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Automated optimization of non-imaging optics for luminaires

机译:照明设备非成像光学元件的自动优化

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Specifics of non-imaging 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 edge-ray 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 CPC-like collimators, but also rather complex refractive-reflective (RXI-like) 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 Monte-Carlo ray-tracing 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 "red-blue intersection reporting" algorithm is realized as a constraint for optimization.
机译:非成像光学系统的细节要求使用特殊算法进行自动优化。我们已经在市售的光学设计软件中实现了两种方法,这些方法既健壮又有效。第一个是对边缘射线原理的修改。在这种情况下,优化标准应以几何形式表示(例如,扩展光源的准直)。这使我们不仅可以设计类似CPC的准直器,还可以设计复杂的折射反射(RXI样)设备。对于第二种(更一般的)情况,优化标准以高能术语表示。在这种情况下,由于蒙特卡洛光线追踪程序而导致的优值函数的随机行为限制了光学设计软件中可用的标准优化例程的适用性。我们已经实现了直接优化算法,该算法不计算优值函数的导数,从而导致相对于局部统计偏差的灵敏度降低。所提出的算法是确定性的,不会遭受随机搜索的重复试验。作为要优化对象的参数描述,我们建议使用分段贝塞尔曲线样条曲线。这允许相对较强的形状弯曲,但需要控制交点。实现“红蓝相交报告”算法作为优化的约束。

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