基于改进H∞算法的线控转向系统仿真研究

针对汽车线控转向系统的鲁棒性问题,对汽车线控转向的原理和结构方面进行了研究;对汽车线控转向的动力学模型进行了建立以及简化;对汽车线控转向控制系统进行了分析与设计。以H∞运算为基础,利用反求法,避开了加权函数的选择,通过观察H∞运算中S/T奇异值曲线,运用符合线控转向鲁棒性能要求的预期S/T曲线逆转了该闭环系统,构建出了闭环传递函数,提出了一种基于改进H∞算法的线控转向系统。通过对线控转向系统的时间域和频率域的分析,以及线控转向系统模型干涉和参数扰动下的仿真结果分析,验证了改进H∞算法的控制策略的准确性。研究结果表明,基于改进H∞算法的线控转向系统在保证了鲁棒稳定性的前提下,具有更好的响应性能;并且改进的控制器比传统的控制器具有更好的鲁棒性。

Fast Motion Estimation Algorithm with Edge Alignment for H.264 Encoder

Image sequences processing and video encoding are extremely time consuming problems. The time complexity of them depends on image contents. This paper presents an estimation of a block motion method for video coding with edge alignment. This method uses blocks of size 4 × 4 and its basic idea is to find motion vector using the edge position in each video coding block. The method finds the motion vectors more accurately and faster than any known classical method that calculates all the possibilities. Our presented algorithm is compared with known classical algorithms using the evaluation function of the peak signal-to-noise ratio. For comparison of the methods we are using parameters such as time, CPU usage, and size of compressed data. The comparison is made on benchmark data in color format YUV. Results of our proposed method are comparable and in some cases better than results of standard classical algorithms.