造纸过程计算机控制系统

本文叙述了一个造纸过程计算机控制系统，此系统通过控制和调节纸浆的浓度和流量，达到保持纸张的额定厚度和均匀性。实际应用表明，此控制系统能够满足高质量纸张的生产要求。     

纸浆洗涤过程双目标优化分布式控制系统

提出了一套新型纸浆洗涤过程DCS控制方案. 基本控制思想是: 通过控制真空洗浆机进浆流量和进浆浓度、黑液喷淋量、洗浆机液位和清水注入量来保证洗涤质量; 通过两步辨识法建立洗后浆残碱量和首段黑液波美度的神经网络模型, 并对清水加入量和产量进行双目标优化. 采用新华XDPS软件平台实现了纸浆洗涤过程的DCS控制. 系统已投入运行, 控制效果良好.     

模糊自适应整定PID控制在纸浆浓度中的应用

在造纸生产过程中,纸浆浓度的稳定调节是达到纸张质量标准的重要环节。为了克服传统PID控制的参数整定过程中耗时长、能耗高以及参数整定困难等问题,对模糊自适应整定的PID控制进行研究。模糊自适应整定PID控制以纸浆浓度以及纸浆浓度误差变化作为输入,利用模糊控制规则对PID参数进行在线自适应整定,以满足不同时刻的纸浆浓度误差和纸浆浓度误差变化对PID参数自整定的要求。利用传统的PID控制以及模糊自适应整定PID控制,分别对生产80 g/m~2以及有无扰动输入的纸浆浓度模型进行仿真。与传统的PID控制相比,模糊自适应整定PID控制不仅缩短了参数的整定时间,而且稳态性能好,调控性能也优于传统的PID控制。模糊自适应整定PID控制实现了纸浆浓度在线自适应参数整定,具有很好的应用价值。     

基于模糊切换的配浆过程智能控制研究

基于配浆浓度控制过程是一个突发干扰、时变以及超调量大的过程,设计了一种基于模糊切换的配浆浓度智能控制方法。该方法将模糊控制和免疫PID控制相结合,采用模糊切换方法实现了两种控制器的协调输出,兼顾了快速性、准确性和稳定性,抑制配浆过程中出现的突发干扰和超调量。实际运行结果表明,该算法提高了配浆过程中浓度控制的快速性,避免了系统超调量的影响,保证了系统的稳定性和鲁棒性,完全能满足配浆过程浓度的工艺要求。     

预测控制在绝干浆量控制中的应用研究

在造纸生产中把纸浆浓度和流量的乘积作为绝干浆量变量，控制策略将绝干浆量指标纳入控制器的设计，对浆流量和浓度采用综合控制，解决了造纸生产中难以控制的定量问题。应用结果表明，预测先进控制算法在解耦、克重指标、跟踪平稳性等方面表现出了良好的性能，表明了造纸对象上的成功应用。     

人造金刚石压机计算机控制系统的研制

采用计算机分布式控制对Y-500型6面顶压机生产人造金刚石的整个工艺过程进行全方位控制和监测,大大提高了压机运行的可靠性和精确度.PID控制、最优化控制和模糊控制技术的运用提高了温度和压力等人造金刚石生产中的重要技术指标的控制精度.组态技术的引用进一步提高了监控系统的先进性.重点介绍了金刚石压机计算机控制系统的软件和硬件设计方法及取得的好的技术指标和实际应用效果,系统具有良好的推广前景.     

制浆材近红外光谱在线检测系统设计

针对制浆木材原料主要理化指标现场快速检测的需要,以微型近红外光纤光谱仪为基础,设计了一套制浆材在线检测系统。该系统由制浆材光谱采集平台、光谱仪测控软件和光谱数据分析及管理软件三个部分组成。其中测控软件独立编译,光谱仪的通信接口函数模块化封装,以提高对不同型号近红外光谱仪的通用性,便于在实际生产中推广应用。通过实验模拟制浆生产过程检测表明,系统运行稳定、快速,检测结果达到工业质量控制要求,为制浆材在线快速检测提供了一种可行的解决方案。     

BMC54－1型纸浆浆量计量控制仪

由８０Ｃ５５２单片机和纸浆浓度、瞬时流量、温度变送器以及高精度电控阀门等构成纸浆浆量计量控制仪，对测量数据进行处理，能准确地实现纸浆绝干浆量的计量和控制。     

模糊自适应控制在加矾系统中的应用

介绍了模糊自适应控制的加矾系统的设计以及在长沙自来水二厂中的应用.通过对水厂加矾系统的研究,并且利用长沙自来水二厂和相关水厂的经验数据和实际运行中的一些数据,以原水的流量和浊度作为双输入,以投矾量作为输出,建立一个模糊控制数据库,并建立一个T-S模糊控制系统以实现基本控制.利用表格查询算法建立自适应控制调整系统,使得模糊控制系统在控制过程中自动地调整、修改,从而使系统的控制系统不断改善,达到最佳的控制效果.     

