Adriana
Comanescu
IFToMM, Romania
E-mail: adrianacomanescu@yahoo.com
Alexandra Rotaru
IFToMM, Romania
E-mail: alexandra.rotaru11@gmail.com
Liviu Marian
Ungureanu
IFToMM, Romania
E-mail: ungureanu.liviu.marian@gmail.com
Florian Ion
Tiberiu Petrescu
IFToMM, Romania
E-mail: fitpetrescu@gmail.com
Submission: 1/20/2021
Accept: 7/17/2021
ABSTRACT
The Stewart's leg is used today in the majority of parallel robotic systems, such as the Stewart platform, but also in many other types of mechanisms and kinematic chains, in order to operate them or to transmit motion. A special character in the study of robots is the study of inverse kinematics, with the help of which the map of the motor kinematic parameters necessary to obtain the trajectories imposed on the effector can be made. For this reason, in the proposed mechanism, we will present reverse kinematic modeling in this paper. The kinematic output parameters, ie the parameters of the foot and practically of the end effector, ie those of the point marked with T, will be determined for initiating the working algorithm with the help of logical functions, "If log(ical)", with the observation that here they play the role of input parameters; it is positioned as already specified in the inverse kinematics when the output is considered as input and the input as output. The logical functions used, as well as the entire calculation program used, were written in Math Cad.
Keywords: IFLOG; Math Cad;
Stewart platform; Stewart's leg; Robot; Kinematics; Inverse kinematics
1.
INTRODUCTION
The
parallel structure system that formed the basis of one of the most studied and
well-known parallel robots is the Gough platform from 1947. Described as a
mechanism with a mobile platform connected to a fixed base by six arms of
variable length, the Gough platform was used for testing tire wear in the most
varied operating conditions. Since 1965, this parallel configuration (in a
slightly modified form) has been proposed as a solution for the development of
flight simulators by Stewart.
Parallel
structures can be classified into completely parallel structures, whose final
effector is connected to the mobile platform by closed kinematic chains; and
hybrid or mixed structures consisting of a combination of serial and parallel
structures.
The
number of degrees of freedom (GDL) in a robot is the number of independent
movements that a robot-type mechanism can perform. The total number of degrees
of freedom of a body in space cannot exceed 6 (six). The degree of mobility of
a robot can be understood as the number of motors that drive it.
The
final effector (a gripping mechanism) is the device mounted on the end of a
manipulator that performs operations to hold the tool or the manipulated
object. The workspace is the volume of points in the space where the final
effector of a robot can be located.
By
the position of any object or point of the robot in question is meant the value
of the linear coordinates in the three-dimensional space of the object (or the
respective characteristic point).
Orientation
refers to the angular coordinates of an element (of the robot in question)
according to the axes of the fixed coordinate system.
Precision
(Accuracy) is the ability of the robot to position itself in a certain position
with a certain previously allowed limit error.
Repeatability
is the robot's ability to repeat its positioning when repetitive movements are
required.
Stability
refers to the robot's ability to operate with as few oscillations as possible.
A
good dynamics of a robot is obtained when it is statically and dynamically
balanced when it is positioned correctly and precisely, without oscillations,
without vibrations and high noises, with relatively high speeds, in imposed
repeatability conditions, and at the necessary work rhythm.
The
definition of a parallel robot is very broad: it can also include mechanisms
with more actuation systems than the number of degrees of mobility, including
the situation in which several robots work in cooperation.
Parallel
mechanisms have several main features: at least two kinematic chains support
the final effector, and each of them contains at least one actuating element;
the number of actuating elements is the same as the number of degrees of the
mobility of the final effector; the robot's mobility becomes zero when the
actuators are locked.
