带补偿的塑料挤压机温度模糊控制

介绍塑料挤压机温度模糊控制系统的设计方法,采用变结构模糊控制算法解决大惯性延迟环节的温度控制,采用补偿算法解决多点加热温度耦合问题,获得较好的控制效果;该设计用于工控机集中控制塑料挤压机温控系统取得成功,温度控制响应速度快、控制误差小,且无超调;实验表明,该方法用于解决大惯性、强耦合的温度控制问题具有积极的效果。     

仿人智能控制在煤炉燃烧系统中的应用

将仿人智能控制理论(HSIC)应用于中小型燃煤锅炉燃烧控制系统，并给出了仿人智能控制器的设计。仿真结果表明：利用这种智能控制器可以提高燃烧系统的控制质量，降低环境污染。     

工业锅炉燃烧过程智能控制系统

针对典型的大时滞，非线形的工业锅炉燃烧控制系统．本文提出了一种基于PID神经元网络的工业锅炉燃烧控制系统．在仿真实验的基础上。对PID神经元网络控制与传统的PID控制进行比较和分析，仿真结果表明．PID神经元网络控制方法具有良好的鲁棒性和抗干扰性。其控制效果优于传统的PID解耦控制。     

改进遗传算法优化控制器参数的燃烧控制

主汽压和床温是循环流化床锅炉(CFBB)燃烧控制系统中两个重要的控制指标,直接影响着锅炉运行的安全性和经济性。常规PID控制大多采用人工凑试法来调整PID控制器参数,结果往往耗时且难以实现燃烧系统的实时控制。为了实现燃烧系统的实时控制,提出了一种改进遗传算法优化PID控制器参数的控制方案。在控制过程中,先利用前馈补偿解耦法对主汽压和床温进行解耦,再采用改进遗传PID控制器对两个对象进行独立控制。仿真结果分析表明,与常规PID控制相比,改进遗传算法优化PID控制器参数的控制方案可以有效地改善循环流化床锅炉燃烧系统的动态性能、稳定性能以及快速性能,并提高系统的控制品质。     

基于DCS系统的热水锅炉模糊PID控制系统

结合某热力公司46MW热水锅炉的燃烧控制改造工作,在DCS系统中,以锅炉出水温度为被控量,对锅炉炉排引入模糊控制与经典PID结合构成的复合模糊PID控制器进行出水温度的控制,解决了外界气温变化与锅炉燃烧实时调节的矛盾,实现了按需供热.     

Coal-fired utility boiler modelling for advanced economical low-NOx combustion controller design

This paper focuses on developing a control-oriented coal-fired utility boiler model for advanced economical Low-NO_x combustion (ELNC) controller design. Two boiler combustion models are proposed in this paper: one is a mathematical model describing the key dynamics of the real-time boiler thermal efficiency and the furnace one-dimensional NO_x concentration distribution under conventional fuel and overfire air operations; the other recast from the first model is a control-oriented grey-box model with a data-driven furnace combustion submodel. Simulation studies on static and dynamic properties of the first mathematical model indicate that the model can function as a real-time simulator for both advanced boiler combustion control laws testing and generating training and validation data for the control-oriented grey-box model. At the end of this paper, the control-oriented grey-box modelling procedure as well as an optional discrete time linear state-space model are summarised to facilitate model-based advanced combustion controllers design.     

基于PLC的锅炉燃烧模糊自寻优控制

锅炉控制系统是一个多变量、大时滞、干扰因素多的非线性时变系统,常规控制手段很难达到理想效果.针对燃煤热水锅炉燃烧系统普遍存在热效率低的问题,提出一种以炉膛温度为指标的风煤比模糊自寻优控制算法,并给出了基于西门子PLC的实现方法.实践表明,该方法能有效提高锅炉的热效率,实现锅炉的经济环保运行.     

