An optoelectronic system for controlling a direct current motor. PART 2: SOFTWARE
Zenon Syroka
UWMAbstract
The software for an optoelectronic system for controlling a direct current (DC) motor is presented in Part 2 of the article. The structure of the designed control system was described in Part 1. The developed system processes data received from an infrared transmitter. The project was upgraded in successive stages of development, and it ultimately evolved into a small computer with a motor controller. The designed system automatically adjusts the motor’s rotation and speed. The user is tasked only with conveying operational commands. The entire system is based on a single microcontroller.
The designed optoelectronic system receives user commands (the program can be modified to support free-space optical communication networks conforming to all communication standards). The system activates the motor, counts the number of rotations and adjusts the motor’s position.
The designed system operates on the following principle: the user sends commands to the motor via a remote control with an infrared diode. The keys on the remote control have been programmed with different commands. The transmitted data are processed by the system which activates the motor and sets the desired motor speed. The task is completed, and the system is ready to process the next command. If the number of rotations differs from the preset value, the motor’s position is adjusted. If the physical position of the rotor axis is altered, the system corrects the offset to the last programmed position. The designed system can be easily adapted to various types of motors and IR controllers.
Keywords:
digital control, motor controller, electric and hybrid vehicles, microcontrollerReferences
ALI E., KHALIGH A., NIE Z., LEE Y.J. 2009. Integrated Power Electronic Converters and Digital Control. CRC Press, Boca Raton. Google Scholar
BOLTON W. 2006. Programmable Logic Controllers. Elsevier, Amsterdam, Boston. Google Scholar
BUSO S., MATTAVELLI P. 2006. Digital Control in Power Electronics. Morgan & Claypool Publisher, San Rafael. Google Scholar
CHEN C.-T. 1991. Analog and Digital Control system Design: Transfer Function, State Space, and Algebraic Methods. Saunders College Publishing, Filadelfia. Google Scholar
DENTON T. 2016. Electric and Hybrid Vehicles. Routledge, San Diego. Google Scholar
DORF R.C., BISHOP R.H. 2008. Modern Control System Solution Manual. Prentice Hall, New Jersey. Google Scholar
FADALI S. 2009. Digital Control Engineering, Analysis and Design. Elsevier, Burlington. Google Scholar
FEUER A., GOODWIN G.C. 1996. Sampling In Digital Signal Processing and Control. Brikhauser, Boston. Google Scholar
GABOR R., KOWOL M., KOŁODZIEJ J., KMIECIK S., MYNAREK P. 2019. Switchable reluctance motor, especially for the bicycle. Patent No 231882. Google Scholar
GREGORY P. 2006. Starr Introduction to Applied Digital Control. Gregory P. Starr, New Mexico. Google Scholar
GLINKA T., FRĘCHOWICZ A. 2007. Brushless DC motor speed control system. Patent No.P195447. Google Scholar
HUSAIN I. 2003. Electric and Hybrid Vehicles, Design Fundamentals. CRC Press LLC, Boca Raton, London. Google Scholar
JONGSEONG J., WONTAE J. 2019. Method of controlling constant current of brushless dc motor and controller of brushless dc motor using the same. United States Patent Application Publication, US2018323736 (A1). Google Scholar
KHAJEPOUR A., FALLAH S., GOODARZI A. 2014. Electric and Hybrid Vehicles Technologies, Modeling and Control: a Mechatronic Approach. John Wiley & Sons, Chichester. Google Scholar
KOLANO K. 2020. Method for measuring the angular position of the shaft of a brushless DC motor with shaft position sensors. Patent No.P235653. Google Scholar
KOJIMA N., ANNAKA T. 2019. Motor control apparatus and motor unit. United States Patent Application Publication, US2019047517 (A1). Google Scholar
LANDAU I.D., Zito G. 2006. Digital Control Systems Design, Identification and Implementation. Springer, London. Google Scholar
LUECKE J. 2005. Analog and Digital Circuits for Electronic Control System Applications Using the TI MSP430 Microcontroller. Elsvier, Amsterdam, Boston. Google Scholar
MI CH., MASRUR M.A., GAO D.W. 2011. Hybrid Electric Vehicles Principles and Applications with Practical Perspectives. John Wiley & Sons, Chichester. Google Scholar
MOUDGALYA K.M. 2007. Digital Control. John Wiley & Sons, Chichester. Google Scholar
MURRAY R.M., LI Z., SHANKAR SASTRY S. 1994. A Mathematical Introduction to Robotic Manipulation. CRC Press, Berkeley. Google Scholar
OGATA K. 1995. Discrete Time Control Systems. Prentice-Hall, New Jersey. Google Scholar
PISTOIA G. 2010. Electric and Hybrid Vehicles Power Sources, Models, Sustainability, Infrastructure and the Market. Elsevier, Amsterdam, Boston. Google Scholar
SIKORA A., ZIELONKA A. 2011. Power supply system for a BLDC motor. Patent No. P.394971. Google Scholar
SOYLU S. 2011. Electric Vehicles – the Benefits and Barriers. Edited by Seref Soylu, Rijeka. Google Scholar
STEVIĆ Z. 2013. New Generation of Electric Yehicles. Edited by Zoran Stević, Rijeka. Google Scholar
SYROKA Z.W., JAKOCIUK D. 2020. Battery recharging system in electric vehicle. Patent No. P431380, filing date: 17 January 2020. Google Scholar
SYROKA Z.W. 2019. Electric Vehicels – Digital Control. Scholars’ Press, Mauritius. Google Scholar
SYROKA Z.W., MERCHEL D. 2021. Optoelectronic control system for an alternating current motor. Patent decision of 5 February 2021; patent No. PL 236459. Google Scholar
ŚLUSAREK B. , PRZYBYLSKI M., GAWRYŚ P. 2014. Hall effect sensor of the shaft position of the brushless DC motor. Patent No.P218476. Google Scholar
WILLIAMSON S.S. 2013. Energy Management Strategies for Electric and Plug-in Hybrid Electric Vehicles. Springer, New York, London. Google Scholar
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