Self-adaptive fuzzy controller with formulary rule for servo control of discharge gap in Micro EDM

In micro electrical discharge machining （micro EDM）, it is difficult for servo controlling the narrow discharge gap with the characters of non-linear and quick change. In this paper, aiming at solving the problems above, a self-adaptive fuzzy controller with formulary rule （SAFCFR） is presented based on the dual feedbacks composed by gap electric signal and discharge-ratio statistics. To ensure the properties of self-optimizing and fast stabilization, the formulary rule was designed with a tuning factor. In addition, the fast-convergence algorithms were introduced to adjust control target center and output scale factor. In this way, the normal discharge ratio can tend to the highest value during micro-EDM process. Experimental results show that the proposed algorithms are effective in improving the servo-control performance. According to the drilling-micro-EDM experiments, the machining efficiency is improved by 20% through applying SAFCFR. Moreover, SAFCFR is a prompt way to optimize parameters of discharge-gap servo control.

Application of Fuzzy Control to Improve Flow Balance of Multi-Cavity Hot Runner System

In this study, we propose a new temperature compensation control strategy for a multi-cavity hot runner injection molding system, At first, the melt filling time of each cavity can be measured by installing temperature sensors on the position around end filling area, and filling time difference between the various cavities can be calculated. Then the melt temperature of each hot nozzle can be adjusted automatically by a control strategy established based on the Fuzzy Theory and a program compiled with LABVIEW software. Temperature changes the melt mobility, so the adjustment of temperature can equalize the filling time of the melt in each cavity, which can reduced the mass deviation between each cavity and make product properties of each cavity consistent. The conclusion of the experiment is as follows： For this contact lens box of a four-cavity Hot Runner mold, by applying hot runner temperature compensation control system, time difference can be reduced from 0.05 s to 0.01 s at each cavity, and the mass Standard deviation of the four cavity can be improved from 0.006 to 0.002. The ratio of imbalance can be reduced from 20% to 4%. Hence, the hot runner temperature compensation control system has significant feasibility and high potential in improving melt flow balance of multi-cavity molding application.

Research on Fuzzy Control for Automatic Transmission of Tracked Vehicles

A principle of fuzzy control for tracked vehicles is proposed to make its automatic transmission system be able to adapt complex running conditions, and a model of its power train is established to be used in simulation. Based on the fuzzy control method, a fuzzy shift control system composed of a basic shift strategy and a fuzzy modification module is developed to improve the dynamic characteristics and cross-country maneuverability. Simulation results show that the fuzzy shift strategy can improve the shift quality under manifold driving conditions and avoid cycled shift effectively.Therefore, the proposed fuzzy shift strategies are proved to be feasible and practicable.

Simulation and analysis of a Truck Model’s ride comfort based on fuzzy adaptive control theory

This paper tried to analyse and verify the fuzzy adaptive control strategy of electronic control air suspension system for heavy truck. Created the seven-freedoms vehicle suspension model, and the road input model; with Matlab/Simulink toolboxes and modules, built dynamical system simulation model for heavy truck with air suspension, fuzzy adaptive control model, height control model for air spring, and intelligent control and analyse on root mean square value of acceleration of gravity center of the vehicle under excitation of road. Results show that the fuzzy control had less help to the body vibration on the better pavement, but had the better benefit on the bad road, and the vehicle’s root mean square value of acceleration of gravity center is less than passive suspension’s obviously.

Research on Robust Control of Nonlinear Fuzzy VSS for Spacecraft

The nonlinear dynamic system of spacecraft with uncertainty and coupling is analyzed and its general dynamical equation is given.The decoupling-ability and controllability are proved.Aiming at this system,a new nonlinear decoupling controlling method is put forward by synthetically using the variable structure and fuzzy theory.The simulation results show that this method is effective in tracking performances under the existence of uncertainty and outer disturbance.

Research on Airborne Electro-Optical Tracking and Sighting System Based on Fuzzy PID and H_∞ Control

Airborne electro-optical tracking and sighting system is a three-degree-of-freedom angular position servo system which is influenced by multi-disturbance,and its control system consists of stabilizing and tracking components.Stabilizing control is applied to track angular velocity order and control multi-disturbance under airborne condition,and its robustness should be very good;tracking control is applied to compensate tracking error of angular position.A mathematical model is established by taking the control of yaw loop as example.H∞ stabilizing controller is designed by taking the advantage of H∞ control robustness and combining with Kalman filter.A fuzzy control is introduced in general PID control to design a decoupled fuzzy Smith estimating PID controller for tracking control.Simulation research shows that the control effect of airborne electro-optical tracking and sighting system based on fuzzy PID and H∞ control is good,especially when the model parameters change and the multi-disturbance exists,the system capability has little fall,but this system still can effectively track a target.

