摘要
在基于CAN总线的标量控制系统中引入动态量化算法,可以有效降低总线负载,但是也会引入量化误差。在受有界噪声影响下的标量控制系统中,其量化误差不能收敛到0。文章通过分析得知量化噪声可以降低有界噪声的影响。基于此,首先提出了噪声标志位算法,随后分析了单比特噪声标志位算法的性能,最后给出了最优比特分配方案来获得更低的量化误差。
The introduction of dynamic quantization policies into the scalar control system based on CAN bus can effectively reduce the bus load, and introduce quantization error as well. The quantization error can not converge to O in the scalar control system under the disturbance of bounded noise. Through analysis this paper shows that quantizing noise can reduce the negative effect of bounded noise. Based on this, the noise flag algorithm is proposed first. And then, the performance of noise flag algorithm in single-bit case is analyzed. At last, the optimal bit allocation policy is given to obtain the lower quantization error.
出处
《电子技术(上海)》
2012年第9期21-25,共5页
Electronic Technology
关键词
动态量化算法
有界噪声
噪声标志位算法
最优比特分配方案
dynamic quantization policies
bounded noise
noise flag algorithm
optimal bit allocation policies