不确定性线性系统的H_∞输出反馈鲁棒重复控制

为了抑制乘性不确定性线性系统中的外部扰动,提出了一种重复控制器与输出反馈控制器参数同时优化的方法.引入一个假想摄动将系统的扰动抑制问题归结为具有结构型摄动的系统鲁棒稳定性问题.根据小增益定理得到该结构型摄动系统鲁棒稳定性的充分条件.引入一个稳定的定标阵,得到该结构型摄动系统低保守性的鲁棒稳定性充分条件.基于该充分条件和线性矩阵不等式方法(LMI)、锥补线性化方法(CCL),提出的迭代算法可以同时计算出重复控制器中低通滤波器剪切频率的最大值及其对应的输出反馈控制器的参数.最后,低频线振动台系统验证了该方法的有效性。     

Sliding mode disturbance observer-based backstepping control for a transport aircraft

This paper presents a novel control method by integrating the sliding mode disturbance observer- based control and the backstepping control technique, and successfully applies it to a flight control system for heavy cargo airdrop operations. The super-twisting second order sliding mode disturbance observer （SOSMDO） is employed to estimate bounded but otherwise arbitrary disturbances, thus ensuring asymptotic convergence of the estimation error to zero in a finite time. Besides, the integrated controller can significantly improve the robustness of the flight control system to modeling uncertainty and external disturbance in the presence of state/control constraints. The closed-loop stability is guaranteed in the sense of Lyapunov. In addition, the proposed approach can considerably reduce design cycles. The performance of the proposed control method is demonstrated in a very low altitude extraction airdrop simulation with a high-fidelity six-degree-of-freedom transport aircraft model.     

机械电器产品检验抽样方法探讨

根据机电产品生产特点,对稳定生产状态下的生产条件进行细分,提出不同生产条件下的生产质量验收抽样方法。     

车间空气中氨浓度测定方法改进

用纳氏试剂分光光度法代替纳氏试剂目测比色法测定车间空气中氨浓度，并采用了单管直接抽取空气样品的方法，使操作简单。并对分析过程中的干扰因素进行了消除，经过作标准曲线、空白试验和计算方法检测限，证明此方法准确度较高。     

Observer‐based compensation control of servo systems with backlash

For compensating backlash phenomenon in servo systems, the authors propose an observer method in this paper to estimate both system states and vibration torque before controller design. First, a systematic scheme is given to obtain plant parameters, which is very important in observing system states. This is a parameter estimation principle that gives a crude estimation and computes the differences between the crude and true values. As a result, the precise value of the parameters is obtained by adding together the crude value and the difference. Then, based on the precise estimated parameters, an extended state observer (ESO) is designed to obtain feedback and feedforward signals. Consequently, robust compensation control is achieved by designing an output feedback controller, consisting of a feedback term and a feedforward term. Finally, in order to validate the proposed approach, extensive experiments are performed on a practical servo system with backlash nonlinearity.     

改进麻雀搜索算法求解作业车间调度问题

针对最小化完工时间的作业车间调度问题(JSP),提出改进麻雀搜索算法(ISSA).首先设计有效的编码转换方式,形成JSP离散决策空间与麻雀搜索算法(SSA)连续搜索空间的对应关系.然后,针对SSA在求解后期易陷入局部最优,利用量子计算、正余弦搜索和警戒者数量递减策略对SSA进行改进,同时引入多邻域搜索和高斯扰动策略以弥补SSA在求解离散问题时深度发掘能力不足的弊端.最后,进行FT、LA系列10个测试问题、6种算法和2个应用实例的对比实验.结果表明,ISSA在求解JSP时,能获得更好的最小值、平均值和寻优成功率,验证了ISSA求解JSP的有效性.     

