PID Controller Optimization by GA and Its Performances on the Electro-hydraulic Servo Control System

A proportional integral derivative （PID） controller is designed and attached to electro-hydraulic servo actuator system （EHSAS） to control the angular position of the rotary actuator which control the movable surface of space vehicles. The PID gain parameters are optimized by the genetic algorithm （GA）. The controller is verified on the new state-space model of servo-valves attached to the physical rotary actuator by SIMULINK program. The controller and the state-space model are verified experimentally. Simulation and experimental results verify the effectiveness of the PID controller adaptive by GA to control the angular position of the rotary actuator as compared with the classical PID controller and the compensator controller.     

Refined modeling and experimental verification of a torque motor for an electro-hydraulic servo valve

The Permanent Magnet Torque Motor (PMTM) is the key electro-mechanical conversion device in an Electro-Hydraulic Servo Valve (EHSV). In this work, a refined model of a PMTM is developed, considering the non-working air-gaps between the upper or lower yoke and the armature, the fringing effect at the limiting holes, and the nonlinear permeability of soft magnetic material. Based on the refined model, the influences of various factors on the calculation accuracy of the magnetic flux at the pole surfaces of the armature and the output torque are investigated. For verifying the validity of the refined model, a Finite Element Analysis (FEA) of the PMTM is conducted, and a test platform is constructed. Compared with existing models, the refined model can better reveal the intrinsic mechanism of the PMTM, and its calculations are more consistent with the FEA results. The experimental results of the armature deflection displacement show that the refined model can accurately describe the output characteristics of the PMTM.     

航天大功率电动伺服系统功率驱动设计及验证技术

针对运载火箭30 kW以上功率等级电动伺服控制驱动器的研制要求，设计了一种强环境适应的大功率绝缘栅双极型晶体管(IGBT)功率驱动模组。通过对火箭固体助推发动机工作环境分析，设计了基于光耦驱动器件的功率驱动与保护电路;为有效提升功率驱动模组在高压大电流工作时的可靠性，采用降低功率主回路杂散电感与IGBT有源钳位闭环控制相结合的方法，有效抑制IGBT在大电流关断时的电压尖峰;通过对动力电进行滤波处理，有效解决高压高频信号通过线缆传输时对控制驱动器内、外部的电磁干扰问题;通过IGBT功率驱动电路的单双脉冲测试及连续功率测试，有效验证IGBT功率驱动模组的高压驱动能力，为大功率电动伺服系统的可靠性提供技术支撑。     

导引头伺服机构消隙齿轮系统动力学特性分析

消隙齿轮广泛应用于导引头伺服机构惯性稳定平台传动系统中，用于消除回程误差，提高传动精度。目前，对消隙齿轮传动系统的动力学分析大多采用数值方法，然而在求解含时变啮合刚度和间隙的强非线性系统时耗时较长。本文利用集中质量法建立考虑时变啮合刚度的消隙齿轮系统动力学模型，通过对模型的无量纲及归一化处理，运用分段的增量谐波平衡法对消隙齿轮传动系统进行分析，并利用四阶Runge-Kutta法进行数值验证，研究了不同参数对消隙齿轮系统动力学特性的影响规律。结果表明:随扭簧刚度的提高，系统谐振频率也提高，且共振幅值降低;随内部激励的增加、阻尼比的减小，系统由周期运动逐渐变为混沌运动，且共振幅值增大。     

基于遗传算法优化小波网络的柔性喷管力矩特性辨识方法

为准确辨识负载力矩并提高主动加载负载模拟的真实度，使用了一种基于遗传算法优化的神经网络辨识方法。使用小波分析方法对测试信号进行预处理，将消噪与分解后得到的信息作为神经网络训练的扩充样本，提高了辨识精度。使用遗传算法选择最优输入信息、网络结构和隐含层规模，加快网络收敛速度并简化计算过程，实现对柔性喷管力矩的快速准确辨识。仿真结果表明该辨识方法可以准确地描述柔性喷管在典型测试信号激励下的力矩特性，平均辨识误差为2%，对于实现精确主动加载控制和验证伺服控制性能具有重要意义。     

加工装配误差影响下偏转射流压力伺服阀静态特性分析

电液压力伺服阀是电液压力伺服控制系统的核心控制元件，广泛应用于航空、航天、军事等领域。区别于流量伺服阀，压力伺服阀在滑阀放大器的设计上多采用带有压力控制容腔的三通阀结构，不同的滑阀结构使得现有的偏转射流流量伺服阀仿真模型难以满足压力伺服阀性能预测的需求。本文基于AMESim平台建立了偏转射流压力伺服阀的仿真模型，并通过实验对仿真模型进行了验证，验证结果表明仿真模型能够准确地描述压力伺服阀的静态特性。最后，通过仿真模型分析了加工装配误差影响下压力伺服阀输出性能差异，仿真结果可为偏转射流压力伺服阀的性能预测和结构设计提供参考。