The
main advantages of parallel robots: they have very high stability even in
critical positions occupied even during high-speed movement, so that the
objects handled by them are always safe; positioning accuracy is extremely
high; at least two of the kinematic chains allow the distribution of the load
on them; the number of actuators is minimal; the number of sensors required for
closed-loop control of the machine is minimal; if the actuators are locked, the
parallel robot remains in the position reached the moment when it was locked,
i.e. it will become unbalanced, or fall, or drop the manipulated object, as can
happen with serial robots. For the most part, the balancing of these parallel
systems is done automatically, from the construction, giving them in this way
great stability and precision.
In
parallel robots, the motors are located on or near the frame, which makes the
moving masses much smaller than in the case of robots based on serial
structures. This makes it possible to reduce the masses to the constructive
execution of the components without the rigidity of the whole system being
harmed. This increases the dynamic capacity of the system and decreases the
weight of the system.
Because
the work platform is supported by several kinematic chains, the reaction forces
on the component chains are small, so that it is possible to obtain a
satisfactory ratio between the mass of the manipulated object and the mass of
the robot. Increasing the rigidity of the system can also be used for micro
robots for high positioning accuracy and very small dimensions. Due to the
stiffness and the small moving masses, the components of the parallel robots
can be executed more easily. This reduces the power requirement in the drive
system.
In
the case of parallel robots, drive systems with motors based on solid bodies (eg piezo-alloy motors with memory) can also be built. These
motors cannot be used in the case of serial structures due to their low driving
power. Passive torques of parallel structures contribute to the miniaturization
of the system.
Due
to the high rigidity of the parallel structures, the positioning accuracy, and
repeatability increase. In parallel robots, the errors in the components and in
the couplings do not accumulate as in the case of serial robots. Parallel
structures have rather compensatory characteristics that are advantageous in
micro-assembly and simplify the adjustment, command, and control system.
Due
to the fact that the motors are positioned on the frame, they can be separated
from the working space of the parallel structure. In this way, the power
supply, power, and communication cables can be easily insulated. This improves
the ability of robotic systems to work in a clean or aseptic environment (Antonescu
& Petrescu, 1985; 1989; Antonescu
et al., 1985a; 1985b; 1986; 1987; 1988; 1994; 1997; 2000a; 2000b; 2001; Atefi et al., 2008; Avaei et al.,
2008; Aversa et al., 2017a; 2017b; 2017c; 2017d; 2017e; 2016a; 2016b;
2016c; 2016d; 2016e; 2016f; 2016g; 2016h; 2016i; 2016j; 2016k; 2016l; 2016m;
2016n; 2016o; Azaga & Othman, 2008; Cao et al.,
2013; Dong et al., 2013; El-Tous, 2008; Comanescu,
2010; Franklin, 1930; He et al., 2013; Jolgaf
et al., 2008; Kannappan et al., 2008; Lee, 2013; Lin et
al., 2013; Liu et al., 2013; Meena & Rittidech,
2008; Meena et al., 2008; Mirsayar et al.,
2017; Ng et al., 2008; Padula, Perdereau
& Pannirselvam, 2008; 2013; Perumaal
& Jawahar, 2013; Petrescu,
2011; 2015a; 2015b; Petrescu & Petrescu, 1995a; 1995b; 1997a; 1997b; 1997c; 2000a; 2000b;
2002a; 2002b; 2003; 2005a; 2005b; 2005c; 2005d; 2005e; 2011a; 2011b; 2012a;
2012b; 2013a; 2013b; 2016a; 2016b; 2016c; Petrescu et
al., 2009; 2016; 2017a; 2017b; 2017c; 2017d; 2017e; 2017f; 2017g; 2017h;
2017i; 2017j; 2017k; 2017l; 2017m; 2017n; 2017o; 2017p; 2017q; 2017r; 2017s;
2017t; 2017u; 2017v; 2017w; 2017x; 2017y; 2017z; 2017aa; 2017ab; 2017ac;
2017ad; 2017ae; 2018a; 2018b; 2018c; 2018d; 2018e; 2018f; 2018g; 2018h; 2018i;
2018j; 2018k; 2018l; 2018m; 2018n; Pourmahmoud, 2008;
Rajasekaran et al., 2008; Shojaeefard
et al., 2008; Taher et al., 2008; Tavallaei & Tousi, 2008; Theansuwan & Triratanasirichai,
2008; Zahedi et al., 2008; Zulkifli
et al., 2008).
