Application of fuzzy control method in a tunnel lighting system
β Scribed by Chao Yang; Shijuan Fan; Zhiwei Wang; Wei Li
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 428 KB
- Volume
- 54
- Category
- Article
- ISSN
- 0895-7177
No coin nor oath required. For personal study only.
β¦ Synopsis
In order to meet the requirements of driving safety and energy-saving of lighting in tunnel, a fuzzy control method is adopted to design the tunnel lighting control system. A fuzzy control model for the tunnel lighting control system is established with tunnel exterior environment luminance, traffic volume and vehicle speed information as inputs and tunnel interior light luminance as output. Membership functions of environmental parameters and fuzzy control rules are designed based on ''Specifications for the Design of Ventilation and Lighting of Highway Tunnels (China)'' and experts' relevant experiences. The tunnel exterior environment luminance fit-curve and the tunnel interior luminance fitcurve are constructed by experimental data with the fuzzy control model on sunny days. Errors between theoretical luminance data and simulation luminance data with the fuzzy control model are less than 5 %. Comparison between luminance data from fit-curves and luminance data from original curves (no light-tuning or class light-tuning) shows that the fuzzy control system has a notable energy-saving effect (saving more than 50 % energy to no light-tuning and more than 20 % to four-steps light-tuning), and nice adaptability.
π SIMILAR VOLUMES
In this paper, a systematic procedure is presented to analyze and design a stable fuzzy controller for a class of nonlinear systems. Based on the Lyapunov's directive method, we account for the relationship between the stability of the control system and the I/O sets of the fuzzy controller. First,
A new method of designing a controller, based on a vague kind of information and using fuzzy set theory, shows promising results in a case study. Seminary--In many cases a human operator is far more successful in controlling a complex industrial process than a controller designed by modern control
Optimal power flow calculation, used to optimize specific aspects of power systems operations, usually employs standard mathematical programming techniques. These techniques are not suitable to handle many practical considerations encountered in power systems, including the uncertainty of the operat