Publica
Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Automated optimization of nonimaging optics for luminaires
 Mazuray, L. ; Society of PhotoOptical Instrumentation Engineers SPIE, Bellingham/Wash.; European Optical Society EOS: Optical design and engineering II : 13  16 September 2005, Jena, Germany Bellingham/Wash.: SPIE, 2005 (SPIE Proceedings Series 5962) ISBN: 0819459801 pp.8795 
 Conference "Optical Design and Engineering" <2005, Jena> 

 English 
 Conference Paper 
 Fraunhofer IOF () 
 Edgeray principle; LED light source; nonimaging optic; nonsequential ray tracing; optimization algorithm 
Abstract
Specifics of nonimaging optical systems require special algorithms for automated optimization. We have implemented two methods into commercially available optical design software, which are robust and numerically effective. The first one is a modification of the edgeray principle. In this case the optimization criterion should be expressed in geometrical terms (like, for example, collimation of an extended light source). This gives us the possibility to design not only CPClike collimators, but also rather complex refractivereflective (RXIlike) devices. For the second (more general) case the optimization criterion is expressed in energetic terms. In this case stochastic behavior of the merit function due to MonteCarlo raytracing procedure limits the applicability of standard optimization routines available in optical design software. We have realized a direct optimization algorithm, which does not calculate the derivatives of the merit function leading to reduced sensitivity with respect to local statistical deviations. The proposed algorithm is deterministic and does not suffer from redundant trials of random search. As a parametric description for the objects to be optimized we propose the use of piecewise Bezier splines. This allows relative strong shape bending but requires control for intersections. A "redblue intersection reporting" algorithm is realized as a constraint for optimization.