高海拔潮气量双环PID控制系统研究

为解决高海拔地区气压降低导致急救呼吸机潮气量控制精度下降的问题,提出了双环PID潮气量控制系统。该系统采用气压补偿型PID控制器调整风机转速,并辅以积分分离式PID控制器,以实现对气流速度的精确控制。在实际海拔4370 m、大气压59 kPa的环境中,系统性能测试表明,相较于单环PID控制,双环控制系统在高海拔条件下表现出快速响应和无超调的卓越性能。平均气流速度输出误差为3.19%,最大误差为4.1%,优于现有临床设备的准确性。这一技术突破不仅提供了高海拔急救呼吸机潮气量控制的有效解决方案,也为特殊环境下的通气控制技术发展贡献了重要参考。

基于自适应模糊PID算法的锂电池组双层均衡控制

为提高电池重组时的均衡效率,在传统Buck-Boost均衡拓扑电路的基础上,设计了一种锂电池组双层均衡拓扑电路。组内采用Buck-Boost电路均衡,组间利用双向反激变压器进行均衡。均衡控制策略采用自适应模糊PID算法,以电池荷电状态(state of charge, SOC)为均衡变量,利用模糊控制算法对PID参数进行调节,缩短了均衡时间,提高了均衡效率。在Matlab/Simulink中搭建了锂电池组双层均衡拓扑电路和自适应模糊PID控制算法模型。实验结果表明:在不同工作状态下,所提出的电池组均衡拓扑及其控制策略将均衡时间效率平均提高了58.36%,验证了该方案的有效性。

基于遗传算法-模糊PID的双喷头FDM型3D打印机温度控制方法

熔融沉积成形(fused deposition modeling,FDM)3D打印需要将打印喷头加热至材料所需温度后才能开始打印。由于单喷头FDM型3D打印机的打印效率较低,以及其加热系统的滞后性较大且稳定性差,使得整个成形过程既耗时又浪费资源,且成形件的质量不高。为解决上述问题,结合打印材料物理性质和化学性质的差异性,提出了一种基于遗传算法-模糊PID(proportional-integral-derivative,比例-积分-微分)的温度控制方法,以实现对双喷头FDM型3D打印机加热方法的控制,并建立温度控制系统的MATLAB/Simulink仿真模型,以验证所提出的控制方法的可靠性。仿真和实验结果表明,与传统PID控制、模糊PID控制相比,遗传算法-模糊PID控制的响应时间缩短了36.03%和32.45%,调节时间缩短了28.06%和20.99%,具有响应速度快、调节时间短、超调量小和控制效果稳定等优势。研究结果可为复合材料的双喷头FDM 3D打印提供参考。

模糊PID控制对电磁耦合调速器的转速控制研究

为了提高PI算法控制的转速-电流双闭环控制模型对电磁耦合调速器转速的控制性能与鲁棒性,将模糊PID算法注入转速控制环,通过Simulink进行建模仿真,利用PSO算法优化模糊PID的控制参数,并利用模糊PID控制对电磁耦合调速器进行转速控制试验。结果表明:优化后的目标转速较PI算法在超调量方面减少了23.31 r/min,扰动量减少了19.8 r/min,稳定时间缩短了0.101 s;试验后的模糊PID控制消除了超调,稳定时间较PID算法缩短了4 s;模糊PID控制算法能够提高转速-电流双闭环对电磁耦合调速器的转速控制性能与鲁棒性,相比PI算法和PID算法具有优化效果。

双模糊PID控制的盾构液压推进系统同步性能分析

结合盾构液压推进系统结构特点,在多领域仿真平台Dymola上构建盾构液压推进模型。考虑到掘进过程中负载的多变性,设计了双模糊PID控制器,与PID控制的盾构液压推进模型进行对比分析,在此基础上,利用并行同步控制和主从同步控制策略,研究了盾构液压推进系统的位移和压力跟踪特性。结果表明:启动阶段,双模糊PID控制的启动推进速度平缓稳定;负载或速度突变时,双模糊PID控制下的液压推进系统均可实现推进速度和压力稳定控制,且速度和压力波动远小于PID控制模型,具有较好的压力和速度复合控制能力。通过对比四分区盾构液压推进系统的位移和压力跟踪特性,最大负载突变时,并行同步控制的位移跟踪偏差为0.68 mm,主从同步控制时为0.39 mm,降低了42.6%。由此可得,基于双模糊PID控制的盾构液压推进系统,采用主从同步控制策略具有更好的位移跟踪性能,可提高推进系统的同步控制精度。

Reliability Analysis on Repairable System with Dual Input Closed-Loop Feedback Link Considering Shutdown Correlation Based on Goal Oriented Methodology

Goal oriented( GO) methodology is a kind of success oriented system reliability analysis method and has been used widely.The repairable system with dual input closed-loop feedback link( DICLFL) considering shutdown correlation didn't make reliability analysis accurately based on existing GO methodology. So, a reliability analysis method used to deal with DICLFL considering shutdown correlation is provided based on GO methodology.Firstly, a new operator, which is used to describe DICLFL considering shutdown correlation,whose number is 1,is created and named as Type 9C operator. And then,the formulas of type 9C operator are derived based on Markov process theory. Finally,the new method presented in this paper is adopted to conduct the reliability analysis of an electro-hydraulic servo speed control system. The analysis result is compared with those of Monte Carlo simulation and fault tree analysis( FTA). The comparison results show that this new reliability analysis method based on GO methodology is feasible and meaningful for reliability analysis of repairable systems with DICLFL considering shutdown correlation.Meantime,it will be useful for more other applications.