中国洪水预报系统方案参数优选加速方法研究

为有效缩短中国洪水预报系统方案参数优选耗时,选择东辽河支流十屋流域建立三水源新安江模型预报方案,挑选历史最大10场次洪用于参数率定研究。中洪系统利用…\\Temp目录下的文件作为模块之间、模块与系统之间的通讯,参数优选时频繁的文件读写消耗了大量的时间,本文据此设计了三套解决方案:换用固态硬盘和使用虚拟内存盘方案旨在提高中洪系统的文件读写效率,借用河海大学HMCE系统用于测试整个数据流优化之后的效果。当用全局参数优选的基因法重复运行20次进行参数率定时,上述四种方法的平均耗时依次为230 min、55 min、19 min、4.4 min;当用局部参数优选的单纯形法时,平均耗时依次为185 min、45 min、17 min、4.1 min。研究成果可以有效缩短预报方案的参数优选时间,对提高中洪系统的应用效率、研发相关软件等具有重要的应用价值。     

一种新型摩擦电液加载系统的设计与验证

为解决传统负载模拟器受到被加载对象运动干扰的问题,提高实验室环境下负载模拟的精度,提出用执行机构或伺服驱动系统带载测试的摩擦电液加载方案.分析传统电液负载模拟器加载性能受被测试设备运动干扰的影响,设计一种基于摩擦加载的主动式电液力矩伺服加载系统.根据加载原理,建立摩擦加载系统的数学模型,分析数学模型结果表明,理想情况下摩擦加载方案不受被加载机构运动的影响.鉴于实际过程中系统存在多种变化参数,特别是具有不确定性和时变性的摩擦,仿真分析摩擦因数变化时摩擦电液加载系统的加载性能.仿真结果表明:传统电液负载模拟器受被测试设备运动影响很大,使得传统电液负载模拟器性能很难进一步提升;相对被动加载的传统模拟器性能,尽管摩擦因数会受相对运动、负载压力和温度等因素的影响在一定范围内变化,但摩擦电液加载系统仍能保持较高的力矩模拟精度.     

双目视差测距望远光学系统设计

双目视差测距望远镜主要应用于对动态目标的测量,特别是飞机飞行距离的测量。双目视差测距望远系统,不对外发射信号,属于被动式测距仪,因此具有被动接收式和非接触式的特点,可测量500~5000m大范围距离。主要探讨了双目视差望远系统的主要光学原理,并利用Zemax光学设计软件对双目视差望远光学系统进行设计与优化,并对本光学系统进行了误差分析。使用CMOS自动调焦技术,提高了双目望远镜的成像质量。双目视差测距望远系统的测距理论误差在0.91%以下,满足测距理论误差小于1%的要求。     

Anti-disturbance dynamic surface control scheme for a class of uncertain nonlinear systems with asymmetric dead-zone nonlinearity

This study proposes anti-disturbance dynamic surface control scheme for nonlinear strict-feedback systems subjected simultaneously to unknown asymmetric dead-zone nonlinearity, unmatched external disturbance and uncertain nonlinear dynamics. Radial basis function-neural network (RBF-NN) is invoked to approximate the uncertain dynamics of the system, and the dead-zone nonlinearity is represented as a time-varying system with a bounded disturbance. The nonlinear disturbance observer (NDO) is proposed to estimate the unmatched external disturbance which further will be used to compensate the effect of the disturbance. Then, by integrating RBF-NN, NDO and dynamic surface control (DSC) approaches, the proposed anti-disturbance control scheme is designed. Stability analysis of the closed-loop system shows that all signals of the closed-loop system are semi-globally uniformly ultimately bounded and the tracking error can be made arbitrarily small by proper selection of the design parameters. In comparison with the existing methods, the proposed scheme deals with the unmatched external disturbance, uncertain dynamics and unknown asymmetric dead-zone nonlinearity, simultaneously; it avoids the "explosion of complexity" problem and develops the simple control law without singularity concern. Furthermore, some imposed assumptions to the dead-zone input and disturbances are relaxed. Simulation and comparison results verify the effectiveness of the proposed approach.