基于滑转率的拖拉机驱动防滑模糊PID控制算法仿真分析

对基于滑转率的拖拉机驱动防滑模糊PID控制算法进行了仿真分析。首先建立系统的数学模型,并用Matlab/simulink建立计算机仿真模型,然后设计系统的模糊PID控制器,并进行了仿真分析,观察控制效果,同时用PID控制算法、模糊控制算法进行仿真研究,分别进行响应性、抗干扰性、适应性的对比分析,对比发现,模糊PID控制算法较为合适。     

基于主轴回转误差的模糊自整定PID控制器设计

为解决常规PID调节器很难满足在线回转误差检测与控制要求的问题,以静压气体轴承回转误差控制系统为研究对象进行了探讨,提出了模糊自整定PID控制策略。根据模糊控制理论,运用常规PID控制器的设计方法,设计出了模糊自整定PID控制器,实现了PID控制器参数在线自调整。仿真试验表明,与传统的PID控制相比,模糊PID控制系统具有良好的稳定性和自适应能力。     

Majorizational Choosing of Several Different Fuzzy Counter Operator

Different fuzzy reasoning methods were made by choosing different fuzzy operater.This article generally introduced the basic structure of fuzzy controller,and gave several different fuzzy controllers,and compared and analyzed different fuzzy coumters in theory and computer simulating control and realized majorizational choosing of several fuzzy counters.     

温室内温度的模糊控制

根据温室温度的控制特点,提出了实现室内温度模糊控制的方法,设计了模糊控制器并进行了试验。结果表明,温室内温度的模糊控制有较为明显的衰减特性,能够把被控参数调节在设定值周围,参数的波动小,控制品质优于开关量控制。     

应用变论域模糊PID的直流电机调速系统

基于PID控制与模糊控制各自的优点,将模糊控制与常规PID控制相结合,并运用变论域的方法,设计了变论域自适应模糊PID控制器.然后,以直流电机为模型,实现对其转速的控制,使用Matlab进行可行性研究,并将其仿真结果与PID控制和模糊控制的仿真结果进行比较.结果表明,基于直流电机的变论域自适应模糊PID控制器的控制效果明显优于常规PID控制和模糊控制.     

5自由度机器人手臂模糊自适应控制

为了在一定的跟踪精度范围内且存在不确定性因素的情况下控制机器人跟踪设定的轨迹,给出了一种基于控制器输出误差法的自适应模糊控制法来控制机器人手臂.采用梯度下降法调节部分或全部参数以减小输出误差.该方法被应用于5自由度机器人控制系统中,仿真结果显示模糊逻辑控制器参数得到了实时调整,该方法有效.     

Real-time, volatile-detection-assisted control for microwave drying

A real-time, volatile-detection-assisted control system was designed for microwave drying. Detected volatile signals were integrated to a fuzzy logic algorithm to determine the drying temperature. A phase controller was used to automatically and continuously adjust the microwave power. A data acquisition unit with developed program was employed to integrate the entire control. Carrot samples were used in system tests. The results showed that the designed system could successfully achieve the desired temperature, power, and volatiles control and lead to acceptable product's quality.     

Real-time,volatile-detection-assisted control for microwave drying

A real-time, volatile-detection-assisted control system was designed for microwave drying. Detected volatile signals were integrated to a fuzzy logic algorithm to determine the drying temperature. A phase controller was used to automatically and continuously adjust the microwave power. A data acquisition unit with developed program was employed to integrate the entire control. Carrot samples were used in system tests. The results showed that the designed system could successfully achieve the desired temperature, power, and volatiles control and lead to acceptable product's quality.     

Fuzzy controller decreases tomato cracking in greenhouses

Sunlight heats the greenhouse air temperature during the day and can encourage tomato cracking and decrease marketable product. A fuzzy controller was designed to control greenhouse climate to reduce tomato cracking using as variables solar radiation, substrate temperature and canopy temperature. A movable shade screen reduced incoming radiation during warm and sunny conditions; meanwhile irrigation was controlled according to canopy and substrate temperature. The shade screen was opened or closed with a gear motor driven by a photovoltaic system. The motor controlled by a pulse width modulated inverter started softly decreasing its starting current. The fuzzy system injected additional water and nutrients between 12:00 and 15:00 h; irrigation cycles were removed during very cloudy days. Tomato cracking decreased from 52% to 17% using the fuzzy controller and canopy temperature never exceeded 30 °C.     

变桨距风力发电系统模糊控制

提出了一种基于灰色-ARIMA的金融时间序列智能混合预测模型。首先建立金融时间序列灰色预测模型,并采用PSO算法对灰色模型的三个参数进行优化;利用ARIMA算法对预测模型的残差进行分析,同时采用遗传算法对ARIMA的系数进行优化;最后用ARIMA的残差预测结果对灰色预测模型进行补偿。结果表明,以较好的精度拟合一段时期内MA＜107的时间序列,预测误差控制在5%以上,与单纯的灰色预测算法和神经网络算法相比,在平均绝对误差、均方根误差和趋势准确率三项评价指标上,具有明显优势。     

Fuzzy logic control of a multispectral imaging sensor for in-field plant sensing

The development of an in-field plant sensing system for a site-specific application can protect the environment from excessive chemicals and save management cost while maintaining productivity. A multi-spectral imaging sensor has been introduced and widely used for in-field plant sensing. In order for a robust performance of the spectral imaging sensor under changes in ambient illumination, image quality must be maintained for proper spectral image analysis. Image formation that is affected by camera parameters was identified, and a controller was developed to compensate varying image intensity and to obtain the desired image quality. A fuzzy logic control algorithm was applied to automatically adjust the camera exposure and gain to control image brightness within a targeted gray level. Slow convergence and oscillation were regulated by dynamic membership functions with different weights in each image channel. Images affected by illumination disturbance quickly converged into a desired brightness image within a maximum of five iterations over the entire range of camera gains in all three spectral image channels. An application of in-field plant sensing using the fuzzy logic image controller was evaluated on corn crops for nitrogen detection. The normalized spectral response of the sensor was inversely correlated to a chlorophyll meter with −0.93 and −0.88 in red and green channels, respectively. The development of an image quality controller using fuzzy logic enhanced the reliable performance of the in-field plant sensing system.     

