A Novel Fuzzy Logic Based Controller to Adjust the Brightness of the Television Screen with Respect to Surrounding Light
One of the major cause of eye strain and other
problems caused while watching television is the relative illumination between the screen and its surrounding. This can be
overcome by adjusting the brightness of the screen with respect to the surrounding light. A controller based on fuzzy logic is proposed
in this paper. The fuzzy controller takes in the intensity of light
surrounding the screen and the present brightness of the screen as input. The output of the fuzzy controller is the grid voltage corresponding to the required brightness. This voltage is given to CRT and brightness is controller dynamically. For the given test system data, different de-fuzzifier methods have been implemented and the results are compared. In order to validate the effectiveness of
the proposed approach, a fuzzy controller has been designed by obtaining a test data from a real time system. The simulations are
performed in MATLAB and are verified with standard system data. The proposed approach can be implemented for real time
applications.
[1] Nikunja K. Swain, "A Survey of Application of Fuzzy Logic in Intelligent Transportation Systems (ITS) and Rural ITS"- Southeast Con, Proceedings of IEEE, 2006, pp 85-89.
[2] Dalal, S.; Satyanarayana, S. "Application of fuzzy logic to picture quality improvement in televisions", Digest of Technical Papers. ICCE,
IEEE, 8-10 Jun 1993 Page(s):346 - 347.
[3] Kher.S, Bajaj .P, "Fuzzy control of head-light intensity of automobiles:
design approach "proceedings of 37th SICE annual conference
international session papers, July 1988, pp 1047-1050.
[4] Kher, S.J.Bajaj, P.R.Sharma"A novel fuzzy control of headlight for
night driving", Intelligent vehicle symposium, proceedings of IEEE,
2000, pp-76-80.
[5] T.M. HusSain, T. Saadawi, S. Ahmed, "Overhead infrared sensor for
monitoring vehicular traffic," IEEE Ttrans. On vehicular Tech, vol. 42,
No. 4 pp.477-482, Nov 1993.
[6] Product News, "Lighting Intensity Dimmer System"(L1DS) by United Shenyan Intl Ltd.
[7] http://epsilon.nought.de/tutorials/fuzzy/fuzzy.pdf
[8] Lennart Ljung," An Introduction to Fuzzy Control", NHI, 1992.
[9] F. Martin Mcheill, Thro, Yager," Fuzzy Logic- A Practlcal Approach'*, A.P., 1994.
[10] Product News, "Automotive sensor to adjust the headlight for optimal
illumination," Honeywell.
[11] Das, S. and Bowles, B.A.,"Simulations of highway chaos using fuzzy
logic" 18th International Conference of the North American Fuzzy
Information Processing Society, 1999, pp. 130 -133.
[12] Peeta, S. and Yu, J.W. "Adaptability of a hybrid route choice model to
incorporating driver behavior dynamics under information provision" IEEE Transactions on Systems, Man and Cybernetics, Part A, 2004, pp. 243-256.
[1] Nikunja K. Swain, "A Survey of Application of Fuzzy Logic in Intelligent Transportation Systems (ITS) and Rural ITS"- Southeast Con, Proceedings of IEEE, 2006, pp 85-89.
[2] Dalal, S.; Satyanarayana, S. "Application of fuzzy logic to picture quality improvement in televisions", Digest of Technical Papers. ICCE,
IEEE, 8-10 Jun 1993 Page(s):346 - 347.
[3] Kher.S, Bajaj .P, "Fuzzy control of head-light intensity of automobiles:
design approach "proceedings of 37th SICE annual conference
international session papers, July 1988, pp 1047-1050.
[4] Kher, S.J.Bajaj, P.R.Sharma"A novel fuzzy control of headlight for
night driving", Intelligent vehicle symposium, proceedings of IEEE,
2000, pp-76-80.
[5] T.M. HusSain, T. Saadawi, S. Ahmed, "Overhead infrared sensor for
monitoring vehicular traffic," IEEE Ttrans. On vehicular Tech, vol. 42,
No. 4 pp.477-482, Nov 1993.
[6] Product News, "Lighting Intensity Dimmer System"(L1DS) by United Shenyan Intl Ltd.
[7] http://epsilon.nought.de/tutorials/fuzzy/fuzzy.pdf
[8] Lennart Ljung," An Introduction to Fuzzy Control", NHI, 1992.
[9] F. Martin Mcheill, Thro, Yager," Fuzzy Logic- A Practlcal Approach'*, A.P., 1994.
[10] Product News, "Automotive sensor to adjust the headlight for optimal
illumination," Honeywell.
[11] Das, S. and Bowles, B.A.,"Simulations of highway chaos using fuzzy
logic" 18th International Conference of the North American Fuzzy
Information Processing Society, 1999, pp. 130 -133.
[12] Peeta, S. and Yu, J.W. "Adaptability of a hybrid route choice model to
incorporating driver behavior dynamics under information provision" IEEE Transactions on Systems, Man and Cybernetics, Part A, 2004, pp. 243-256.
@article{"International Journal of Electrical, Electronic and Communication Sciences:59497", author = "A. V. Sai Balasubramanian and N. Ravi Shankar and S. Subbaraman and R. Rengaraj", title = "A Novel Fuzzy Logic Based Controller to Adjust the Brightness of the Television Screen with Respect to Surrounding Light", abstract = "One of the major cause of eye strain and other
problems caused while watching television is the relative illumination between the screen and its surrounding. This can be
overcome by adjusting the brightness of the screen with respect to the surrounding light. A controller based on fuzzy logic is proposed
in this paper. The fuzzy controller takes in the intensity of light
surrounding the screen and the present brightness of the screen as input. The output of the fuzzy controller is the grid voltage corresponding to the required brightness. This voltage is given to CRT and brightness is controller dynamically. For the given test system data, different de-fuzzifier methods have been implemented and the results are compared. In order to validate the effectiveness of
the proposed approach, a fuzzy controller has been designed by obtaining a test data from a real time system. The simulations are
performed in MATLAB and are verified with standard system data. The proposed approach can be implemented for real time
applications.", keywords = "Fuzzy controller, Grid voltage", volume = "2", number = "3", pages = "468-4", }