Drone Hack |
Introduction
Drones have evolved over the years and become
perfect flying machines. why are drones designed the way they are today? why
are they so efficient at moving so swiftly? In this article we'll learn about the
drone’s mechanical design aspects along with its electronics controller sensors
intelligent algorithms and even satellite technology so let's start a design
journey starting with a permitted drone and moving on to the most modern drone.
Evolution of Drones
Let’s start with the simplest droned single
propeller design one propeller drones provide enough lift force to keep the
drone hovering in the air but there is no way to control this drone. All it can
do is go vertical and come down. Another issue is that this drone's body will
keep rotating opposite to the propeller which is a consequence of newton’s
third law of motion. You can see the motor stator supplies the necessary torque
to the rotor part according to the third law. This means that the rotor should
give an equal amount of torque back on the stator. since the stator is fixed to
the drone body this reaction torque will give the drone an undesirable spin. so
why not use two propellers? This is certainly a possibility and a company
called zero robotics has made a serious attempt to develop such a drone. The
fewer the number of propellers the less energy the drone will consume and the
longer it can stay in the air. However, the main issue is that manipulating the
drone to fly at high speeds and take sharp quick turns requires a higher degree
of control accuracy and stability. let’s hope that with the advancements In Control
algorithms two propeller drones will achieve a good stability. one day you can
see that the blades of two propeller designs rotate in the opposite direction. This
way the motor's reaction torque gets cancelled and the undesirable body spin can
be avoided. Three propeller designs are very rarely used. The main issue with
these types of drones are the motor's reaction torque and gyroscopic precision.
These issues create unnecessary complications in the design and algorithms in
the next variation the four propeller drones or quadcopters usually have an h-shape
or an x-shape. Now let's see how the quadcopters do the manoeuvres by
understanding the interesting force dynamics of them to achieve hovering the
operator has to just make sure that the weight of the drone is exactly balanced
by the thrust produced by the propellers. You can see the beautiful air foil shape
the propellers utilize to generate lift force to achieve forward motion. The
front propeller speed is slowed down while the rear propellers speed up. This
will cause the pitch motion. Now let's make all the force values the same by
making the propeller speeds the same. Here suppose you have balanced the vertical
component of the resultant propeller forces with the weight of the drone even
after this there is an unbalanced horizontal force which will make the drone
move forward. A similar technique is used to enforce a drone's roll movement
put simply this movement is carried out by creating imbalanced lift force in
the left and right pairs of propellers a quadcopter's yaw motion is achieved in
a unique way. In the beginning of this ARTICLE we learned about the motor's reaction
torque and its effect on the drone to avoid such undesirable spin in quadcopter
drones. One diagonal pair is spun opposite to the other pair. This technique
cancels the reaction torque completely. However, if you want to yaw the drone
or spin it all you have to do is make sure that these reactions torque are not getting
cancelled which you can easily achieve by reducing the speed of the one diagonal
pair. The reaction torque is proportional to the propeller speed. Eventually a
net reaction torque will occur and the drone can achieve the motion. Obviously,
the quadcopter drones are the most stable with the ability to move at high
speed. Sand take sharp turns swiftly they are used in almost every industry.
The Brain of The Drone
Now let's get into. Suppose a drone is hit by a
sudden gust of wind. The operator has to control and read just each propeller
speeds and rotation direction in less than a second. Otherwise the drone may
crash. This situation is difficult for a person to control by hand. These kinds
of scenarios are where the most important part of the drone comes to the rescue.
The flight controller can be thought of as a tiny intelligent pilot sitting inside
and navigating the drone through any difficult situations. It enables the
operator to use simple controls like up forward yaw etc. making the drone
operation as simple as a video game. To achieve this, result the flight controller
obviously needs a lot of input signals from various sensors.
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To achieve acceleration in all three directions we
will require a three-axis accelerometer. When we include gyroscopes also in the
unit along with the force values we can measure the rotations in different planes.
A mems-based barometer sensor is used to determine the drone's altitude. Now
the flight controller or processor should make the right use of all the signals.
These sensors collect to make correct decisions. However, before going into the
process or piece how can we make sure that the signals sensors produce are
accurate enough. Noise for instance can affect a sensor's accuracy. Some
reasons for noise are defects interference by the mechanical vibrations of the
drone propellers and magnetic interference. Modern drones use a technique
called sensor fusion to overcome this issue. For example, a GPS sensor along with the
IMU can provide a basic altitude information of this drone. However, we can
make this measurement super accurate if we integrate radar technology. Also, into
this is sensor fusion different sensors working together to produce more accurate
measurements. With these accurate signals we can get into the decision-making
part of the drone. The control system part which includes the control logic. The
control logic is the algorithm that reduces the error further and makes
decisions. One such algorithm is the KALMAN FILTER. The KF algorithm reads the
past and present data to know the state of the drone and utilizes its logic for
GPS navigation. Driving back home and any other such cases or in this case
stabilizing the drone. After the disastrous effect of winds eventually the same
KF algorithm fed in the processor having logic gates and transistors etc. Make
smart decisions to control speeds of BLDC motors. Yes just by controlling the
speeds of the four BLDC motors in a smart way the quadcopter drone can face any
challenging environment. Currently a company called DJI is one of the leading
companies in the consumer drone market. They use advanced flight control algorithms
dual IMUs for more reliability and vibration dampening systems to reduce errors
in sensor output. Sophisticated algorithms are one of their keys to success. On
the other hand, compared to DJI companies like parrot autel and unique don't
have as much marketing consumer.
UAV drones these drones lack there finement and
fitness you get with DJI's drone. we already saw how the smart control of the BLDC
motors by the Kalman filter algorithm ensures the drone a stable and happy
flight. Power required by these BLDC motors electronic circuits antennas and
sensors are supplied by a lithium ion battery. The drone receives the control
signal from the user using the common radio frequency technology. The range of communication
can be between one to two kilometres. For a consumer drone now, an interesting
question what if the drone accidentally travels out of this communication range
to get the missing drone back. Modern drones make use of GPS and tower-based internet
technology together. The operator has already set the home location when
starting the drone with the help of GPS. This way the lost drone can safely get
back to its home location.
We hope you enjoyed decoding the complete drone
working systems.
THANK YOU
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