静电陀螺测试转台电气部分方案设计

叙述了静电陀螺三环测试转台电气部分的方案设计要点。该电气部分包括静电陀螺启动与控制系统，转台控制系统，计算机三大部分，测角分系统采用粗精耦合式角位置传感器。双轴伺服分系统采用带有纯积分环节的一阶无差控制系统，三轴位置控制分系统采用一阶无差数字控制的方案，从而确保转台满足精度指标。     

测试转台全数字化控制系统设计

本文讨论了测试转台全数字化系统设计方法,并成功地应用于某型单轴测试台.实验结果表明,全数字化控制系统设计能够有效避免模拟控制中的积分漂移和无刷力矩电机的干扰噪音,可保证位置控制精度达到±1＂,最低平稳速率达到0.0001 deg/s.     

四轴稳定跟踪转台伺服控制系统的研究与实现

以四轴稳定跟踪伺服转台系统研制的实例出发，从系统总体结构，元、部件选型计算及控制系统的设计与实现等方面进行了详细介绍。针对系统难点，采用基于高速DSP控制器、以采样数字控制和信号滤波技术为基础的全闭环伺服控制方案。实验测试结果均达到了预先制定的设计指标和精度要求，表明了系统设计方案的实用性和有效性。     

转台控制系统的一种设计方案

本文针对测试转台控制系统在位置方式下存在的大偏差快速归零问题，在速率方式下存在的大偏差不稳定问题，对其控制系统进行了一种设计方案探讨，该方法能较有效地提高转台的动态性能。     

带有惯性敏感元件的新型陀螺测试转台系统控制器设计

传统原理的陀螺测试转台使用测角元件测量转台的角速率,其精度与所选的角度(或时间)间隔关系极大,即使综合使用各种控制方法也难以达到理想的速率精度和速率平稳性。提出一种新的测速原理,将惯性敏感元件引入转台测试系统测量瞬时角速率,瞬时速率能够很好地反映速率精度和速率平稳性,通过反馈与控制瞬时角速率信息提高转台的速率精度和速率平稳性。探讨了带有惯性敏感元件的新型转台的控制系统组成,进行控制系统设计时,将闭环系统按功能划分成测量回路和稳定回路,并运用数字控制解决控制器综合问题,使用Matlab软件分析系统主要变量响应过程。最后,由控制器设计过程和所得模型分析结果证实,相对传统转台,新型转台的数字控制系统具有较高鲁棒性,响应时间缩短为0.15 s,更适宜于陀螺仪表的动态测试。     

转台控制系统的DSP实现

从软、硬件两方面介绍了一种基于TMS320F206的数据采集及控制系统在转台控制中的应用。这种以高速SP芯片为核心的控制系统,能实现更先进的控制算法。     

测试转台温控箱的计算机控制

本文针对测试转台温控箱系统的大滞后特性，设计了一种带Ｓｍｉｔｈ预估器的ＰＩ校正器，并采用了基于８０９８单片机的计算机控制实现。仿真和实验均表明，文中的控制算法能够有效克服纯大滞后对控制系统稳定性的影响，具有良好的鲁棒性及控制性能，而且实现简单，可靠性好。     

双轴稳定平台数字控制系统的TMS320C25设计和实现

本文讨论了某双轴稳定平台数字控制系统的ＴＭＳ３２０Ｃ２５设计和实现，给出了系统设计、硬件实现、软件流程及实验结果。     

基于虚拟设备驱动程序的转台实时控制方法研究

给出了一种Windows 9x环境下实现硬件实时控制的方法。在介绍了Windows 9x内核结构,并阐述了虚拟设备驱动程序的结构和运行的基础上,结合转台控制系统,提出了一种实时控制方法。实践证明：把虚拟设备驱动程序应用于转台实时控制具有开发方便,事务处理能力强等优 点。     

