平台式航空/海洋重力仪精密温度控制研究

以平台式航空/海洋重力仪为基础,为降低温度变化对其惯性器件尤其是重力敏感器的影响,保证重力测量的精度,设计了一种三级五路结构的高精度温度控制系统。以包含核心惯性器件的第三级温控为例,重点分析了温控对象的建模、非线性PI控制器的设计等问题,并进行了仿真分析和高低温环境下的试验验证,结果表明,在-10℃~+45℃温度范围内3个温控通道的温度变化量和温度稳定性均小于0.01℃,达到了重力仪的温度控制精度要求,为重力仪实现高精度重力测量提供了有利的温度条件。     

基于SVPWM和模糊PI参数自整定的Z源逆变器并网研究

相比于传统的电压/电流型逆变器,Z源逆变器能实现升降压变换的功能,同时桥臂不需要死区时间,变换器可靠性更高。在传统SVPWM调制方法里,通过在零矢量中插入直通状态(同一桥臂同时导通),使其应用在逆变器中。Z源逆变器在实现更好交流输出的同时,实现了对直流侧电压任意倍数的升压。对于Z源逆变器传统的控制策略是采用电压外环和电流内环构成的双环PI控制,但双环PI控制无法达到较高的控制精度并且并网电流谐波畸变率较高。针对PI控制的局限性,提出了模糊PI控制器。该控制器利用模糊控制技术,根据误差大小对PI参数进行实时在线调整,从而满足最优的性能要求。通过仿真研究,试验结果证实了所提方法的有效性和正确性。     

Distributed fixed-time attitude coordinated control for multiple spacecraft with actuator saturation

This paper investigates the distributed fixed-time attitude coordinated control problem for multiple spacecraft subject to actuator saturation under the directed topology. First, a distributed fixed-time observer is presented for each follower spacecraft to estimate the leader spacecraft’s states. Compared with the commonly used fixed-time observer, the settling time of the proposed fixed-time observer can be easily adjusted by some free design parameters. Next, a distributed fixed-time control ...     

火箭弹电动舵机模糊单神经元PID控制算法

针对制导火箭弹电动式舵机,为提高其响应速度和精度,文章在模糊PID控制基础上,提出了模糊单神经元PID控制方法。首先,建立了火箭弹舵机系统模型;然后,将模糊推理、单神经元自学习算法和PID控制相结合,建立智能控制系统,以实现对舵机输入指令的精确、快速响应。经仿真实验表明:在此智能控制下,舵机位置在阶跃响应的调节时间、超调量以及正弦跟踪上相对于传统模糊PID控制均得到有效改进,具有良好的动静态性能、自适应性和稳定性。     

Adaptive feedback control of stability in an axial compressor with circumferential inlet distortion

The adaptive feedback control of stability with circumferential inlet distortion has been experimentally investigated in a low-speed, axial compressor. The flat-baffles with different span heights are used to simulate different distorted inflow cases. Compared with auto-correlation and root-mean-square analysis, cross-correlation analysis used to predict early stall warning does not depend on the distortion position. Hence, the cross-correlation coefficient was used to monitor the stable status of the compressor and provide the feedback signal in the active control strategy when suffering from different distortions. Based on the stall margin improvement of tip air injection obtained under different distorted inflow cases and the sensitivity analysis of cross-correlation coefficients to injected momentum ratios, tip air injection was adopted as the actuator for adaptive feedback control. The digital signal processing controller was designed and applied to achieve adaptive feedback control in distorted inflow conditions. The results show that the adaptive feedback control of air injection nearly achieves the same stall margin improvement as steady air injection under different distortion intensities with a reduced injection mass flow. Thus, the proposed adaptive feedback control method is ideal for the engine operation with circumferential distorted inflow, which frequently occurs in flight.     

Optimal trajectory design accounting for the stabilization of linear time-varying error dynamics

This study is dedicated to the development of a direct optimal control-based algorithm for trajectory optimization problems that accounts for the closed-loop stability of the trajectory tracking error dynamics already during the optimization. Consequently, the trajectory is designed such that the Linear Time-Varying(LTV) dynamic system, describing the controller’s error dynamics, is stable, while additionally the desired optimality criterion is optimized and all enforced constraints on the traje...     

基于模糊神经网络的智能PID控制算法

舵机控制系统存在响应速度慢、抗干扰能力差、系统参数不易整定、现有控制技术与设计方法的局限性等问题,这些问题影响了舵机的性能。为了提高制导火箭弹舵机伺服控制系统的性能,文章从舵机智能控制技术出发,研究了舵机的智能控制算法和Simulink系统仿真模型,采用模糊神经网络PID控制器来提高舵机的稳定性。仿真结果表明,模糊神经网络相比其他控制器进一步提升了舵机控制系统的控制效果。     

动态负调约束下固体冲压发动机燃气流量控制算法研究

变流量固体冲压发动机工作过程中，常采用控制燃气发生器压强的方式调节燃气生成量，在跟踪变化压强指令过程中，流量会产生明显的负调现象，严重影响发动机系统的安全性和可靠性。为 解决这一问题，本文以具有高度非线性、强时变特性的燃气发生器系统为对象，构建了基于粒子群算法的流量调节自适应PI控制器，并给出一种利用自适应微分跟踪器对期望控制指令进行“整形”的负调改善算法；首先，结合负调发生、终止判据，综合考量系统流量安全裕度，负调发生方向，构建了适配于动态负调约束的自适应跟踪微分器（TD），克服了传统跟踪微分器在负调抑制过程中控制精度不高，指向性不强等缺陷；进一步，开展了多工况下的负调抑制算法仿真校验，结果表明：所设计自适应控制算法具备良好的燃气流量控制能力，可实现在基本不改变响应时间情况下，将最大负调量削减56.6%的控制效果，展现出良好的工程应用前景。     

基于新型变速趋近律的永磁同步电机滑模控制

为了改善永磁同步电机(PMSM)调速系统的动态品质,提出了一种基于变速趋近律方法的PMSM滑模速度控制策略。为了提高传统指数趋近律的收敛速度和消除系统抖阵现象的影响,在传统指数趋近律的基础上提出了一种新型变速趋近律方法,并应用该方法设计了一种PMSM调速系统的滑模速度控制器。通过仿真和试验结果对比分析,证明该算法不仅改善了系统的鲁棒性能,同时改善了系统的动态响应速度。