基于模糊PID的母管制煤粉锅炉燃烧控制系统

母管制煤粉锅炉燃烧系统存在严重非线性及强耦合问题且模型不易确定,使用传统控制方法效果不佳.针对这种情况提出采用模糊PID控制方案,并针对T-230-2型锅炉燃烧系统的特点和控制要求,设计了一种模糊PID控制器,并可在线调整模糊控制器输出的PID控制器参数,从而达到优化PID控制器参数的目的,实现对"非线性、强耦合"系统的控制要求.通过Matlab仿真,对母管压力的鲁棒性和抗扰性进行了分析.结果表明,该控制器具有更好的控制效果,能有效地克服扰动,提高了系统的动态特性.     

发电机的非线性自适应逆推综合控制

发电机励磁和汽门系统是一个典型的多变量、非线性、强耦合、不确定复杂系统,其综合控制将会改善电力系统稳定性和动态品质,所以设计简单、有效的综合控制器既必要又困难.针对单机无穷大励磁与汽门系统,运用自适应逆推方法和系统的Lyapunov函数,获得了发电机的非线性综合控制器和参数替换律,文中给出了该控制器的具体设计步骤.由于在控制器设计中没有运用任何线性化方法,因而所得控制器充分利用了系统的非线性特性;同时考虑了发电机阻尼系数的不确定性,使得控制器对系统参数的变化具有很强的鲁棒性.数字仿真结果表明,所设计的控制器具有鲁棒性,并可有效地提高电力系统的稳定性.     

20T/H工业锅炉主汽压回路参数寻优自适应PID控制

本文给出了一个自适应PID调节器应用于工业锅炉燃烧系统控制的实例,为克服自适应 控制中所遇到的实际问题,采用了监控级专家控制.实际运行表明,该系统优于常规PID调节器.     

Neurofuzzy network modelling and control of steam pressure in 300 MW steam-boiler system

In boiler-generation system, steam pressure is an important factor affecting the total combustion system. A properly boiler system must maintain a desired steam pressure at the outlet of the drum. Modelling and control of 300 MW steam-boiler combustion system using neurofuzzy methodology is discussed in this paper. Associate memory network (AMN) is chosen to represent the nonlinear model of steam pressure system based on local mechanism model and dynamic experiments. With the established neurofuzzy model, a relative fuzzy PI controller is constituted. The performance of the control system has been verified by the simulation process and then tested on real-time process in distributed control system (DCS) under the setpoint tracking and load disturbance.     

电厂锅炉燃烧过程控制改进方案及实现

针对锅炉燃烧系统多变量、强耦合、大时滞的复杂特性,提出一种多变量时滞对象的控制方法,以动态风煤比的形式对燃烧过程实施先进控制。所实现的改进的多变量Smith预估算法有效地克服了模型失配对控制的不利影响;多模型智能控制解决了在负荷变化时对象模型的参数不确定性。对某热电厂锅炉燃烧过程的控制结果表明,该方法易于工程实现,适应性强,控制效果优于原DCS系统的PID控制。     

基于MATLAB/SIMULINK锅炉燃烧系统的双模糊控制仿真

针对锅炉燃烧过程十分复杂，难用准确的数学模型来描述以及常规方法的控制效果不是十分理想等问题，在分析常规的模型控制器的基础上，结合模糊逻辑控制理论，利用双模糊控制器控制，并在MATLAB/SIMULINK环境下进行了仿真研究，仿真结果表明，在控制器对锅炉的燃烧系统具有良好的控制性能。     

锅炉计算机控制系统

锅炉系统中用计算机自动控制,不仅能为操作人员提供可靠的数据信息,而且还能提供主要检测点的动态出面,它还具有可靠的多级报警系统,可提示故障点和维修措施。同时,计算机系统还能从宏观的角度调节锅炉燃烧,使整个锅炉燃烧系统从整体上协调运行,实现生产过程自动化。     

链条锅炉的节能控制系统研制

链条锅炉是重要的工业民用设备，针对大多数链条锅炉效率和自动化水平低下的现状，研制了一种适于链条锅炉的先进的节能自动监控系统。该系统运用PLC实现整体控制，运用变频器调节鼓风、引风和炉排电动机，运用工业计算机实现上位机监控。在控制系统中，常规控制和智能控制并存，在燃烧控制中采用模糊-PID复合控制器，同时，采用了风煤比在线自寻优控制策略，维持锅炉的最佳工况工作。该系统已经成功应用于白城机务段4台10t链条锅炉上，系统运行平稳，节能效果显著。     

