双闭环复合控制在轮胎硫化机中的应用

以硫化过程为研究对象,提出了一种分别控制扰动和系统参数变化的新型复合控制方法,并用遗传算法对控制参数进行了优化。通过对其在Matlab/Simulink中进行仿真,与模型参考自适应控制相比较,结果表明该控制方案具有更优良的鲁棒性和可靠性,控制方案简单且可实现在线整定,便于在轮胎企业推广应用。     

广义逆的计算与最小二乘估计

给出了某些广义逆的计算方法,将这些结果应用于观测系统的参数估计,给出了系统无加权和加权最小二乘的最新估计结果,推广了[1]的工作,同时简化了[2]中求多个相容矩阵方程公共解的算法。     

基于FPGA的分布式算法FIR滤波器设计

FIR滤波器具有许多优点,是数字信号处理系统中基本的元件。本文比较了目前FIR滤波器硬件实现的几种方法,详细研究了基于FPGA、采用分布式算法实现FIR滤波器的原理和方法,设计了一个32阶线性相位FIR滤波器,并用VHDL语言对其进行了描述。此滤波器采用串行加法器将数据进行预相加,从而将滤波器的规模减半。其主要部分——乘累加单元,采用LUT查找表结构,将乘法运算转换为查表操作,提升处理速度。最后进行了硬件仿真,结果证明,这一方法是可行且高效的。     

改进蚁群优化算法在配电网网架规划中的应用

从转移概率和信息素的动态更新机制两方面对传统蚁群算法进行了改进。转移概率设计中采用2个参数的联动控制,实现了Dorigo和Maniezzo的设想。信息素动态更新机制使信息素权重随迭代次数增加而改变,实现了对整个可行域的搜索全面而迅速,弥补了传统蚁群算法训练效率低下和易陷入局部极小的不足。配电网优化的结果表明该算法的有效性。     

Gaussian process assisted coevolutionary estimation of distribution algorithm for computationally expensive problems

In order to reduce the computation of complex problems, a new surrogate-assisted estimation of distribution algorithm with Gaussian process was proposed. Coevolution was used in dual populations which evolved in parallel. The search space was projected into multiple subspaces and searched by sub-populations. Also, the whole space was exploited by the other population which exchanges information with the sub-populations. In order to make the evolutionary course efficient, multivariate Gaussian model and Gaussian mixture model were used in both populations separately to estimate the distribution of individuals and reproduce new generations. For the surrogate model, Gaussian process was combined with the algorithm which predicted variance of the predictions. The results on six benchmark functions show that the new algorithm performs better than other surrogate-model based algorithms and the computation complexity is only 10% of the original estimation of distribution algorithm.     

基于PRONY模型的谐波检测

信号的去噪问题一直是信号检测的一大难题,而要检测的信号往往却存在不同的随机噪声。在分析周期信号的基础上,提出了一种基于PRONY模型的周期信号分析法。经过对周期短(窄)脉冲信号的实验,这种直接构造的PRONY算法在周期信号中能达到有效、准确的分析结果。     

基于压电驱动的微振动主动减振控制系统研究

本文以压电陶瓷促动器构建并联六自由度减振平台,采用NI Compact-RIO实时控制系统和Fx-LMS自适应控制算法进行振动主动控制,对次级通道辨识方法和主动控制算法进行了模拟仿真,并搭建主动减振控制系统进行实验验证。仿真与实验结果表明,设计的主动减振控制系统对于7~50 Hz范围内的低频微振动有很好的控制效果。     

A new TDOA algorithm based on Taylor series expansion in cellular networks

Time difference of arrival (TDOA) is the positioning technique with the most potential in cellular mobile telecommunication systems. The Taylor series expansion method has been widely used in solving nonlinear equations for its high accuracy and good robustness. However, the performance of the Taylor’s method depends highly on the initial estimation. Therefore, one new algorithm, hybrid optimizing algorithm (HOA) was proposed, which combines the Taylor series expansion method with the steepest decent method. The steepest decent method features fast convergence at the initial iteration and small computation complexity. HOA takes great advantage of both methods. Simulation results show that HOA achieves better performance on positioning accuracy and efficiency. __________ Translated from Journal on Communications, 2007, 28(6): 7–11 [译自: 通信学报]     

基于三点工况下的无源滤波器组优化设计

无源滤波器组的参数设计通常均针对系统单一工况(通常为最大工况)进行。当系统运行在其他工况时,有可能无论退出哪一组滤波器的运行均无法同时满足系统的无功补偿和谐波治理要求。为此基于系统的3种典型工况(最大、平均和最小工况)对无源滤波器组进行优化设计,确定合理参数,以在最小的投资费用下达到谐波治理与无功补偿的最优匹配。算例结果验证了该方法的可行性。     

基于灰色预测的多变量自适应PID控制器

针对汽轮发电机组具有多变量、强耦合、大时滞等特点,提出一种基于灰色预测的多变量自适应PSD控制算法。该方案通过一组灰色系统预测模型GM（1,N）对多变量系统的输出预测实现对角解耦。采用无辨识智能自适应PSD控制算法优化PID控制器的参数,用优化后的PID控制器对每个子系统进行控制。该方案不需要精确的数学模型,在线估计参数少,计算简单。仿真结果表明,与其他方法相比,这种控制方法响应速度更快,而且具有更好的自适应性和鲁棒性。