The Stewart's
leg is used today in the majority of parallel robotic systems, such as the
Stewart platform, but also in many other types of mechanisms and kinematic
chains, in order to operate them or to transmit motion. A special character in
the study of robots is the study of inverse kinematics, with the help of which
the map of the motor kinematic parameters necessary to obtain the trajectories
imposed on the effector can be made. For this reason, in the proposed
mechanism, we will present reverse kinematic modeling in this paper.
The
kinematic output parameters, ie the parameters of the
foot and practically of the end effector, ie those of
the point marked with T, will be determined for initiating the working
algorithm with the help of logical functions, "If log(ical)",
with the observation that here they play the role of input parameters; it is
positioned as already specified in the inverse kinematics when the output is
considered as input and the input as output. The logical functions used, as
well as the entire calculation program used, were written in Math Cad 2000.
2.
METHODS AND MATERIALS
The paper briefly studies the
inverse kinematics of a foot mechanism (Figure 1), formed with the help of
Stewart's foot.
Figure 1: Kinematic scheme of the step mechanism
2.1.
Trajectory of the extreme point t
In order to determine the trajectory
necessary for the extreme point T, the end effector, which represents the point
of contact between the foot and the ground, the logical functions (1-2)
"If Log" are used, as follows, where k is the general variable
considered:
XTk: = if
(k <= 50, X0-c.k, X0- c.50) (1)
YTk: = if
[k <= 50, Y0, Y0 + c. (K- 50)] (2)
3.
RESULTS AND DISCUSSION
3.1.
First, within the program used, in Mathcad 2000, the initial constants
are established (3):
XD := 0 YD:= -0.4
TK := 0.7 DF:= 0.7 TE:= 0.8 DE:= 0.8 DC:= 0.3 (3)
Next is established the "TRACK OF THE EXTREME T POINT"
(relation 4, Figure 2), where c represents the step:
X0:= -0.3 Y0:= -0.5
k:= 0..100
c:= 0.005
XTk: = if (k <= 50, X0-c.k, X0- c.50)
YTk: = if [k <= 50, Y0, Y0 + c. (K- 50)]
(4)
Figure 2: The coordinates of
the point T, y as a function of x
3.2.
Following are the kinematic calculations on the modular group "Dyad
RRR (6,3)".
Write
the initial values (5):
F60: = 45
F30: = 120
(5)
Convert
to computer radians (6):
F6: =
F60.p / 180
F3: =
F30.p / 180
(6)
"Given,
Solve and Find" are used to solve (8) the following nonlinear system (7), Figure
3.
Given
XTk-XD+TE.cos(F6)-DE.cos(F3)=0 (7)
YTk-YD+TE.sin(F6)-DE.sin(F3)=0
solk:=Find(F6,F3)
(8)
Figure 3: The angle Fi60 and
Fi30 values as a function of k
Note:
The general input variable k is generally written as a lower index in
MathCad2000, while in MathCad 15 it is written as a
variable (k) in a function between two small parentheses.
The
assignment equal used so far consists of two signs ":" and
"=", and can be entered from the corresponding toolbar, while the
equal used in an equation is the Boolean “=”.
The
parameters of the K-coupling, of the C-coupling, and of the F-coupling can now
be determined directly by assignment ":=" (9-11):
(9)
(10)
(11)
3.3.
Following are the kinematic calculations on the modular group "Dyad
RTR (1,2)".
Write
the initial values (12), and the algorithm (13), with diagrams (Figure 4):
F10: = 210
F1: = F10.p / 180
AC:= 0.1
(12)
Given
0-XCk+AC.cos(F1)=0
0-YCk+AC.sin(F1)=0
solk:=Find(AC,F1)
(13)
Figure 4: The angle Fi10 and
AC values as a function of k
Repeat
the procedure for determining the dyad (4,5).
