基于改进等效电流量测变换的状态估计算法

介绍了基于等效电流量测变换的状态估计算法,并在此基础上提出了一种改进算法.应用抗差估计的理论构造了一组权函数,在每次迭代的过程中对权重不断修改,从而达到提高估计精度的目的.Matlab仿真实验结果表明,估计精度得到了提高.     

Robust Near-Hovering Flight Controller for Model-Scale Helicopters Via Parametric Approach

This paper aims to provide a parametric design for robust flight controller of the model-scale helicopter. The main contributions lie in two aspects. Firstly, under near-hovering condition, a procedure is presented for simplification of the highly nonlinear and under-actuated model of the model-scale helicopter. This nonlinear system is linearized around the trim values of the chosen flight mode, followed by decomposing this high-order linear model into three lower-order subsystems according to the coupling properties among channels. After decomposition, the three subsystems are obtained which include the coupling subsystem between the roll (pitch) motion and the lateral (longitudinal) motion, the subsystem of the yaw motion and the subsystem of the vertical motion. Secondly, by using eigenstructure assignment, the problem of flight controller design can be converted into solving two optimization problems and the linear robust controllers of these subsystems are designed through solving these optimization problems. Besides, this paper contrasts and analyzed the performances of the LQR controller and the parametric controller. The results demonstrate the effectiveness and the robustness against the parametric perturbations of the parametric controller.     

改进的粒子群优化算法下的MIMO雷达稳健波束形成

在进行阵列自适应波束形成时,由于阵元导向矢量失配现象的存在,严重影响了常规最优波束形成的性能。考虑阵元的导向矢量误差,运用改进的粒子群优化算法对阵元的导向矢量进行纠正,使其误差达到最小,得到了一种适用于多输入多输出雷达的新的稳健波束形成方法。与现有的应用于MIMO雷达的稳健波束形成方法相比,在导向矢量误差较大或者误差随机变化的情况下新方法具有更高的输出信号干噪比,且其性能一直保持了较高的稳定性。数值仿真结果验证了新方法相比已有算法具有更好的鲁棒性和更高的输出性能。     

不确定单机无穷大系统的预测变结构控制

将不确定单机无穷大系统的非线性三阶模型转换成二阶模型,以便在相平面中直观地设计变结构控制律。使用系统不确定参数的上下限来设计控制律,以获得良好的鲁棒性。通过预测相轨线的走势确定控制切换时机,保证了系统轨迹以指数速率收敛到平衡点。由于控制律的切换不是连续的,因此避免了传统变结构控制中的抖振。在仿真时,系统的初始状态较大地偏离了平衡点,在仿真过程中,机械功率遭受了30%的临时干扰,仿真结果表明,系统轨迹能够快速地回到原来的平衡点,控制律具有很好的鲁棒性。     

Optimal paths planning in dynamic transportation networks with random link travel times

A theoretical study was conducted on finding optimal paths in transportation networks where link travel times were stochastic and time-dependent（STD）. The methodology of relative robust optimization was applied as measures for comparing time-varying, random path travel times for a priori optimization. In accordance with the situation in real world, a stochastic consistent condition was provided for the STD networks and under this condition, a mathematical proof was given that the STD robust optimal path problem can be simplified into a minimum problem in specific time-dependent networks. A label setting algorithm was designed and tested to find travelers＇ robust optimal path in a sampled STD network with computation complexity of O（n2＋n·m）. The validity of the robust approach and the designed algorithm were confirmed in the computational tests. Compared with conventional probability approach, the proposed approach is simple and efficient, and also has a good application prospect in navigation system.     

改进型特征权重自调节K-均值聚类算法

针对特征权重自调节K-均值聚类(FWSA-KM)算法对噪声敏感的问题,提出一种改进型特征权重自调节K-均值聚类(IFWSA-KM)算法。用一种非欧氏距离代替FWSA-KM算法中的欧氏距离,以增加聚类算法的抗噪声性能。通过用人工数据和真实数据的对比性实验,可验证IFWSA-KM算法的有效性。     

具有多重状态时滞与控制时滞的广义系统非脆弱保代价控制

针对一类不确定多时滞广义系统,该多时滞广义系统同时具有状态和控制时滞。假设不确定范数是有界的,且系统的状态是完全可测的,通过引进二次稳定性的概念,结合线性矩阵不等式的设计方法,给出了鲁棒非脆弱保代价控制的充分条件。通过对线性矩阵不等式的求解,可得非脆弱状态反馈鲁棒保代价控制器。该控制器对所有容许的不确定性,能保证闭环广义系统的稳定性,而且也能满足二次型代价函数的上界。最后,通过算例仿真表明所提出结论的可行性和有效性。     

考虑风电接入的电力系统鲁棒经济优化调度

鉴于风力发电具有很强的随机性和波动性,含风电调度系统中,应用传统预测区间来描述其不确定性的方法存在缺陷。针对该问题,通过引入弃风限制对风电场的风电出力预测区间进行优化,得到能够保证调度系统安全运行的风电安全出力区间;在此基础上,建立双层鲁棒区间优化调度模型,使得常规机组的运行成本和风电场的弃风成本最小,并分析了系统爬坡备用对风电安全出力区间的影响。由于考虑了常规机组的阀点效应,模型呈现非线性特点,采用改进的教与学优化算法和线性规划法相结合的求解方法对模型进行求解。最后,采用改进的10机系统验证了所提模型以及求解方法的有效性和优越性。     

基于代理模型的板料成形优化技术进展

综述了板料成形优化技术现状,针对优化中计算成本高的问题,提出了基于代理模型的优化技术,包括可立格模型、响应面模型、神经网络模型等。从实验设计、代理模型的建立,以及优化求解等方面进行了阐述。针对产品设计中因素的随机性和不确定性,为减小目标函数对设计变量的敏感性,将稳健设计理论应用于板料成形优化中,以提高产品的可靠性和稳健性。     

Global robust output tracking control for a class of cascade nonlinear systems with unknown control directions

We investigate the global robust tracking problem via output feedback for a class of cascade nonlinear systems with dynamic uncertainties and non-vanishing disturbances. It does not require a priori knowledge of the sign of the high-frequency gain. A recursive design scheme is presented using the ideas of pseudosign function, Nussbaum-type gain technique and the deadzone method. It is shown that under some conditions, the tracking error can be guaranteed asymptotic to the interval [?ε, ε]?? with arbitrary prescribed ε>0 after a finite time, while keeping all signals of the resulting closed-loop systems bounded. The simulation results demonstrate the effectiveness of the proposed algorithm.