Application of Single Neuron Adaptive PID Regulators with Auto-tuning Gain in Industrial Parameter(Pressure)Closed-loop Process Control Systems

A type of single neuron adaptive PID regulator with auto-tuning gain is proposed and applied to the work control of fans, waterpumps and air-pressers etc. in Handan Iron & Steel Compel China. The robusthess of induStrial parameter closed-loop process controlsystems is improved, and the work quality of the systems bettered.

Long-term stabilization of the optical fiber phase control using dual PID

We propose an approach of long-term stabilization of optical fiber phase by controlling a piezo-based phase modulator and a Peltier component attached to the fiber via a phase-locked loop( PLL) circuit w ith dual proportional-integral- derivative( PID) adjustment. With this approach,we can suppress the fast disturbance and slow drifting of optical fiber to satisfy the requirements of optical phase long-term locking. In theory,a mathematical model of an optical fiber phase control system is established. The disturbance term induced by environment influence is considered into the PLL model. The monotonous and continuous changing environment disturbance w ill cause a steady-state error in this theory model. The experimental results accords w ell w ith the theory. The steady-state performance,adjusting time,and overshoot can be improved by using the dual PID control. As a result,the long-term,highly stable and low noise fiber phase locking is realized experimentally.

A Novel Design of Fuzzy PID Controllers for Dual-Sensor Cardiac Pacemaker Systems

This work proposes to design a fuzzy proportional-integral derivative (FPID) controller for dual-sensor cardiac pacemaker systems, which can automatically control the heart rate to accurately track a desired preset profile. The combination of fuzzy logic and conventional PID control approaches is adopted for the controller design based on dual-sensors. This controller offers good adaptation of the heart rate to the physiological needs of the patient under different states (rest and walk). Through comparing with the conventional fuzzy control algorithm, FPID provides a more suitable control strategy to determine a pacing rate in order to achieve a closer match between actual heart rate and a desired profile. To assist the heartbeat recovery, the stimuli with adjustable pacing rate is generated by the pacemaker according to the FPID controller, such actual heart rate may track the preset heart rate faithfully. Simulation results confirm that this proposed control design is effective for heartbeat recovery and maintenance. This study will be helpful not only for the analysis and treatment of bradycardias but also for improving the performance of medical devices.

Closed-loop identification of systems using hybrid Box–Jenkins structure and its application to PID tuning

The paper describes a closed-loop system identification procedure for hybrid continuous-time Box–Jenkins models and demonstrates how it can be used for IMC based PID controller tuning. An instrumental variable algorithm is used to identify hybrid continuous-time transfer function models of the Box–Jenkins form from discretetime prefiltered data, where the process model is a continuous-time transfer function, while the noise is represented as a discrete-time ARMA process. A novel penalized maximum-likelihood approach is used for estimating the discrete-time ARMA process and a circulatory noise elimination identification method is employed to estimate process model. The input–output data of a process are affected by additive circulatory noise in a closedloop. The noise-free input–output data of the process are obtained using the proposed method by removing these circulatory noise components. The process model can be achieved by using instrumental variable estimation method with prefiltered noise-free input–output data. The performance of the proposed hybrid parameter estimation scheme is evaluated by the Monte Carlo simulation analysis. Simulation results illustrate the efficacy of the proposed procedure. The methodology has been successfully applied in tuning of IMC based flow controller and a practical application demonstrates the applicability of the algorithm.

Design of Dual Axis Laser Scanning Diameter Measuring Gauge System with PID Co

Dual axis laser scanning diameter measuring gauge system(DALSDMGS) with PID controller,which can be used for online non-contact diameter measuring and control on the hose,wire and rod production line,is introduced.The measure principle and im-plementation of this system are also presented.A PID control module with PID parameters tuning is included in the measuring and control system,which functions as a PID automatic controller of the diameter.

PID参数自整定条件下的液位控制系统设计研究

为了优化液位控制系统设计方案,将可视化分析、限定控制范围内自动化控制、串级控制3项技术融为一体,设计一套完整的液位控制系统。该系统采用PID参数自整定方法,创造液位控制条件,增加储油箱,设计双容液位控制系统,通过串级控制,以副控制环节带动主控制回路,提高液位控制精度。系统测试结果显示,本系统作业期间各项指标皆达到标准,PID参数整定条件下的控制效果良好。

计算机双PID控制技术在福建三钢水分控制上的应用

烧结过程中的水分稳定对生产有着关键作用,作为一个大滞后系统,三钢本部200 m^(2)烧结机混合料配水系统通过应用激光水分检测仪和流量测量的应用,采用计算机双PID控制技术,实现了由传统人工配水向自动配水的转变,经过最终调试和验证达到预期效果,自动控制在生产应用上起到了自动调节水分,稳定水分的作用。