3.4.
Following are the kinematic calculations on the modular group "Dyad
RTR (4,5)".
Write
the initial values (14), and the algorithm (15), with diagrams (Figure 5):
F40: = 210
F4: = F40.p / 180
FK:= 0.1 (14)
Given
XFk - XKk
+ FK.cos(F4)=0
YFk - YKk
+ FK.sin(F4)=0
solk:=Find(FK,F4)
(15)
Figure 5: The angle Fi40 and
FK values as a function of k
4.
CONCLUSIONS
The parallel structure system that
formed the basis of one of the most studied and well-known parallel robots is
the Gough platform from 1947.
The main advantages of parallel
robots: they have very high stability even in critical positions occupied even
during high-speed movement, so that the objects handled by them are always
safe; positioning accuracy is extremely high; at least two of the kinematic
chains allow the distribution of the load on them; the number of actuators is
minimal; the number of sensors required for closed-loop control of the machine
is minimal; if the actuators are locked, the parallel robot remains in the
position reached the moment when it was locked, i.e. it will become unbalanced,
or fall, or drop the manipulated object, as can happen with serial robots.
In the case of parallel robots,
drive systems with motors based on solid bodies (eg
piezo-alloy motors with memory) can also be built. These motors cannot be used
in the case of serial structures due to their low driving power. Passive
torques of parallel structures contribute to the miniaturization of the system.
Due to the high rigidity of the
parallel structures, the positioning accuracy, and repeatability increase. In
parallel robots, the errors in the components and in the couplings do not
accumulate as in the case of serial robots. Parallel structures have rather
compensatory characteristics that are advantageous in micro-assembly and
simplify the adjustment, command, and control system.
Due to the fact that the motors are
positioned on the frame, they can be separated from the working space of the
parallel structure. In this way, the power supply, power, and communication
cables can be easily insulated.
In the paper is synthesized the
inverse kinematics of a robot leg, which uses in its mechanical structure the
Stewart leg mechanism.
Inverse kinematic modeling is
generally the most sought after, as the most important, but in most situations,
it is also the most difficult to determine. In the presented paper, the
MathCad2000 software was used in order to facilitate the calculations, because
the software automatically solves the linear and nonlinear systems through its
internal procedures that must be called within the program.
As an important function, the "IfLog" logic function was used twice in the program to
initiate the calculations, by determining the input variables in the inverse
kinematics.
5.
ACKNOWLEDGEMENT
This
text was acknowledged and appreciated by Dr. Veturia CHIROIU Honorific member of Technical Sciences
Academy of Romania (ASTR)
PhD supervisor in Mechanical Engineering.
6.
FUNDING INFORMATION
a) 1-Research contract: 1-Research contract: Contract number 36-5-4D/1986 from 24IV1985, beneficiary CNST
RO (Romanian National
Center for Science and Technology) Improving dynamic mechanisms.
b) 2-Contract research integration. 19-91-3 from 29.03.1991; Beneficiary:
MIS; TOPIC: Research on designing mechanisms with bars, cams
and gears, with application in industrial robots.
c) 3-Contract research. GR 69/10.05.2007: NURC in 2762; theme 8: Dynamic analysis of mechanisms and manipulators with bars and gears.
d) 4-Labor contract, no. 35/22.01.2013, the
UPB, "Stand for reading
performance parameters of kinematics and dynamic mechanisms, using inductive and
incremental encoders, to a
Mitsubishi Mechatronic System"
"PN-II-IN-CI-2012-1-0389".
e) All these
matters are copyrighted! Copyrights: 394-qodGnhhtej, from
17-02-2010 13:42:18; 463-vpstuCGsiy, from 20-03-2010
12:45:30; 631-sqfsgqvutm, from 24-05-2010 16:15:22;
933-CrDztEfqow, from 07-01-2011 13:37:52.
7.
ETHICS
Authors
should address any ethical issues
that may arise after the publication of this manuscript.
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