Engine control unit PID controller calibration by means of local model networks

In this work a new approach for a fully automated calibration of nonlinear PID controllers and feedforward maps is introduced. Controller design poses a particularly challenging task in the application to internal combustion engines due to the nonlinear controller structure, which is usually prescribed by the manufacturer of the engine control unit (ECU). A dynamic local model network is used to represent the actual physical process as its architecture can beneficially be adopted for scheduling of the nonlinear controller parameters. The presented calibration technique uses a genetic algorithm to calibrate the nonlinear PID controller and a static model inversion to determine the feedforward map. Closed-loop stability is taken into account by incorporating a Lyapunov function. Finally, an example demonstrates the effectiveness of the proposed method.     

变比例因子模糊控制器在链式锅炉中的应用

针对供暖负荷主要受室外温度的影响,提出根据室外温度和地区计算温度设定链条炉供水温度的方法。由于链式锅炉燃烧系统具有时变、大惯性、大时滞和非线性的特点,传统的PID很难控制,一般的模糊控制器虽能基本达到控制要求,但会存在比较大的稳态误差。采用新型的变比例因子模糊控制方法,使供水温度很好地跟踪室外温度的变化,不仅超调量小,且有满意的稳态精度。在某地区供热锅炉燃烧系统中应用,取得了很好的控制效果。     

Thermal management in laminated die system

The thermal control of a die is crucial for the development of high efficiency injection moulds. For an effective thermal management, this research provides a strategy to identify a thermal dynamic model and to design a controller. The neural network techniques and finite element analysis enable modeling to deal with various cycle-times for moulding process and uncertain dynamics of a die. Based on the system identification which is experimentally validated using a real system, controllers are designed using fuzzy-logic and self-tuning PID methods with backpropagation and radial basis function neural networks to tune control parameters. Through a comparative study, each controller’s performance is verified in terms of response time and tracking accuracy under different moulding processes with multiple cycle-times.     

A variational approach to a problem in boiler control

The paper describes work done in examining a particular problem of boiler control. The overall approach is the consideration of the boiler as a unit in the frequency control of an electrical power system.

The possibilities of including frequency control within the economic scheduling program are limited by the ability of the individual set to follow large amplitude load demands fast. This limitation is real and has arisen due to the previous empirical methods of control system design for this system. The scope of the problem outlined demands a broad approach.

One section describes the derivation of a large analytic non-linear computer model of a natural circulation, non-reheat, boiler. Conclusions are drawn as to the relative importance of various factors, design parameters and existing controls, to the dynamic characteristics of this system.

From these results, an even simpler model structure can be derived. A deterministic criterion, reflecting, for a single set, the regulating requirement of the system is desired and the resulting variational problem in two controls and two state variables is solved.

Similarly a one control problem is solved and by programming the open loop “optimal” control strategy, as input to the large analytic computer model, the effects of model simplification are demonstrated.     

煤粉燃烧器在线监测系统的研究与应用

本文介绍了一套新型智能煤粉锅炉燃烧器在线监测装置的设计与应用。它通过安装在锅炉12个风管上的仪表元件测得不同的风温和风压,通过计算测得各风管的风粉浓度和动压,并通过转换将结果传到集散控制系统之中同时显示到操作站上,为锅炉燃烧的自动控制或手动控制提供科学依据,最终使锅炉平稳经济燃烧。该系统应用后,锅炉煤粉燃烧器各风管的流速、风温、动压值、浓度得到了实时监控,12个燃烧器供粉更加均匀,燃烧更加充分．它有效实现了各燃烧器喷口的出口风速和煤粉浓度的合理配置,保证了煤粉锅炉各个燃烧器的出力均衡,使锅炉运行更加平稳、经济。