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Digitalization and development of a torque sensor based control system and implementation of the algorithm using a micro-controller

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dc.contributor.advisor Azad, Dr. AKM Abdul Malek Shantonu, Omar Shahjalal Shafiq, Afia Abeeda Hassan, Raziul Ahmed, Md. Safayet 2017-05-18T13:54:14Z 2017-05-18T13:54:14Z 2016 2016
dc.identifier.other ID 13321034
dc.identifier.other ID 13121074
dc.identifier.other ID 12221049
dc.identifier.other ID 12221088
dc.description This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2016. en_US
dc.description Cataloged from PDF version of thesis.
dc.description Includes bibliographical references (page 98-100).
dc.description.abstract Mechanical vehicles are a part of our daily lives. Some of them are driven by electrical power whilst others are driven manually by effort of the driver through pedaling the vehicle. Given that the majority of the population of the world is still under poverty, the dependency of people have on manually driven vehicles is more, as they are both cheaper to own and maintain. However, continuous utilization of man-driven vehicles like, rickshaws, vans and wheelchairs, can have strenuous effect on the rider. Our aim for the project is to reduce this human effort by assisting the rider with an electrical input when the load on the vehicle becomes high. Thus, we developed an intelligent control system, with the help of a micro controller, which would work in conjunction with a Torque sensor to run a motor during some per-defined conditions. This makes the operation of manually-driven vehicles easier by assisting the rider, when necessary, with power from a motor. This enables us to change the manually driven vehicle into a hybrid vehicle. The inclusion of the micro-controller is to make the final circuitry simpler and easier to operate. In this circuit design the user can simply replace the chip, instead of changing the entire circuitry as in the former analog circuit, when any wear and tear takes place. The on circuit micro-controller has a pre installed algorithm which controls the overall decision making of the system. It automatically switches the motor both on and off based on the pre-installed threshold and cutoff voltage values. Our objective is to reduce the riders from the excessive physical exhaustion that mainly occurs when a high load is present on the vehicle or while initiating the momentum from either rest or low speed to generate a moderate speed. A motor helping the pullers/users only during these phases eradicates exhaustion to a significant level, and at the same time saves energy by limiting the over-use of the motor. Therefore, the digital circuit enables us to significantly reduce the human effort needed whilst keeping the identity and driving mechanism of the existing manually driven vehicles. Our developed algorithm and the designed digital circuitry with the micro-controller are usable with all the existing manually driven vehicles that involve pedaling. In our project, we have implemented it in an electrically assisted wheelchair for physically disabled people. en_US
dc.description.statementofresponsibility Omar Shahjalal Shantonu
dc.description.statementofresponsibility Afia Abeeda Shafiq
dc.description.statementofresponsibility Raziul Hassan
dc.description.statementofresponsibility Md. Safayet Ahmed
dc.format.extent 127 pages
dc.language.iso en en_US
dc.publisher BRAC University en_US
dc.rights BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Torque sensor en_US
dc.subject Algorithm en_US
dc.subject Micro-controller en_US
dc.title Digitalization and development of a torque sensor based control system and implementation of the algorithm using a micro-controller en_US
dc.type Thesis en_US
dc.contributor.department Department of Electrical and Electronic Engineering, BRAC University B. Electrical and Electronic Engineering

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