基于遗传算法的航空发动机多目标优化PID控制

提出采用多目标遗传算法,对航空发动机PID控制器参数进行优化设计.使用先进多目标遗传算法NSGA-Ⅱ对航空发动机PID控制器进行参数整定.针对某型航空发动机在飞行包线内的飞行状态进行控制器参数的优化选取,仿真结果表明,与传统手动试凑调节PID控制器参数进行比较,转速阶跃响应过程的性能指标得到了很好的优化,获得了令人满意的优化效果.      

基于遗传算法的航空发动机PI控制器参数优化方法

P ID控制器参数整定与优化一直是自动控制领域研究的问题。采用遗传算法进行的PID参数整定与优化是一种全局最优且与初值无关的优化方法。本文结合某型航空发动机,利用遗传算法对发动机单变量及双变量P I控制器参数进行优化。仿真结果表明:该方法对PI参数整定具有比较好的综合控制性能,不失为一种具有较好实用价值的航空发动机P I控制器参数整定与优化方法。      

基于交替联合迭代的关节电机滑模控制参数整定方法

机器人关节电机的控制器参数整定是实现系统良好控制性能的前提。提出了一种基于交替联合迭代的关节电机滑模控制器参数整定方法。设计了永磁同步关节电机的电磁参数,并设计了PID电流环控制器和滑模速度环控制器结合的滑模PID控制器。利用工程整定方法初步整定滑模速度环控制器的参数;增设冗余PID速度环控制器,对其参数进行整定,以冗余PID速度环控制器和滑模速度环控制器作用于系统时的输出转速为迭代变量,交替选择速度环控制器参数进行联合迭代,完成滑模速度环控制器参数的整定。利用MATLAB/Simulink软件对系统进行仿真,证明方法具有较高的整定效率,可使关节电机控制系统获得良好的控制性能。     

Fuzzy自整定PID控制器设计及其MATLAB仿真

针对常规PID控制器不能在线进行参数自整定的问题,结合模糊控制技术,提出了一种模糊自整定PID参数的方法,运用MATLAB进行仿真研究表明,该模糊自整定PID控制器既具有PID控制器高精度的优点,又具有模糊控制器快速、适应性强的特点,使被控对象具有良好的动、稳态特性。     

基于支持向量机回归和RBF神经网络的PID整定

针对工业控制领域中非线性系统控制,在基于梯度下降法的RBF网络PID整定的基础上,对整定算法作出改进,控制目标不再是使当前跟踪误差最小,而是使当前跟踪误差和下一时刻跟踪误差的平方和最小。实现过程为:先由RBF神经网络在线辨识被控对象离散模型,得到被控对象的Jacobian信息,采用梯度下降法对PID控制器参数进行初步整定;然后,将系统跟踪误差和PID参数输入支持向量机模型,通过回归预测系统下一时刻的误差,改进的整定算法利用预测误差信息对参数进行再整定。仿真结果表明,引入支持向量机回归优化的RBF神经网络PID整定收敛速度更快,精度更高,跟踪性能优于RBF神经网络PID整定。     

飞机部件柔性装配多轴协同控制算法研究

根据飞机部件柔性装配多轴协同控制的需求,采用模糊自整定PID算法进行实时控制。依据模糊自整定PID控制策略和PID参数的整定原则,结合MATLAB软件,用MATLAB语言编程与SIMULINK相结合的方法实现了一种飞机部件柔性装配模糊自整定PID控制器的设计、分析与仿真。     

神经网络PID在电机调速中的应用

针对传统PID控制器参数不能随直流电机转速变化而适时整定的缺点,将常规PID控制器与具有自学习功能的神经网络相结合,提出了基于BP神经网络的PID控制算法。通过工控机与PLC之间的通信,实现用户自行开发的神经网络对PID参数的适时整定,其控制效果已经通过实验进行了充分验证,较传统参数固定式PID调速器具有更快的调节速度和更高的调节精度。     

迭代学习方法在PID控制器参数自动调节中的应用及收敛性分析

针对PID控制器参数在具有不确定项或输出干扰项的非线性时变系统中的调节困难,提出了应用迭代学习方法整定PID控制器参数的方法,利用系统的跟踪误差信息自动整定控制器参数,通过理论分析得到此设计方法收敛的充分条件。此方法设计简单且具有普遍性,仿真结果验证了此设计方法的有效性。     

