RESEARCH PAPER
Washing Machine Controller with a New Programming Method
1
Poznan University of Technology, ul. Piotrowo 3, 60-965 Poznań, Poland
Submission date: 2016-10-10
Acceptance date: 2017-12-11
Online publication date: 2017-12-30
Publication date: 2017-12-01
Acta Mechanica et Automatica 2017;11(4):328-332
KEYWORDS
ABSTRACT
In the paper the newly designed at Poznan University of Technology (PUT) washing machine controller is presented. The commonly used in washing machines sensors, drives and other input-output elements are briefly described. The designed at PUT controller is based on 32-bit STM32 microcontroller. The used in this controller modules are described and their input/output signals and basics of operations are presented. The developed in the controller user-machine communication devices, elements and methods are described. The paper presents new washing machine programming methods and implementation software, such as voice recognition and intelligent programming of washing machine that were applied in the new controller.
REFERENCES (14)
1.
Anusuya M.A., Katti S.K. (2010), Speech recognition by machine, a review, ArXiv Prep,. ArXiv10012267.
2.
Bascetta L., Rocco P., Zanchettin A.M., Magnani G. (2012), Velocity control of a washing machine: A mechatronic approach, Mechatronics, 22, 778–787.
3.
Bourgeois J., van der Linden J., Kortuem G., Price B.A., Rimmer C. (2014), Conversations with my washing machine: an in-the-wild study of demand shifting with self-generated energy, ACM Press, 459–470.
5.
Chahuara P., Portet F., Vacher M. (2017), Context-aware decision making under uncertainty for voice-based control of smart home, Expert Syst. Appl., 75, 63-79.
6.
Gundogdu K., Bayrakdar S., Yucedag I. (2017), Developing and modeling of voice control system for prosthetic robot arm in medical systems, J. King Saud Univ. - Comput. Inf. Sci.
7.
Mallikarjun S. (2006), 32-bit MCUs offer high integration, high functionality, Electron. Prod., 49, 40–43.
8.
Milecki A., Pittner G. (2015), Design of 32-bit washing machine controller, Solid State Phenomena, 220-221, 463–469.
9.
Neto P., Pires J.N., Moreira A. (2010), High-level programming and control for industrial robotics: Using a hand-held accelerometer-based input device for gesture and posture recognition, Ind. Robot Int. J., 37, 137–147.
10.
Norberto Pires J. (2005), Robot-by-voice: Experiments on commanding an industrial robot using the human voice, Ind. Robot Int. J., 32, 505–511.
11.
Portet F., Vacher M., Golanski C., Roux C., Meillon B. (2013), Design and evaluation of a smart home voice interface for the elderly: acceptability and objection aspects, Pers. Ubiquitous Comput., 17, 127–144.
12.
Risteska Stojkoska B.L., Trivodaliev K.V. (2017), A review of Internet of Things for smart home: Challenges and solutions, J. Clean. Prod., 140, 1454–1464.
13.
Tsarouchi P., Athanasatos A., Makris S., Chatzigeorgiou X., Chryssolouris G. (2016a), High level robot programming using body and hand gestures, Procedia CIRP, 55, 1–5.
14.
Tsarouchi P., Makris S., Chryssolouris G. (2016b), Human robot interaction review and challenges on task planning and programming, Int. J. Comput. Integr. Manuf., 29, 916–931.
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| eISSN: | 2300-5319 |
| ISSN: | 1898-4088 |
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