机器人锅炉冷态空气动力场测量系统开发

针对锅炉冷态空气动力场试验自动化程度低、操作危险性大的问题,开发了机器人锅炉冷态空气动力场试验测量系统。系统下位机采用STM32芯片作为主控芯片,控制爬壁机器人的运动以及与上位机的信息交换,同时引入混沌线性惯性权重对粒子群优化模糊PID算法进行优化,并将改进后的算法作为机器人运动路径的控制策略,对于机械臂的控制引入D-H法。上位机为LabVIEW搭建的操作平台,通过嵌入双树复小波变换去噪算法,对采集到的风速信号进行降噪处理。结果表明:所提出的系统各个模块均可正常且稳定运行,与人工测试的误差保持在±10%,能够满足锅炉冷态试验的要求。

变速恒频风力发电系统风机转速非线性PID控制

针对变速风机非线性强、转动惯量大、转轴机械阻尼随转速变化的特点,提出了变速恒频风力发电系统风机转速非线性PID(nonlinear-PID,NLPID)控制策略,仿真研究表明,非线性PID控制响应快,超调小,受系统参数变化的影响较小,控制精度高,具有一定的适应性和鲁棒性。此外,该文设计了基于模糊规则切换的模糊PID-PID双模变桨距控制器,在此基础上对变速恒频风力发电系统在全风速范围内的运行进行了数字仿真研究。在高于额定风速时,通过变桨距控制器调节桨距角,系统能较好地将功率限制在额定值附近;在低于额定风速时,通过模糊推理,系统能够在免测风速的情况下给出转速参考信号,实现最大风能捕获或恒转速运行。

拖拉机线控液压转向系统的双通道PID控制仿真与试验

拖拉机线控液压转向系统采用的单杆液压缸具有非对称性,为了提高转向系统的控制精度,提出了双通道PID(proportional integral derivative)控制方法,对液压缸活塞杆伸出和缩回的运动进行分通道控制。基于Sim Hydraulics模块建立线控液压转向系统的物理模型,对转向轮的跟随响应、阶跃响应进行仿真试验;同时搭建了线控液压转向系统试验台,进行台架试验,从而分析双通道PID控制对转向系统的影响。仿真试验得出双通道PID控制的跟随误差为0.473°、响应时间为0.273 s,且左、右转向跟随误差基本一致,均优于单通道PID控制,台架试验结果与仿真试验的效果一致。结果表明,线控液压转向系统在双通道PID控制下响应快,跟随误差更小,具有良好的跟随性和较高的控制精度。

红外空空导弹导引头预定回路模糊PID双模控制研究

针对红外制导空空导弹导引头瞬时视场角小、对目标发现概率低的问题,提出了导引头预定回路模糊PID双模控制方案。首先对导引头伺服系统工作原理进行分析,建立其预定回路模型;其次,对预定回路分别采用常规PID控制和模糊PID控制进行了仿真对比分析;最后给出了预定回路的模糊PID双模控制模型,并进行了仿真验证,结果表明该方案能有效改善导引头动态性能,提高发现概率。

新型双温度反馈增量式PID控制器的设计

由于多数温控对象具有惯性大、滞后性强、非线性等特点,采用传统的PID控制方法很难达到高精度要求。本文在增量式PID控制器的基础上,设计出双温度反馈增量式PID控制器,并采用分段控制的方法,将其用于毛细管流变仪的实际控温系统,达到较高的控温精度,且方法简单易行,有较高的应用价值。

双离合器自动变速车辆换挡模糊免疫PID控制

双离器式自动变速器车辆的核心与难点是换挡过程离合器重叠控制。针对传统离合器控制系统难以适应系统的非线性和时变等特性,从而影响换挡过程离合器系统精确控制的问题,借鉴生物免疫反馈响应过程的调节作用和模糊逻辑推理的自适应性来实现离合器控制参数自整定,设计了基于模糊免疫PID的离合器控制策略。应用Simulink建立了双离合器式自动变速车辆换挡过程离合器接合数学模型和控制器仿真模型。仿真实验表明,基于模糊免疫算法的PID离合器控制器能更好地提高控制系统的精度和响应速度,并能适应离合器系统参数的变化,较好地提高了双离合器式自动变速器换挡过程的品质。

大型目标模拟器方位伺服电机的对偶自校正PID控制

大型红外成像目标模拟器方位伺服电机是一大惯量、变参数非标准装置 ,针对该电机的具体情况 ,提出了一种对偶自校正PID控制器。在每一自适应步 ,通过谱分解和在线求解Diophantine方程得到最优PID参数 ,然后基于双重指标进行对偶校正 ,得到一种既保持对偶效应 ,又十分简单易行的对偶自校正PID控制器 ;成功地消除了传统自适应控制系统的关断 (turnoff)、终止 (windup)和猝发 (bursting)等现象 ,收到了良好的控制效果。该控制器适于参数随机变化或快时变系统。