Study on Fuzzy Self-Adaptive PID Control System of Biomass Boiler Drum Water

The paper discusses the features of the Biomass Boiler drum water level. Conventional PID Control System can not reach a satisfaction result in nonlinearity and time different from Biomass Boiler Drum Water Control System. In this study, a kind of fuzzy self-adaptive PID controller is described and this controller is used in biomass boiler’s drum water level control system. Using the simulink tool of MATLAB simulation software to simulate the fuzzy adaptive PID and conventional PID control system, the result of the comparison shows that the fuzzy self-adaptive PID has the strong anti-jamming, flexibility and adaptability as well as the higher control precision in Biomass Boiler Drum Water.

Fuzzy adaptive PID control on hydraulic servo system of quadruped robot

Quadruped robot driven by high power density hydraulic device works in unstructured en- vironment. With variable load and various external disturbance, the hydraulic servo system has fea- tures such as nonlinear, time-varying parameters. Traditional control method has some limitation. In order to help the hydraulic servo system of the quadruped robot to adapt to harsh environments, and to obtain high control quality and control precision, an incremental fuzzy adaptive PID controller based on position feedback is designed to solve the related technical problems. Matlab/Simulink sim- ulation and experimental results show that the incremental fuzzy adaptive PID controller improves the dynamic performance of the system, enhances the respond speed and precision of the hydraulic ser- vo system, and has some theory significance and practical value.

The control of welding wire feed self-adaptive mechanism based on fuzzy PID

The welding wire feed mechanism is an important component of welding equipment, both reliability and stabilization are the premise that the welding quality can be ensured. The PID is currently adapted to control the welding wire feed mechanism, although the fuzzy PID has advantage of fast response and adaptation, the precision of fuzzy PID is lower. Accordingly, the fuzzy self-adaptive PID controller was proposed through changing fuzzy input variables and output variables based on variable universe, simple furwtion is adopted as scaling factor, the fuzzy PID controller parameters are adjusted to improve the precision and adjustment range. Simulation results show that control effects of fuzzy self-adaptive PID adopted by the welding wire feed mechanism have good adaptive ability and robustness based on variable universe, the welding experiments indicate that the welding quality met the requirements actually.

Design of Adaptive Fuzzy PID Altitude Control System for Unmanned Aerial Vehicle

Based on Matlab/Simulink and Fuzzy Logic toolboxes, the altitude control system is designed and simulated. The validity of conventional PID control method and adaptive fuzzy PID control method is compared. It can be drawn out that the adaptive fuzzy PID control method is superior to the conventional PID in rising time and overshoot etc. The effectiveness of a fuzzy PID controller shows potential application in the future, especially in the presence of model uncertainty or changing dynamics and time-varying parameters.

The Application and Simulation of Fuzzy Adaptive PID in Household Heating Metering System

After heat is metered in each house unit,the heating system is regulated by variable flow.The temperature of the return w ater is controlled to regulate the flow to realize the temperature regulation.According to the characteristics of the temperature control w ith big inertia,pure time-delay and degeneration,a fuzzy adaptive PID controller is designed w ith the advantages of the fuzzy control and PID algorithm,and the simulation model is established according to the characteristics of heating metering system.Simulation results show that the fuzzy adaptive PID controller proposed has small overshoot,short oscillation cycle,high precision and strong anti-jamming capability in comparison w ith conventional PID controller,w hich could meet the requirement of the dynamic and steady-state performance of the heating process.