气吸式电动红豆播种控制系统设计与试验——基于模糊PID

为解决高密度作物播种时不均匀等问题,设计了一种基于模糊PID的气吸式电动红豆播种控制系统。对排种电机进行了数学模型建立,利用MatLab 2020b/Simulink进行系统仿真,通过对比模糊PID系统和PID系统的控制性能验证设计的优越性。仿真试验表明:模糊PID相较于PID超调量降低了18.82%,调节时间缩短了0.5357s,稳态误差也减少了0.0192,各项指标得到了提升。台架试验结果表明:模糊PID播种控制系统比PID播种控制系统合格指数总体提高了2.21个百分点,重播指数总体下降1.1个百分点,漏播指数总体下降1.3个百分点,变异系数总体下降6.55个百分点。模糊PID播种控制系统各项性能指标都优于PID播种控制系统,播种精度指标均满足国家标准。

基于恒力矩的自适应加工控制系统设计

切削力对加工质量和加工效率有着重要影响,针对切削力直接测量困难的问题,以高效稳定切削为目标,提出一种主轴恒力矩的自适应加工控制技术方案。以铣削加工为对象,在推导电磁力矩与切削参数关系的基础上应用Simulink建立了基于主轴电机矢量控制的自适应铣削加工模型,以恒电磁力矩为目标,采用模糊自适应控制策略对加工模型开展仿真实验,同时开发了自适应加工系统进行切削实验,两种实验结果均表明所提方法相较于传统的PID自适应加工方法具有更高加工效率、更好加工稳定性和更低的主轴负载波动。建立了虚实结合的自适应加工控制系统,有效降低了系统开发成本,虚实实验结果相互印证,提高了所提技术方案的可信度,该方案具有良好的工程参考价值。

直播稻苗期自动灌排系统的设计与试验

【目的】提高直播稻成苗率,依据直播稻苗期田面水分的农艺要求,设计一种适用于直播稻苗期的自动灌排系统,并验证其田间应用效果。【方法】设计适用的微喷灌溉方案和排水装置,通过LoRa通信对各设备进行无线组网控制,基于模糊控制算法制定了适用于直播稻苗期的灌排制度,从而实现自动灌排系统的各项功能;以控制系统性能指标、排水装置性能指标、苗期田面湿润状况和成苗率作为评价指标验证其应用效果。【结果】①控制系统设备动作延迟为0.398 s、系统决策时间为1.348 s、系统信息监测偏差为±1.48%;②自动排水装置启闭时间4~6 s、待机电流21.7 mA;③采用本研究的方法进行自动灌排,在苗期(播种后的15 d内)土壤水分保持在85%以上,田间成苗率达到83.9%。【结论】直播稻苗期自动灌排系统在保证高效低功耗的情况下实现了精准控制田面土壤水分,可保持田面湿润并达到合格的成苗率,有较好的田间应用效果。

PLC技术支持下的机电一体化设备智能控制研究

设计一种基于PLC的定型机温度控制系统,使用MATLAB实现模糊控制,对传统的PID控制进行优化。通过对比模糊控制PID和传统PID的性能,发现模糊控制下的PID具有更强的鲁棒性,调节时间更短,而且超调仅为0.1%,与传统PID控制13%的超调相比拥有非常明显的优势;引入干扰后继续模拟,模糊控制下的PID可以更快、更平滑地完成对温度的调节,具有更高的稳定型和鲁棒性,能够较有效满足织物生产的控制需求。

基于模糊控制技术的煮糖过程控制系统研发

针对制糖工业生产效率和产品质量提升的需求,开发了一套基于模糊控制技术的煮糖过程控制系统。该系统利用可编程逻辑控制器(Programmable Logic Controller,PLC)技术作为核心控制单元,并结合专家知识和工人经验,通过控制糖浆过饱和度、真空度、温度、入料浓度和糖膏锤度等关键参数,实现了煮糖过程的自动化控制。系统有效解决了传统煮糖过程中存在的自动化程度低、能耗高、产品质量不稳定等问题,显著缩短了煮糖时间,减少了煮水次数,降低了能耗和生产成本,减轻了工人劳动强度,提高了生产效率和产品质量,从而有效增强企业的市场竞争力。

应用模糊自适应控制算法的单片机实时电力系统监控

当前,电力系统日益复杂,对其进行实时监控与控制的重要性愈发凸显。为了改善电网运行的可靠性与经济性,本文提出了一种以单片机为核心的实时电力系统监控系统。在此基础上,提出了一种基于单片机的模糊自适应控制算法,使系统能够在较短时间内对电网的运行参数进行在线调节与优化。该系统通过对实时数据的采集,实现了对系统状态细微变化的识别,并对其进行相应控制,以实现对电网整体性能的优化。

