need these systems broadens every year.
This results in an increasing necessity for more advanced mod-
eling, identification and control strategies for these systems. Many
applications need a sufficiently concise and accurate description
of the dynamics of these systems. This is especially true in au-
tomatic control applications. Dynamic models describing the elec-
tromechanical system in use can be developed using principles of
physics. However, models constructed in this way may be difficult
to derive due to lack of sufficient knowledge or uncertainties in
system dynamics.
Given their numerous applications in engineering, many stud-
ies on the nonlinear dynamics of mechanical systems have been
∗
Corresponding author:
E-mail address: na1bo@yahoo.fr (B. Nana).
URL: http://www.lamsebp.org (B. Nana)
made. These mechanical systems are composed of pendulums in
different configurations including planetary or spatial pendulums,
simple or multiple, and sometimes parametrically excited pendu-
lums [2–5]. In some case an experiment is performed in order to
confirm analytical or numerical investigations [6–8]. Sometime, in
order to achieve a good agreement between the model predictions
and experimental data, one must take into account many details
concerning physical modeling of the real process [9,10].
Mechanical structures such as models of pendulum-like lever
arms and mechanical manipulators are increasingly attracting a lot
of attention as their dynamical behavior has shown to exhibit dif-
ferent phenomena related to oscillations, bifurcation, and chaos. In
the work [12], the authors investigated both numerically and ex-
perimentally an electromechanical system driven by a DC motor.
The angular velocity of the mechanical part was almost constant
because the power of the motor was relatively high. Mathemati-
cal modeling of the same system under simplifying conditions was
presented in [13].
Electromechanical pendulums have important applications in
space exploration, manufacturing automation, construction, min-
ing, hazardous operations, and many other areas. Although signif-
icant progresses have been made in many aspects over the last
one and half decade, many issues are not resolved yet, and fur-
ther efforts and results in this area would contribute significantly
to robotics, and in particular, automation. Research activities have
http://dx.doi.org/10.1016/j.chaos.2017.07.027
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