Start-up current adaptive control for sensorless high-speed brushless DC motors based on inverse system method and internal mode controller

The start-up current control of the high-speed brushless DC (HS-BLDC) motor is a chal-lenging research topic. To effectively control the start-up current of the sensorless HS-BLDC motor, an adaptive control method is proposed based on the adaptive neural network (ANN) inverse system and the two degrees of freedom (2-DOF) internal model controller (IMC). The HS-BLDC motor is identified by the online least squares support vector machine (OLS-SVM) algo-rithm to regulate the ANN inverse controller parameters in real time. A pseudo linear system is developed by introducing the constructed real-time inverse system into the original HS-BLDC motor system. Based on the characteristics of the pseudo linear system, an extra closed-loop feed-back control strategy based on the 2-DOF IMC is proposed to improve the transient response per-formance and enhance the stability of the control system. The simulation and experimental results show that the proposed control method is effective and perfect start-up current tracking perfor-mance is achieved.     

PI实时数据库数据流算法

研究PI实时数据库的实现,包括PI对源数据入库的预处理以及压缩方法。通过结果对比可以得出,经过PI数据流算法处理后,既保证数据的关键信息不致丢失,同时保证数据的可靠性和高效性。     

Active flutter suppression of a multiple-actuated-wing wind tunnel model

In this study, a multi-input/multi-output（MIMO） time-delay feedback controller is designed to actively suppress the flutter instability of a multiple-actuated-wing（MAW） wind tunnel model in the low subsonic flow regime. The unsteady aerodynamic forces of the MAW model are computed based on the doublet-lattice method（DLM）. As the first attempt, the conventional linear quadratic-Gaussian（LQG） controller is designed to actively suppress the flutter of the MAW model. However, because of the time delay in the control loop, the wind tunnel tests illustrate that the LQG-controlled MAW model has no guaranteed stability margins. To compensate the time delay, hence, a time-delay filter, approximated via the first-order Pade approximation, is added to the LQG controller. Based on the time-delay feedback controller, a new digital control system is constructed by using a fixed-point and embedded digital signal processor（DSP） of high performance. Then, a number of wind tunnel tests are implemented based on the digital control system.The experimental results show that the present time-delay feedback controller can expand the flutter boundary of the MAW model and suppress the flutter instability of the open-loop aeroelastic system effectively.     

基于自适应模糊逻辑的活塞发动机TCU故障检测算法研究

故障分析与诊断是活塞发动机地面试车检测系统的关键功能之一,对于确保试飞安全具有重大意义。通过分析模糊逻辑系统的数学原理,研究了基于模糊逻辑的故障诊断模块分析算法,并利用MALLAB软件实现了模块基本功能,为利用模糊逻辑算法的非线性逼近能力,分析并监测发动机TCU运行状态奠定了基础。     

模糊综合评价模型在期刊质量评价中的应用

质量是学术期刊的生命,是决定期刊能否生存和发展的最重要因素之一。介绍了模糊综合评价的数学模型,并将二级模糊综合评价用于科技期刊的评价,为客观地评价期刊质量提供了一种定量的、科学的方法。     

一种基于可控可观性模型的飞航武器测试性方案设计

针对飞航武器保障中测试资源调度缺乏顶层规划,测试方法配置无法进行优化管理的现状,提出了一种面向测试性方案设计的数学算法,探索测试性理论工程化的途径。利用线性系统理论中的可控可观模型,对故障与测试资源间的关系重新表述,进行了测试完备性分析;运用模糊综合评判模型分别对测试点设计、测试序列排布、测试方法设计优选,得到测试资源的最优化调度与配置。最后,以无人机系统为例,用模型进行了测试性方案设计。     

基于贝叶斯网络的末制导雷达模糊可靠性分析

弹载末制导雷达可靠性多含不确定性与模糊性因素影响,且其具有样本量小、可靠性高等特点,传统可靠性评估方法难以适用。提出了一种基于贝叶斯网络的模糊可靠性分析方法,以某型导弹末制导雷达系统的为具体研究对象,对其进行可靠性分析,验证了方法的有效性。     

机载火警探测系统的改进研究

针对目前飞机货舱火警探测系统误报率高等问题,本文提出研究一种基于模糊信息融合理论的飞机货舱火警探测系统,同时利用温度传感器、一氧化碳传感器、红外烟雾传感器测试飞机货舱火警探测标的物,并将3种传感器所获得的温度、一氧化碳浓度、烟雾浓度参数信息进行模糊融合运算和决策处理,实现飞机货舱火警早期预报.验证结果表明,基于模糊信息...     

运输机超低空空投抗侧风控制器设计

为使运输机能在较强侧风下仍能完成空投任务,需设计抗侧风控制器减缓其对空投过程的影响。分别设计了经典的PD控制器和离散论域的模糊控制器。仿真结果表明,两者均能有效抑制侧风干扰。与PD控制器相比,模糊控制器具有更高的控制精度和较强的鲁棒性。     

基于变质心/RCS复合方式的再入飞行器控制系统设计方法研究

再入飞行器采用变质心控制不但可以保持较好的气动外形,还可以降低能量消耗以增大载荷能力,但该控制对气动力的依赖较大,在气动力不足时需要与其他控制方式复合以实现系统响应指标.本文提出一种基于变质心控制性能分析的全空域高动态特性再入飞行变质心/RCS复合控制模式,以动压和攻角偏差为逻辑判断变量,并设计了虚拟控制器与力矩分配控...