Robot Motorcycle Without The Driver, How Does It Work?

So far we know that motorcycle or bike ride can not stand alone or cannot run itself when no one is driving. We build bikes are upright will fall back to the right or left side if there is no holder. One of the conditions so that the bike can be balanced by the presence of the rider is pedaling or driving. But the world of research in the field of robotics has successfully created a prototype of a bicycle or motorcycle can stand upright in a State of silent or walking without any steering is referred to as Auto-Balanced Robotic Bicycle (ABRB).


Auto-Balanced Robotic Bicycle (ABRB), (Aamer Almujahed et al)

Basically, so that the bike can stand independently must have a 3 wheel or foot buffer in order not to fall. However this can be overcome so that the bike can stand on its own that is by looking at the nature of such  torque (torque), acceleration (acceleration), inertia (inertial), and eternity (conservation).  In general the bike in order to achieve a State of balance by giving the acceleration by means of rowed. However, Aamer Almujahed et al in 2009 successfully developed robot bike that can stand on its own wheels reaction (reaction wheel) as a counterbalance. This robot is capable of speeding bikes and also stop total without losing balance and will not fall laterally.


Bicycle’s mechanical frame design for ABRB, (Aamer Almujahed et al)

Then the robot bike can reach a State of balance with how to read input slope sensor (Gyroscope sensor). The slope of the signal from the sensor readings will be processed by the control unit (mikrokontroller) on a robot to deliver action on wheels rotate to give the reaction equilibrium. A gyroscope sensor able to read angular velocity very quickly, the input signal in the form of data errors from sensor to the control unit that integrates digitally capable of balancing robot position from time to time. To be able to offset the stable state of the robot was used from any errors between the tilt sensor gyroscope and the slope of the absolute (real) in the form of sensor inclinometer. Thus, the accuracy of the reading of the feedback signal (fault) in the control system is the key to successfully balance the ABRB.


Gyroscopic drift compensation, (Aamer Almujahed et al)

Control system on robot of this kind can use some conventional control systems as well as intelligent control system. In this they use ABRB robot system control PID (Proportional, Integral, and Derivative)[1]. While in Self Balancing Bicycle Robot With a Reaction Wheel by the year 2015, Kanjanawanishkul Kiattisin system used in the form of Linear Quadratic Regulator (LQR) and Linear Model Predictive Control (LMPC)[2]. Then on the research conducted by Yunki Kim et al in 2013, they designed the robot RWBR (Reaction Wheel Bicycle Robot) by using PID control systems but also as for the control of balance and stability, wheel controller stabilisation is designed using the system modeling algorithms to provide the shortest cycle on the system in order to be balanced[3]. So, basically some very effective control systems to control the system in order to be balanced. On the creation of the tool does all the control that is used, only used one control that is considered most effective.

Here’s a video demonstration of Auto-Balanced Robotic Bicycle (ABRB) by Aamer Almujahed et al


In the future this kind of expected research results can help in various areas of technology development. One of the developers of the technology and have applied this technology on a motorcycle was Honda Japan-owned company. The name of the hosts they were the result of motor Honda Unveils the Self-Balancing Motorcycle, where the motor is developed can balance themselves and can walk quietly followed the front side. The sensors used in Honda Unveils the Self-Balancing form of Motorcycle sensor gyroscope (slope).

Here’s a video demonstration of Honda Unveils the Self-Balancing Motorcycle,
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[1] Almujahed, a., et al. 2009. “Auto-Balanced Robotic Bicycle (ABRB)”. ECE-492/3 Senior Design Project
Spring (2009).

[2] Kanjanawanishkul, k. 2015. “The MPC and LQR controller design and comparison for a stationary self balancing bicycle robot with a reaction wheel”. Kybernetika, vol. 51 (2015), no. 1, 173 – 191.

[3] Kim, y., et al. 2013. “The Stable Control of the Bicycle Robot on a Curved Path by Using a Reaction Wheel”. Springer, the Journal of Mechanical Science and Technology 00 (2013).

[4] Vijayraghvan, s. 2017. “CES 2017: Honda Unveils the Self-Balancing Motorcycle”. (accessed November 7, 2017).


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