捷联惯性导航加速度计动态误差模型在三轴转台上的实验标定

本文提出了在三轴转台上用双轴速率输入法来估计捷联惯导加速度计动态误差模型参数的方法。该方法基本解决了加速度计动态误差的标定问题,同时也容易实现试验计划的优化设计,以提高模型参数辨识精度。所做工作对于提高捷联惯性导航系统精度、丰富惯性器件测试理论及开发三轴转台的使用功能均有一定意义。     

Parallel implementation of data assimilation

Kalman filter is a sequential estimation scheme that combines predicted and observed data to reduce the uncertainty of the next prediction. Because of its sequential nature, the algorithm cannot be efficiently implemented on modern parallel compute hardware nor can it be practically implemented on large‐scale dynamical systems because of memory issues. In this paper, we attempt to address pitfalls of the earlier low‐memory approach described in and extend it for parallel implementation. First, we describe a low‐memory method that enables one to pack covariance matrix data employed by the Kalman filter into a low‐memory form by means of certain quasi‐Newton approximation. Second, we derive parallel formulation of the filtering task, which allows to compute several filter iterations independently. Furthermore, this leads to an improvement of estimation quality as the method takes into account the cross‐correlations between consequent system states. We experimentally demonstrate this improvement by comparing the suggested algorithm with the other data assimilation methods that can benefit from parallel implementation. Copyright © 2016 John Wiley & Sons, Ltd.     

Nonlinear aeroservoelastic analysis of a controlled multiple-actuated-wing model with free-play

In this paper, the effects of structural nonlinearity due to free-play in both leading-edge and trailing-edge outboard control surfaces on the linear flutter control system are analyzed for an aeroelastic model of three-dimensional multiple-actuated-wing. The free-play nonlinearities in the control surfaces are modeled theoretically by using the fictitious mass approach. The nonlinear aeroelastic equations of the presented model can be divided into nine sub-linear modal-based aeroelastic equations according to the different combinations of deflections of the leading-edge and trailing-edge outboard control surfaces. The nonlinear aeroelastic responses can be computed based on these sub-linear aeroelastic systems. To demonstrate the effects of nonlinearity on the linear flutter control system, a single-input and single-output controller and a multi-input and multi-output controller are designed based on the unconstrained optimization techniques. The numerical results indicate that the free-play nonlinearity can lead to either limit cycle oscillations or divergent motions when the linear control system is implemented.     

基于神经网络的结构可靠性优化设计

结合随机摄动技术和随机模拟方法,提出了可靠性优化设计的一种数值逼近法,将服从任意分布的可靠性概率约束等价转化为确定型约束,可以迅速准确地获得优化设计结果。针对具有多失效模式的结构可靠性优化设计,提出了随机模拟-神经网络方法,模拟得到随机设计变量与系统可靠度之间的显性函数表达式,简化了计算过程,同时可以获得较高的计算精度,具有很好的工程实用价值。     

Experimental realizations of the HR neuron model with programmable hardware and synchronization applications

This study presents experimental realizations of the HR neuron model with programmable hardware and synchronization applications. The HR neuron model exhibiting burst, spike, and chaotic dynamics has been implemented with both FPAA (Field Programmable Analog Array) and FPGA (Field Programmable Gate Array) devices. These devices provide flexible design possibilities such as reducing the complexity of design, real-time modification, software control and adjustment within the system. And it is also examined experimentally that how the synchronization of two HR neurons are able to achieve by using these hardware. The experimental results obtained from FPAA and FPGA based realizations agree with the numerical simulations very well.     

Non-smooth predictive control for mechanical transmission systems with backlash-like hysteresis

This paper proposes a non-smooth predictive control approach for mechanical transmission systems described by dynamic models with preceded backlash-like hysteresis. In this type of system, the work platform is driven by a DC motor through a gearbox. The work platform is represented by a linear dynamic sub-model connected in series with a backlash-like hysteresis inherent in gearbox. Here, backlash-like hysteresis is modeled as a non-smooth function with multi-valued mapping. In this case, the conventional model predictive control for such system cannot be implemented directly since the gradients of the control objective function with respect to control variables do not exist at non-smooth points. In order to solve this problem, a non-smooth receding horizon strategy is proposed. Moreover, the stability of predictive control of such non-smooth dynamic systems is analyzed. Finally, a numerical example and a simulation study on a mechanical transmission system are presented for validating the proposed method.     