电动舵机模糊自整定PID控制仿真研究

针对传统PID控制器参数不易整定的缺点,将模糊控制和PID控制结合在一起,构造了模糊自整定PID控制器,并将其应用于电动舵机伺服控制系统,仿真和实验结果表明:此方法稳态精度高,动静态性能好,提高了系统的控制性能,具有较好的控制效果。     

自适应PID控制系统仿真

针对常规PID控制器不能满足非线性、时变系统的控制要求的问题,本文将自适应控制思想与PID控制器相结合,合成一种自适应PID控制解决方案,并设计了一个自适应PID控制器。该方案运用专家控制策略,自动整定PID参数。仿真结论表明,在系统参数不确定或者发生变化时,该控制器的控制效果明显优于常规PID控制器。     

The effect of inlet conditions on the flow and heat transfer in multiple rotating cavity with axial throughflow

This paper discusses experimental results from two different build configurations of a heated multiple rotating cavity test rig.Measurements of heat transfer from the discs and tangential velocities are presented.The test rig is a 70% full scale version of a high pressure compressor stack of an axial gas turbine engine.Of particular interest are the internal cylindrical cavities formed by adjacent discs and the interaction of these with a central axial throughflow of cooling air.Tests were carried out for a range of non-dimensional parameters representative of high pressure compressor internal air system flows(Re up to 5×106 and Rez up to 2×105).Two different builds have been tested.The most significant difference between these two build configurations is the size of the annular gap between the(non-rotating) drive shaft and the bores of the discs.The heat transfer data were obtained from thermocouple measurements of surface temperature and a conduction solution method.The velocity measurements were made using a two component,LDA system.The heat transfer results from the discs show differences between the two builds.This is attributed to the wider annular gap allowing more of the throughflow to penetrate into the cavity.There are also significant differences between the radial distributions of tangential velocity in the two builds of the test rig.For the narrow annular gap,there is an increase of non-dimensional tangential velocity V/Ωr with radial location to solid body rotation V/Ωr=1.For the wider annular gap,the non-dimensional velocities show a decrease with radial location to solid body rotation.      

Research on Auto-detection for Remainder Particles of Aerospace Relay Based on Wavelet Analysis

Aerospace relay is one kind of electronic components which is used widely in national defense system and aerospace system. The existence of remainder particles induces the reliability declining, which has become a severe problem in the development of aerospace relay. Traditional particle impact noise detection (PIND) method for remainder detection is ineffective for small particles, due to its low precision and involvement of subjective factors. An auto-detection method for PIND output signals is proposed in this paper, which is based on direct wavelet de-noising (DWD), cross-correlation analysis (CCA) and homo-filtering (HF), the method enhances the affectiv-ity of PIND test about the small particles. In the end, some practical PIND output signals are analysed, and the validity of this new method is proved.     

Preparation of Highly Dispersed Antimony-doped Tin Oxide Nano-powder via Ion-exchange Hydrolysis of SnCl4 and SbCl3 and Azeotropic Drying

Antimony-doped tin hydroxide colloid precipitates have been synthesized by hydrolysis of SnCl4 and SbCl3 using: (1) an ion-exchange hydrolysis to remove chlorine ions, and (2) isoamyl acetate as an azeotropic solvent to obviate water. The obtained dried powder is of high dispersivity without any need for further grinding. The size and dispersivity of the final particles are investigated with the aid of TG-DTA, BET, XRD and TEM. After having calcined, the antimony-doped tin oxide nanopowder possesses a tetragonal rutile structure with high dispersivity, uniform particles and low hard agglomeration.     

Effects of Mo on the Microstructure and Hydrogen Sorption Properties of Ti-Mo Getters

The effects of Mo on the microstructure evolution, porosity and hydrogen sorption properties of Ti-Mo getters are investigated in this work. The results show that the addition of Mo prolongs the densification process of Ti-Mo getters and results in a significant amount of sintered pores. With the Mo content increasing, the porosity of getters firstly increases reaching the maximum value as it at- tains about 7.5wt.%, and then drops. At the room temperature, the hydrogen sorption property of getters increases progressively with the Mo content increasing, but the tendency is not very clear before its content lies below 2.5wt.%. When the Mo content achieves about 7.5wt.%, the hydrogen sorption property proves to be the best. The discussion is made about the above mentioned phenomena inclusive of hydrogen sorption properties of getters under different activation conditions (from 500-750 ℃).     

