燃气机热泵系统电子膨胀阀流量控制的研究

本文通过理论分析及实验测试,研究燃气机热泵系统启动过程和大范围变容量调节过程中系统流量特性,提出了适合于燃气机热泵系统的电子膨胀阀流量控制策略.结果表明文中所提出的模糊自适应PID控制方法和模糊PID控制方法的控制性能要优于常规的PID控制方法.     

惯性平台稳定回路单神经元自校正PID控制

为了与新型高精度惯性平台相匹配,解决传统PID控制的稳定回路抗干扰性能不高的问题,利用神经网络具有自学习、自组织、联想记忆和并行处理等功能以及对于复杂系统控制可以达到满意效果的优势,设计了单神经元自校正PID控制器。这种控制器不但结构简单,而且适应环境变化,有较强的鲁棒性。设计中分别采用了无监督和有监督的Hebb学习算法以及改进的Hebb学习算法对系统进行控制。MATLAB仿真结果表明,单神经元自校正PID控制器在很多指标上均优于传统PID控制器,特别是其超调量,动态性能以及对干扰的抑制能力,是一种应用在实际平台系统中理想的控制器。     

基于补偿网络的PSM高压电源模块仿真分析

利用MATLAB对中国聚变工程实验堆(CFETR)低混杂波高压电源系统的调节模块进行仿真，分析了静态电网波动、负载变化、滤波参数等对输出电压的影响。利用补偿网络可以大大减少纹波，增加输出电压的稳定性。该系统的稳定时间在几个毫秒之内，纹波系数<1%。通过仿真决定对该高压电源系统调节模块采用比例积分微分(PID)控制与超前-滞后补偿策略。     

Integrated modeling and realizing of the 2 × 2 array-optical assembly

The development of array technique is a crucial issue for large-scale laser system, and the most important factor effecting optical performance of array system is exacting alignment tolerances, which are always requited to be less than 0.25 μrad and λ/13. An integrated model setup for far-field pattern distribution of a 2 × 2 array-optical system is described, which simulates the combining results under the influence of external vibration in PID control mode. In this model, the ANSYS and MATLAB/SIMULINK are included to respectively perform structure and control analysis. Based on the integrated model analysis, a 2 × 2 array-optical prototype is designed and fabricated, the simulation and experimental results show that the array-mirror assembly is capable of maintaining high-accuracy tiling stability.     

基于遗传算法参数整定的方位保持仪温控系统

遗传算法是一种高效的模拟生物进化过程的全局随机化搜索优化方法，它可直接得到所求解问题的全局最优解。针对方位保持仪，提出了一种分段参数设置与级间控制相结合的三级温控方案，并基于遗传算法对PID控制参数进行了优化整定。同时介绍了整个温控系统的软件实现。大量试验证明该控制策略接近最优，达到了战技指标要求。     

电磁轴承—转子系统的动态特性

本文提供了一个闭环控制电磁轴承-转子试验系统,在电磁力的控制作用下,重量为4公斤、直径为50毫米的转子完全悬浮于二个径向电磁轴承之中,转速可达3000转/分。本文还建立了此闭环控制系统的数学模型,通过数字仿真分析了其动态特性,探讨了控制器参数对转子运动的控制效果以及与电磁轴承动刚度之间的变化关系。     

陀螺数字PID温度控制系统设计与实现

介绍了陀螺温控系统的传统控制方法,并在此基础上提出了基于PC/104的数字PID控制的陀螺温度控制方法。实验结果表明这种控制方法能够满足陀螺快速启动、并保持其内部工作温度恒定的精度要求。     

A generalized mathematical model to analyze the nonlinear behavior of a controlled gyroscope in gimbals

In this paper, the effect of the parameter variation on the stability and dynamic behavior of a gyroscope in gimbals with a feedback control system, formed by a Proportional + Integral $+$ Derivative (PID) controller and a DC motor with an ideal train gear is researched. The generalized mathematical model of the gyro is obtained from the Euler-Lagrange equations by using the nutation theory of the gyroscope. The use of approximated models of the control system are deduced from the mathematical model of the gyro, taking into account that the integral action of the PID controller is constrained and that the inductance of the DC motor may be negligible. The analysis and choice of appropriate state variables to simulate the dynamic behavior of different models of the gyro are also considered. The paper shows that from the analysis of the equilibrium points, a Bogdanov Takens and a Poincaré-Andronov-Hopf bifurcation can appear. These bifurcations are analyzed from the calculation of a parameter which is known as the first Lyapunov value, showing that it is possible to deduce a procedure to find out when a complicated model can be substituted by a simpler one. In particular, the possibility of self-oscillating and chaotic behavior for different models of the system by using the first Lyapunov value as a function of the parameters of the PID controller is researched. Numerical simulations have been performed to evaluate the analytical results and the mathematical discussions.     

SELF-CORRECTED PID VIBRATION CONTROL BASED ON DUAL-FREEDOM DUAL-DRIVE INTELLIGENT CANTILEVER BEAM 1)

随着科技不断进步,智能结构的振动控制在航天航空、机械制造、车辆与船舶等领域得到了广泛应用。由于多输入多输出存在多样性和复杂性,严重威胁系统稳定性。为了解决这一问题,针对两输入单输出的双驱动智能悬臂梁系统提出一种自适应控制策略,首先基于压电线性本构方程,应用假设模态方法建立双驱动智能悬臂梁的力学模型,得到了基于闭环控制系统的状态方程,同时利用递推最小二乘法在线辨识系统参数设计比例积分微分(proportional--integral--derivative, PID)控制器实现自校正PID控制。通过数值仿真对比在有无PID 控制下两输入单输出双驱动智能悬臂梁系统的振动情况,分析自校正PID 控制的控制效果。通过实验验证自校正PID 控制对双输入单输出的双驱动智能悬臂梁系统的控制效果;再设置两组不同的单输入单输出自校正PID控制实验作对比。结果表明：自校正PID 控制方法可以较为有效地抑制智能悬臂梁的自由振动,相比单输入单输出的两组,两输入单输出自校正PID控制的效果更为明显和有效。