基于PLC的换热站Fuzzy-adaptive-PID控制策略简析

在换热站供热控制系统中引用Fuzzy-adaptive-PID控制策略,实时调整二次网热水的温度。换热站采用工业控制领域应用最广泛的PLC座位控制核心,采集换热站各项参数,实时监测外接环境温度变化,控制一次网调节阀,自动调节二次网的温度,使其保持在用户需要的范围内。实测结果表明,利用西门子PID控制模块,结合Fuzzy-adaptive-PID控制策略,应用数据分析和计算,实现供热相关指标的预测,并且消除了系统迟滞性的缺点,运行指令直接下发到每一台换热机组,形成了完整的闭环控制,从而提高换热站的运行效率。

An Intelligent Adaptive Fuzzy PID Controller Based on Multimodel Control Approach

A novel intelligent adaptive fuzzy PHD controller based on multimodel control approach is presented in this paper.It can improve the system performance of the dynamic time- varying system at various operating conditions.The fuzzy PHD controller is implemented by combining a fuzzy PI with a fuzzy PD controller in a parallel structure. The parameters of the fuzzy PHD controller are linked, via analytical derivation, to the gains of the linear PID controller. The sum of error square is used as performance criterion to locate the model that best reresents the process among the multiple models, The desired control output to drive the process along the desired path is generated only by modifying the output scale factots GU_I and GU_D of the fuzzy PID controller, Among the prescribed models, the control signal of the nearestmmodel to the system is applied. The system can be driven to its original trajectory because of the robustness of the fuzzy PID controller, Computer simulation results show that the

An Adaptive Neuro-Fuzzy Inference System to Improve Fractional Order Controller Performance

The design and analysis of a fractional order proportional integral deri-vate(FOPID)controller integrated with an adaptive neuro-fuzzy inference system(ANFIS)is proposed in this study.Afirst order plus delay time plant model has been used to validate the ANFIS combined FOPID control scheme.In the pro-posed adaptive control structure,the intelligent ANFIS was designed such that it will dynamically adjust the fractional order factors(λandµ)of the FOPID(also known as PIλDµ)controller to achieve better control performance.When the plant experiences uncertainties like external load disturbances or sudden changes in the input parameters,the stability and robustness of the system can be achieved effec-tively with the proposed control scheme.Also,a modified structure of the FOPID controller has been used in the present system to enhance the dynamic perfor-mance of the controller.An extensive MATLAB software simulation study was made to verify the usefulness of the proposed control scheme.The study has been carried out under different operating conditions such as external disturbances and sudden changes in input parameters.The results obtained using the ANFIS-FOPID control scheme are also compared to the classical fractional order PIλDµand conventional PID control schemes to validate the advantages of the control-lers.The simulation results confirm the effectiveness of the ANFIS combined FOPID controller for the chosen plant model.Also,the proposed control scheme outperformed traditional control methods in various performance metrics such as rise time,settling time and error criteria.

基于Fuzzy-PID控制镜面露点仪程序的设计

在露点仪测量的过程中,气体的湿度变化对仪表的控制方式要求差别很大,目前需要人为的设定气体测量范围,该系统根据气体湿度的特点,设计了两种控制模式:高湿模式和低湿模式。同时为了防止两种模式切换的过程当中产生振荡,该系统利用施密特门原理设计两种模式切换程序,通过实验可以满足仪表使用的需要。

一种基于Fuzzy-PID控制的组播拥塞控制机制

针对现有实际通用组播(pragmatic general multicast protocol,PGM)拥塞控制方案难以适应网络的动态变化等不足,提出了一种基于模糊比例积分微分(fuzzy proportional plus integral plus derivative,Fuzzy-PID)控制的组播拥塞控制机制(fuzzy-PID-controlled multicast congestion control mechanism,FPIDMCC)。FPIDMCC在源端和接收端代表间运用Fuzzy-PID控制方案,使源端能快速响应网络拥塞,实时调整发送速率并使之趋于稳定,增强了对动态网络的适应性;此外,采用基于代表和中间节点反馈聚集相结合的方式进行反馈控制,可有效避免反馈爆炸。其中Fuzzy-PID控制方案结合了传统PID和模糊推理的优点,由模糊推理得到PID控制参数,减少了对系统模型的依赖性。仿真结果表明,FPIDMCC机制拥塞响应速度快、系统稳定性好、动态适应能力强。