超声速燃烧数值模拟中的湍流与化学反应相互作用模型

高精度数值模拟有助于理解超声速湍流燃烧中湍流与化学反应的相互作用,可为发动机燃烧室等工程应用设计提供可靠的预测模型。除直接数值模拟外,目前在湍流燃烧应用中使用的大涡模拟和雷诺平均Navier-Stokes模拟均需要借助模型模化发生在湍流小尺度上的流动与化学反应过程对湍流大尺度运动的影响。现有的湍流与化学反应相互作用模型大致可分为:火焰面类模型和概率密度函数类模型,2类模型在不同的应用中各自具有优势和局限性。此外,现有模型大都基于低马赫数燃烧,而超声速燃烧中通常会伴随快速混合、局部熄火和再着火以及激波等复杂过程,这为发展其中的湍流与化学反应相互作用模型提出了更多的挑战。     

适于低轨卫星IP网络的单核共享树组播算法(英文)

为了解决低轨卫星IP网络中现有典型源组播算法的信道资源浪费问题,本文提出了一套单核共享树组播算法,即核心群合并共享树(CCST)和加权核心群合并共享树(w-CCST)算法。CCST 算法包括动态近似中心(DAC)选核方法和核心群合并组播路径构建方法。DAC方法专为周期、规律运动的低轨卫星网络提出,不需要复杂的星上计算。在核心群合并方法中,以核节点作为初始核心群,通过核心群和剩余组成员的最短路径方法逐步扩展直至整棵组播树构建完成,从而使得组播树的树代价最小,大大提高了网络的带宽利用率和组播传输效率。w-CCST 算法中所提出的加权因子可以调整树代价和端到端传播时延之间的折衷程度,因此,可以通过调整加权因子来适度增大树代价、降低端到端传播时延以支持某些端到端时延要求苛刻的实时组播业务。最后,与低轨卫星 IP 网络中典型算法进行了性能比较,仿真结果说明,CCST 算法的平均树代价比其它算法显著降低,w-CCST 算法的平均端到端传播时延小于 CCST 算法。     

Jet Vectoring Control Using a Novel Synthetic Jet Actuator

A primary air jet vectoring control system with a novel synthetic jet actuator (SJA) is presented and simulated numerically. The results show that, in comparison with an existing traditional synthetic jet actuator, which is able to perform the duty of either “push” or “pull”, one novel synthetic jet actuator can fulfill both “push” and “pull” functions to vector the primary jet by shifting a slide block inside it. Therefore, because the new actuator possesses greater efficiency, it has potentiality to replace the existing one in various appli- cations, such as thrust vectoring and the reduction of thermal signature. Moreover, as the novel actuator can fulfill those functions that the existing one can not, it may well be expected to popularize it into more flow control systems.     

Nonlinear Adaptive Slewing Motion Control of Spacecraft Truss Driven by Synchronous V-gimbaled CMG Precession

The slewing motion control of a truss arm driven by a V-gimbaled control-moment-gyro (CMG) is a nonlinear control problem. The V-gimbaled CMG consists of a pair of gyros that must precess synchronously. The moment of inertia of the system, the angular momentum of the gyros and the external disturbances are not exactly known. With the help of feedback linearization and recursive Lyapunov design method, an adaptive nonlinear controller is designed to deal with the unknown items. Performance of the proposed controller is verified by simulation.     

An SOR Implicit Time-accurate Scheme in Calculating Unsteady Flows

A new time-accurate marching scheme for unsteady flow calculations is proposed in the present work. This method is the combination of classical Successive Over-Relaxation (SOR) iteration method and Jacobian matrix diagonally dominant splitting method of LUSGS. One advantage of this algorithm is the second-order accuracy because of no factorization error. Another advantage is the low computational cost because the Jacobian matrices and fluxes are only calculated once in each physical time step. And, the SOR algorithm has better convergence property than Gauss-Seidel. To investigate its accuracy and convergency, several unsteady flow computa- tional tests are carried out by using the proposed SOR algorithm. Roe’s FDS scheme is used to discritize the inviscid flux terms. Un- steady computational results of SOR are compared with the experiment results and those of Gauss-Seidel. Results reveal that the numerical results agree well with the experimental data and the second-order accuracy can be obtained as the Gauss-Seidel for unsteady flow computations. The impact of SOR factor is investigated for unsteady computations by using different SOR factors in this algorithm to simulate each computational test. Different numbers of inner iterations are needed to converge to the same criterion for different SOR factors and optimal choice of SOR factor can improve the computational efficiency greatly.