The system sample data by ccd camera , process the data by dsp and harmonize the peripheral equipments by pc for sorting the impurity and displaying the cotton in the pipeline . the main algorithms of the system are sorting and coaching 该系统通过ccd摄像头采样,用dsp进行高速数据处理,通过工控机总体协调控制相应外围设备剔除不符合标准的杂质并实时显示管道中流动的棉花。
Considering the target function of the industry growing effect , we can draw the innovation system valuing model , which is solved by the pattern recognition method , including neurons networks , and heredity algorithm . after analyzing the innovation system samples , the thesis presents the judging model to recognize the samples character , and determines the importance order of all innovation sub indexes . consequently . it draws policy suggestions to improve the development of hebei ' s supporting industry 本文创新性的使用了模式识别方法(包括主成分分析、人工神经网络和遗传算法)来求解这一模型,通过对区域样本创新分量的统计分析,找出了样本处于优类区域的判据模型,从而确定了支柱产业产出效果处于最优区间的各创新分量的重要性顺序,由此给出了促进河北省支柱产业增长的配套政策建议。
Although dm can also solve the modulation time error , but the output waveforms can ’ t reach the industrial standard ( total harmonic distortion thd ) . considering this , a new control strategy called current optimal control ( coc ) is presented in paper . coc is that system samples the output value real time , comparing with expected value , considering all switching actions available then draw a concluding to decide which way would be fastest and best way to render system smooth 针对这一缺点,本文提出了一种更好的控制策略,电流最优delta调制,它是在电流滞环控制的基础上,根据电路的输出信号来分析,考虑所有可能的逆变器动作来决定选用哪一种开关转换方式能最快最平稳地达到预期值,采用的是一种电流预测控制手段,从而使输出波形的纹波最小。
Secondly , spfm ( sliding polynomial fitting method ) was discussed and the arithmetic has been compared with pfm ( polynomial fitting method ) . meanwhile , the model was corrected , and the parameters of arithmetic - - system sampling frequency , the length of sliding window and the exponent of fitting polynomial - - have been optimized 并在此基础上讨论了滑动窗多项式拟合预测算法( spfm ) ,对该算法与普通的多项式外推预测进行了比较,对模型进行了适应性修正,并对算法的参数:系统采样频率、滑动窗大小、拟合多项式指数进行了优化。