电力自动化控制系统中的智能技术应用

阐述智能技术在电力系统自动化控制中的应用,包括专家控制技术、模糊控制技术、神经网络控制技术的应用。随着技术应用的越来越成熟,未来可能实现三项技术的融合应用。

电力控制系统中的智能技术应用

阐述电力自动化控制系统中的智能技术特点,探讨智能控制系统的应用,包括专家控制系统的应用、模糊逻辑控制技术的应用、人工神经网络的应用、综合智能系统的应用。

自适应模糊PID的乒乓球发球机控制系统研究

乒乓球发球机存在精度不高的问题。针对此问题,本文设计了一种基于自适应模糊PID的乓乓球发球机稳定控制系统,通过稳定直流有刷电机的转速,从而使得每一个被发射的乒乓球,出球速度保持一致。首先利用Matlab/Simulink工具箱搭建仿真平台,验证模糊PID较传统PID算法具有更佳的控制性能,然后以STM32微处理器为核心,霍尔编码器检测出球电机转速,上球电机补偿出球电机转速。设计并实现了基于模糊PID算法的硬件实验电路。实验结果表明,相较于传统PID算法,乒乓球落点误差可以精确在±7.0 cm,提高了22%,乒乓球出球电机响应速度由4.7 s降低到了1.66 s,受到干扰时,系统达到稳定的时间由1.76 s降低到1.64 s。

结合BIM技术与模糊综合评价的精细化建筑施工策略设计

随着建筑工程项目的日益复杂化,传统的施工管理模式在应对多变的施工环境和精确控制施工质量方面表现出诸多局限。为此,研究结合模糊综合评价方法与建筑信息建模技术,提出了一种精细化建筑施工策略。利用层次分析法创建施工质量监测指标体系,应用建筑信息建模技术对施工过程中的各环节进行质量管理,最后建立模糊综合评价模型。研究结果表明,经过精细化质量控制后,钢筋、混凝土和铝模的合格率分别提升了6.8%、10.1%和6.8%,材料损耗分别减少了2.8%、3.9%和3.8%。同时,该方法在造价目标方面也体现出了良好的效果,证明研究提出的策略在提升施工质量和资源节约方面的有效性,为提高建筑施工质量、减少资源浪费提供重要的理论支持和实践指导。

基于模糊PID的化工企业仪表自动化控制技术研究

本文提出了基于模糊PID的化工企业仪表自动化控制技术。首先,对化工企业的仪表自动化控制进行分析,明确存在的问题和挑战。然后,对模糊PID控制技术进行深入研究,并提出基于模糊PID的新型控制算法。为了验证所提出的控制算法的有效性,进行了一系列的仿真和实验。结果表明,与传统PID控制相比,模糊PID控制在各项性能指标上均有较大的改善,验证了该算法在实际化工企业中的应用潜力。

基于优化PID算法的掘进机截割头位置控制方法研究

针对传统悬臂式掘进机截割头位置控制方法存在精度较低、控制性能较差、输出响应时间较长、系统抗干扰能力较弱等问题,研究了悬臂式掘进机位置控制技术,分析了悬臂式掘进机结构组成,搭建了掘进机截割头运动学模型。提出模糊PID控制并优化PID控制器,在MATLAB中进行仿真研究。结果表明,优化后的PID控制器输出响应时间由0.45 s缩短到0.32 s,系统的响应速度和抗干扰能力都明显提升,采用模糊PID控制算法使得系统输出响应较快、超调量小,系统稳定性大大提高。研究结论可为悬臂式掘进机智能化控制的相关研究提供一定的理论参考。

基于模糊PID的煤矿通风机节能控制研究

针对煤矿通风机械设备能耗大、运行效率低等问题,提出一种基于模糊PID的煤矿通风机节能控制方法。以煤矿通风机结构为基础,为采集矿井内的实时环境信息,利用风速、负压和一氧化碳传感器组成在线监测系统;根据变频器选择要求,选用恒转矩负载变频器,分析变频器工作过程;确立模糊PID控制算法流程,生成模糊规则表,得出控制参数的整定公式,即控制结果;根据输出值控制变频器频率,进而调整通风机的功率,实现通风量自适应调节,达到节能通风目的。实验结果证明,该技术能够在变频工况下满足通风量需求,不会出现通风量过大或过小的情况,在确保矿井作业安全的同时,降低了机械设备能源消耗。

基于嵌入式技术的轻小型落地抱杆自动控制系统研究

该文在分析轻小型落地抱杆结构的基础上,设计基于嵌入式技术的轻小型落地抱杆自动控制系统框架,由基础数据单元采集轻小型落地抱杆运行数据后,控制单元的嵌入式主控制器调用变频调速控制程序实现起升电机运行速度的控制,通过模糊PID控制器实现吊钩负载转矩补偿控制,并利用粒子群算法对控制器参数作在线实时整定,通过CAN总线将控制指令下达给各工作机构,并利用以太网实现与远程控制中心的信息交互。实验结果表明,该系统可实现轻小型落地抱杆自动控制,控制后的阶跃响应曲线平滑、超调量低,控制时间短,输出的模拟电压曲线走势稳定、平滑度高,不存在振荡问题。