模糊PID控制器在飞机电刹车上的应用

全电刹车系统在减小失火危险,减轻飞机重量,降低维护要求以及改善防滑性能方面都有着传统液压刹车系统无法比拟的优点.针对依据传统控制律设计的刹车系统常出现鲁棒性差、低速打滑的缺点,将模糊PID控制器运用到飞机刹车系统中,设计出了一种新的刹车控制方式:模糊PID PBM控制律.仿真结果表明,这种控制方式可以达到满意的控制精度,并且刹车平稳,没有出现低速打滑和脱胎的现象.     

大型低速翼型风洞侧壁边界层控制系统研制

介绍了NF-3大型低速翼型风洞多喷嘴级联吹气侧壁边界层控制系统的结构和原理。为验证本系统的功能和性能,采用侧壁吹气方案并使用增量式PID控制算法进行气源压力的控制,对具有增升装置的GAW-1翼型进行了侧壁边界层吹除试验研究。试验结果表明：（1）使用侧壁吹气系统后翼型模型中间截面最大升力系数由2．79增加到2．84,增加幅度1．8％,且模型端面截面的升力系数与中间截面的升力系数基本上相等;（2）利用增量式PID控制算法对气源压力的精确控制较好地完成了风洞侧壁吹气功能,改善了翼型表面流动,减小了侧壁边界层对翼型试验结果的影响。     

基于功率反馈的涡轴发动机神经网络PID控制研究

通过对功率平衡关系进行分析,提出了利用功率反馈设计智能神经网络PID控制器的方法。基于BP（Back Propagation）神经网络,将功率信号作为神经网络的输入层信号,并改进了网络权值的学习规则。通过在线整定PID参数,控制器能够根据功率误差信号的变化实时调整控制参数,从而使系统自主寻找到功率平衡点,具有良好的稳态和动态响应特性。仿真结果表明：该方法可以使涡轴发动机在全包线范围内具有理想的控制性能。     

飞机除冰车加热系统应用神经元PID控制仿真研究

针对飞机除冰车加热系统的大滞后和模型不确定性,设计了基于神经元自适应PID控制的飞机除冰车温度控制系统.仿真结果表明,神经元自适应PID控制较常规PID控制具有更好的控制品质和鲁棒性,更适用于飞机除冰车加热系统的温度控制.     

An intelligent control method for a large multi-parameter environmental simulation cabin

The structure and characteristics of a large multi-parameter environmental simulation cabin are introduced.Due to the diffculties of control methods and the easily damaged characteristics,control systems for the large multi-parameter environmental simulation cabin are diffcult to be controlled quickly and accurately with a classical PID algorithm.Considering the dynamic state characteristics of the environmental simulation test chamber,a lumped parameter model of the control system is established to accurately control the multiple parameters of the environmental chamber and a fuzzy control algorithm combined with expert-PID decision is introduced into the temperature,pressure,and rotation speed control systems.Both simulations and experimental results have shown that compared with classical PID control,this fuzzy-expert control method can decrease overshoot as well as enhance the capacity of anti-dynamic disturbance with robustness.It can also resolve the contradiction between rapidity and small overshoot,and is suitable for application in a large multi-parameter environmental simulation cabin control system.     

增程式APU混沌退火混合粒子群优化模糊PID动态控制

针对增程式辅助动力单元(APU)工作点切换过程的控制,提出了一种混沌退火混合粒子群(CAHPSO)算法优化模糊比例积分微分(PID)控制的增程式APU动态控制策略。该算法将标准粒子群(PSO)算法与混沌搜索和退火机制融合,强化全局寻优能力,并采用该算法离线优化模糊PID控制参数。为验证该控制策略的有效性,本文建立了APU仿真模型。仿真结果表明:该控制策略可使APU在工作点从热机点逐步切换至高负荷点的过程中稳定时间短,在三个工作点切换控制过程中稳定时间分别为2.92 s,2.88 s,2.79 s;可使APU转速超调率小,在小负荷点向中负荷点切换时超调约0.95%,在其余过程未出现超调;可使APU转矩变化平缓,在中负荷点向高负荷点切换时转矩仅超调0.16 N·m,具有良好的动态控制效果。      

Multi-parameter decoupling and slope tracking control strategy of a large-scale high altitude environment simulation test cabin

A large-scale high altitude environment simulation test cabin was developed to accurately control temperatures and pressures encountered at high altitudes. The system was developed to provide slope-tracking dynamic control of the temperature–pressure two-parameter and overcome the control difficulties inherent to a large inertia lag link with a complex control system which is composed of turbine refrigeration device, vacuum device and liquid nitrogen cooling device. The system includes multi-parameter decoupling of the cabin itself to avoid equipment damage of air refrigeration turbine caused by improper operation. Based on analysis of the dynamic characteristics and modeling for variations in temperature, pressure and rotation speed, an intelligent controller was implemented that includes decoupling and fuzzy arithmetic combined with an expert PID controller to control test parameters by decoupling and slope tracking control strategy. The control system employed centralized management in an open industrial ethernet architecture with an industrial computer at the core. The simulation and field debugging and running results show that this method can solve the problems of a poor anti-interference performance typical for a conventional PID and overshooting that can readily damage equipment. The steady-state characteristics meet the system requirements.     

基于奇异摄动法的水下机器人串-并联PID控制

针对串级PID控制应用于水下机器人位置、姿态控制时出现的收敛速度慢、抗扰动能力差等问题,提出一种基于奇异摄动法的串-并联PID控制方法.使用时标分解法得到水下机器人的快慢子系统模型,根据奇异摄动法设计串-并联PID控制.以自主设计的水下机器人为基础,使用最小二乘法测定水动力参数.通过仿真与实验证明串-并联PID控制具有...     

四火箭助推无人机起飞与降落控制算法

固定翼无人机起降过程对场地要求高,这限制了其应用。为此,提出四火箭助推无人机实现短距离起降的方案,并对火箭助推无人机起降控制算法进行研究。设计火箭助推无人机起降过程的控制策略;建立无人机气动力、助推火箭作用力、发动机推力及控制律数学模型,构建无人机起降过程的动力学方程;设计一种基于PID 控制的控制算法,控制目标无人机在各种干扰环境下安全稳定地完成起降过程;利用MATLAB 软件编程进行仿真计算,并通过对比仿真结果与试飞结果,来验证该控制算法的有效性。结果表明：所设计的控制算法及控制律满足目标无人机起降过程的控制要求。