车辆MR半主动悬架的Fuzzy-PID控制研究

模糊控制的优点是不需要掌握受控对象的精确数学模型,而车辆悬架系统是典型的时变、非线性系统,其建模困难并具有不确定性,因此模糊控制策略广泛地应用于车辆半主动悬架的控制系统。本文分析比较模糊与模糊PID复合控制策略对车辆MR半主动悬架的控制效果,得出采用在线分别针对调节PID控制器3个参数的模糊自适应PID控制策略的悬挂系统具有鲁棒性强,超调量小,抗干扰,调整时间短等特点。

一种新型Fuzzy-PID控制器的研究

设计了一种新型的Fuzzy-PID控制器,在模糊控制器部分加入了一个积分参数.对带有非线性环节的二阶系统进行了仿真控制实验,并与PID控制器进行了比较,实验结果表明其较好的控制性能和较强的自适应性.

水轮机调节系统的Fuzzy自整定PID控制及其仿真

介绍了水轮机调节系统的Fuzzy自整定 PID控制的系统结构、控制思想、控制算法以及基于 MATLAB的仿真系统的设计步骤和方法,最后对Fuzzy自整定PID控制和传统的PID控制的仿真结果进行了比较。

隧道窑温控系统中的参数自适应Fuzzy－PID复合控制

针对隧道窑温度控制的特点，提出了采用参数自适应Ｆｕｚｚｙ－ＰＩＤ复合控制方式，以解决系统中动、静态特征的相互兼顾问题。运行结果表明，该控制方式具有很好的鲁棒性和理想的稳态精度。

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Fuzzy Logic的PID自适应控制仿真

介绍了基于Fuzzy Logic的模糊控制原理,结合基于Fuzzy Logic的模糊控制和传统PID控制的优点,提出基于Fuzzy Logic的在线整定PID参数的自适应控制.Matlab仿真结果表明,控制系统具有很好的鲁棒性.

基于MATLAB的自适应FUZZY-PID控制器设计与研究

以MATLAB为工具,详细介绍了运用MATLAB进行自适应Fuzzy-PID控制系统设计的步骤和方法,并对自适应Fuzzy-PID控制器的鲁棒性进行了分析和论证,仿真研究表明自适应Fuzzy-PID控制器具有良好的适应性和应用前景。

可变论域自适应Fuzzy-PID控制器的设计与研究

针对常规模糊PID控制器由于论域固定带来的不足,提出了一种基于可变论域控制思想、具有自适应能力的Fuzzy-PID控制方法。通过变论域调整因子环节,根据系统响应各阶段的误差和误差变化,在线实时调整伸缩因子,从而改善量化因子、比例因子和模糊PID控制器的参数。该控制方法较好地解决了控制规则数量与控制精度间的矛盾,实现了论域随系统控制要求进行自适应伸缩。仿真研究表明,该控制方法具有自适应能力强,实时控制性能好的特点。应用结果表明,系统的鲁棒性、动态特性和稳态精度等明显优于常规模糊PID控制器。

基于自适应Fuzzy-PID控制的变截面板簧AGC控制系统

以PID控制作为调节系统的主要手段,提出了将模糊控制和PID控制结合起来应用于变截面板簧轧制控制系统的方法,构成了一个参数自整定的模糊PID控制器.通过模糊规则在线调解PID的各项参数,达到了改善系统性能的目的.Matlab仿真实验结果表明:控制系统的响应曲线性能较好,响应速度较快,超调量小,稳态精度高.

Smith预估自适应FuzzyPID控制器在乳化液温度控制系统中的设计

分析乳化液温度控制因时滞因素对系统造成的严重影响,提出采用模糊控制、PID控制和Smith预估方法相结合的控制方案,使系统的控制不仅有较好的鲁棒性和控制精度,而且对时滞长、非线性因素明显的控制对象亦有较好效果。MATLAB的Simulink软件仿真结果显示,该控制方案明显优于单一的模糊控制和PID控制,能够达到预期效果。