基于规则自校正模糊控制器的交流伺服系统

提出了一种规则自校正模糊控制器，并将其用于交流伺服系统的控制中，设计了一种在线的模糊推是算法，使得模糊控制规则可以得到实时在线的调整。仿真结果表明基于规则自校正模糊控制器的交流伺服系统的性能较一般模糊控制交流伺服系统有了较大的改善。     

基于Zigbee网络的中华绒螯蟹养殖中溶氧量智能控制系统研究与应用

随着信息技术和规模化水产养殖的发展,传统的养殖模式将会逐渐被智能水产养殖所取代。构建了基于Zigbee的中华绒螯蟹养殖中溶氧量的智能控制系统,并着重研究了蟹塘的增氧控制算法,针对溶氧量变化的非线性、大滞后、不确定、大惯性等特点,提出了模糊RBF神经网络改进的PID控制策略,并通过Matlab进行模糊RBF神经网络控制器与常规PID控制器和模糊PID控制器进行仿真对比,同时在某中华绒螯蟹养殖基地进行模糊PID控制器和模糊RBF神经网络控制器进行应用实验对比,证明了模糊RBF控制器能够更好地满足中华绒螯蟹养殖溶氧量的控制要求。     

基于模糊技术的温度控制系统研究

以模糊控制理论为基础,TDN-ACS+计算机控制技术试验系统为平台,设计了一个基于模糊技术的计算机温度控制系统。该系统的核心模糊控制器,是一个在试验基础上设计出的控制规则表,其具有良好的控制效果,使整个温度控制系统结构简单、性能优良、易于实现。通过与传统P ID控制系统的试验比较,采用模糊控制器的温度控制系统,无论是在响应速度方面,还是在鲁棒性方面,均优于传统的控制系统。但由于模糊控制系统尚不具备自适应能力,因此不宜用于被控对象和系统参数易发生变化的系统。     

模糊控制在水产养殖监控系统中的应用

采用一种模仿人的控制策略的模糊控制方法,建立了模糊数学模型,设计了模糊控制器对水产养殖中养鱼池环境进行控制。结果表明:其在水质监控系统中具有较好的控制效果。     

基于改进型偏差耦合结构的多电机同步控制

针对现有的多电机同步控制方案难以满足高精度控制的要求和不能实现比例同步控制的局限性,提出一种带PI补偿控制的改进型偏差耦合控制结构,可适用于多电机完全同步和比例同步控制.针对永磁同步电动机非线性和强耦合特性,设计了自适应模糊滑模变结构控制器来实现永磁同步电动机的跟踪控制.建立了4台永磁同步电动机的同步控制仿真模型,仿真实验表明,所提出的多电机同步控制结构相对于带固定增益补偿的控制结构具有更高的同步控制精度.与PID和常规滑模控制算法相比,自适应模糊滑模控制策略具有更高的同步稳定性和更强的鲁棒性.     

基于模糊控制理论的温室茶树灌溉控制策略研究

水肥一体化技术在很大程度上弥补了原先灌溉手段的缺陷，其主要将施肥同灌溉相融合，其中提升灌溉的准确度具有十分重要的作用。结合模糊控制理论，针对茶树水肥一体化灌溉中的精确灌溉这一问题，设计温室茶树灌溉模糊控制系统，使用2019年9月1-20日有关于茶树的相关信息开展验证工作，通过结果我们能够发现该系统具备较为理想的调节作用。Matlab仿真结果研究表明，温室茶树模糊控制器能有效提高茶树对水的利用效率，为实现精确灌溉提供了可行性。     

基于模糊控制的育种水温控制系统研制

在已有的水稻温敏不育系水温处理系统的基础上,采用模糊控制技术对水池温度控制系统进行了改进,设计出了两输入单输出的模糊温度控制器.计算机仿真建模及试验结果表明,该温度控制系统动态响应性能良好,控制精度高,能满足系统控制要求.     

基于积分分离模糊PID的温度控制系统设计

针对温度控制系统采用传统PID控制方法易出现响应速度慢、超调量大、控制精度低等问题,提出了一种基于积分分离模糊PID控制的改进方法.阐述了该方法的工作原理,设计了控制器参数,并结合温室温度控制系统对该方法以及传统PID、模糊PID进行了系统性能实验的对比分析.结果表明,采用该方法设计的温室温度控制系统,有响应速度更快、超调量更小和控制精度更高等优点,具有较强的工程应用价值.     

育苗生产线气吸式播种系统模糊控制的研究

为保证气吸式播种系统的播种质量,对播种系统播种滚筒真空度的控制尤为重要. 该文简述了气吸式播种系统的构成及原理,并介绍了一种基于模糊控制方法的真空度自动控制系统,叙述真空度模糊控制器的设计思想,并对该二维模糊控制器采用MATLAB模糊工具箱进行动态仿真. 通过仿真研究可知,对气吸式播种系统播种滚筒真空度控制采用模糊控制的方法是可行的.