Active control of structural acoustic pressure in a rectangular cavity using piezoelectric actuators

Active control of structural acoustic pressure in a rectangular cavity with a flexible beam is simulated numerically. The wave equation of the acoustic pressure and the equation of motion of the beam are approximated via the series expansions, and is then expressed in state space form. The control of structural acoustic pressure and vibration of the beam was implemented by applying the optimal voltage on piezoelectric actuators through an LQR controller. Two cases of different external forces acting on the piezoelectric laminated beam are illustrated. Results demonstrate that such a control system can efficiently reduce the structural acoustic pressure.     

回滞非线性结构的瞬态最优控制

本文对一种国滞非线性基础隔振的主从结构模型用瞬态最优控制法进行振动控制研究。利用四阶Ｒｕｎｇｅ－Ｋｕｔｔａ积分格式统一处理最优控制方程，可直接逐步积分求出系统在瞬态最优控制下的最优控制力与系统响应。分别对主从结构无主动控制及有主动控制时的两种情况（包含或不包含ｖｂ反馈）进行计算。结果表明瞬态最优控制可有效地抑制振动。     

某型导弹惯性控制系统测试

某型惯性控制系统是该导弹惯性制导系统的重要组成部分。用静止导航试验法来测试惯性导航系统性能,是一种简便易行的方法。为了高效地对惯性控制系统进行维修测试,以静止导航试验法为基础,进一步提出了在线测试和离线测试两种测试方法。介绍了某型导弹惯性控制系统自动测试设备的总体设计方案及软件、硬件实现方法,并研制出了相应的测试设备。该设备采用虚拟仪器技术,主要由测控计算机系统、信号控制调理模块和电源组成,主要编程软件为LabWindows CVI8.0。实际工程测试表明：用这种测试方法和设备,能够较详尽地测试出惯性控制系统的性能参数,较准确地进行产品的故障定位,大幅度提高了产品的测试和维修效率,在功能、精度以及实时性等方面都达到了预期的目标。     

Adaptive fuzzy backstepping output feedback control of nonlinear uncertain time-delay systems based on high-gain filters

In this paper, an adaptive fuzzy output feedback control approach is developed for a class of SISO uncertain nonlinear strict-feedback systems. The considered nonlinear systems contain unknown nonlinear functions, unknown time-varying delays and unmeasured states. The fuzzy logic systems are first used to approximate the unknown nonlinear functions, and then a high-gain filter is designed to estimate the unmeasured states. Combining the backstepping recursive design technique and adaptive fuzzy control design, an adaptive fuzzy output feedback backstepping control method is developed. It is proved that the proposed adaptive fuzzy control approach can guarantee that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB) and both the observer error and tracking error converge to a small neighborhood of the origin. Two key advantages of our scheme are that (i) the high-gain filter is designed to estimate unmeasured states of time-delay nonlinear system, and (ii) the virtual control gains are functions. A simulation is included to illustrate the effectiveness of the proposed approach.     

Size reduction methods for the implicit time-dependent simulation of micro–macro viscoelastic flow problems

Traditionally, micro–macro simulations have been performed using simple explicit time-marching algorithms, which lack the desirable stability of implicit methods. In this study, a fully implicit time integration scheme is presented and implemented for the first time for the solution of time-dependent complex flows using the Brownian Configuration Fields approach. Special techniques need to be applied to deal with the very large size of the resulting linear systems. A novel size-reduction scheme is used, allowing an independent treatment for each molecular field and suited to parallel hardware architecture. To illustrate the method, a selected number of applications using linear spring chains are presented and the results are compared with their corresponding closed form constitutive equation. The excellent agreement between the results demonstrates the feasibility of the proposed approach.