PLC混凝投药复合控制系统的设计

针对水厂混凝投药过程的非线性、时滞性等特点,设计了混凝投药控制系统。该系统采用流量比例前馈控制与模糊自整定PID串级控制的复合控制策略,以西门子S7-200PLC作为处理器核心。介绍了系统的工作原理、控制算法设计、硬软件实现方案。Matlab仿真结果表明,模糊自整定PID串级控制系统的超调量、调节时间和抗干扰能力明显优于常规PID串级控制;此外,由于系统增加了流量前馈控制,使加药量能随原水流量变化及时得到调整。     

静刀式纸浆浓度变送器流速补偿的研究

针对静刀式纸浆浓度变送器的流速补偿问题,建立了纸浆流速、纸浆动力粘度与剪应力之间的数学模型。在数学模型的基础上,提出了通过光学相关方法测量出纸浆流体的流速,再利用单片机根据纸浆流速与剪应力计算出纸浆浓度以实现流速补偿。最后,通过数学仿真验证了该方法可有效的抑制纸浆流速干扰给变送器测量精度带来的影响。     

Stability Analysis and Controller Design of Discrete Interval Type‐2 Fuzzy Systems

This paper is concerned with trajectory stabilization of a computer simulated model car with uncertain velocity via type‐2 fuzzy control systems. First, stability conditions of discrete interval type‐2 fuzzy control systems are given in accordance with the definition of stability in the sense of Lyapunov. Then, we approximate a computer simulated model car, whose dynamics are nonlinear and velocity is uncertain. A type‐2 Takagi–Sugeno TS fuzzy controller is designed to handle system uncertainty. The control rules, which guarantee stability of the system, are derived from the approximated model. The simulation results show that the type‐2 fuzzy control rules can effectively stabilize the car model.     

Modelling the software development process using an expert simulation system having fuzzy logic

This paper describes an intelligent computerized tool designed to aid managers of software development projects in planning, managing and controlling the development process of medium- to large-scale software projects. Systems dynamics is used to model and simulate the dynamic process of software development. The software development process is affected by some imprecise and vague variables that are treated as fuzzy variables. The simulation model is integrated with two expert systems. The fuzzy input variables to the system dynamics simulation model are handled by an input expert system having fuzzy logic. This expert system is designed to check the consistency of input variables. The simulation results are analysed by an output expert system having fuzzy logic. This expert system is designed to make recommendations based on experimentation with the simulation model.     

Adaptive fuzzy integral sliding mode velocity control for the cutting system of a trench cutter

This paper presents a velocity controller for the cutting system of a trench cutter (TC). The cutting velocity of a cutting system is affected by the unknown load characteristics of rock and soil. In addition, geological conditions vary with time. Due to the complex load characteristics of rock and soil, the cutting load torque of a cutter is related to the geological conditions and the feeding velocity of the cutter. Moreover, a cutter’s dynamic model is subjected to uncertainties with unknown effects on its function. In this study, to deal with the particular characteristics of a cutting system, a novel adaptive fuzzy integral sliding mode control (AFISMC) is designed for controlling cutting velocity. The model combines the robust characteristics of an integral sliding mode controller with the adaptive adjusting characteristics of an adaptive fuzzy controller. The AFISMC cutting velocity controller is synthesized using the backstepping technique. The stability of the whole system including the fuzzy inference system, integral sliding mode controller, and the cutting system is proven using the Lyapunov theory. Experiments have been conducted on a TC test bench with the AFISMC under different operating conditions. The experimental results demonstrate that the proposed AFISMC cutting velocity controller gives a superior and robust velocity tracking performance.     

A self-tuning fuzzy controller for a class of multi-input multi-output nonlinear systems

This paper presents a systematic design procedure of a multivariable fuzzy controller for a general Multi-Input Multi-Output (MIMO) nonlinear system with an input-output monotonic relationship or a piecewise monotonic relationship for each input-output pair. Firstly, the system is modeled as a Fuzzy Basis Function Network (FBFN) and its Relative Gain Array (RGA) is calculated based on the obtained fuzzy model. The proposed multivariable fuzzy controller is constructed with two orthogonal fuzzy control engines. The horizontal fuzzy control engine for each system input-output pair has a hierarchical structure to update the control parameters online and compensate for unknown system variations. The perpendicular fuzzy control engine is designed based on the system RGA to eliminate the multivariable interaction effect. The resultant closed-loop fuzzy control system is proved to be passive stable as long as the augmented open-loop system is input-output passive. Two sets of simulation examples demonstrate that the proposed fuzzy control strategy can be a promising way in controlling multivariable nonlinear systems with unknown system uncertainties and time-varying parameters.     

基于模糊PID控制的人工腿位置伺服系统设计与仿真

智能人工腿是机器人学和生物医学领域一个备受关注的研究课题,以前研制的智能人工腿,其汽缸内针阀开度的控制都是采用步进电机所构成的开环系统,位置精度不高,在本文中,我们将设计一个具有位置的速度反馈的闭环控制系统并引入基于Fuzzy推理的整顿PID控制策略,以提高控制系统的智能性,鲁棒性,快速性和准确性。本文首先概述了智能人工腿的控制原理和TMS320F240数字信号处理器（DSP）的主要特点,其次设计了一种基于Fuzzy-PID的直流电机位置伺服控制系统的结构,最后对该位置伺服系统进行了计算机仿真,结果表明,本文所提出的设计方法是正确的,可行的,可以有效地用于智能人工腿的行走控制。     

Robust adaptive fuzzy control of unknown chaotic systems

This paper presents a robust adaptive fuzzy control algorithm for controlling unknown chaotic systems. The control approach encompasses a fuzzy system and a robust controller. The fuzzy system is designed to mimic an ideal controller, based on sliding-mode control. The robust controller is designed to compensate for the difference between the fuzzy controller and the ideal controller. The parameters of the fuzzy system, as well as uncertainty bound of the robust controller, are tuned adaptively. The adaptive laws are derived in the Lyapunov sense to guarantee the stability of the controlled system. Numerical simulations show the effectiveness of the proposed approach.     

模糊逻辑控制在纸浆浓度调节中的应用

在纸浆浓度调节中,由于舆滞后及执行器的惯性,是动刀式浓度变送器采样周期长,采用数字PID调节将产生严重的滞后效应,难以收到令人满意的结果,该文用模糊调节取代PID调节,具有控制精度高,响应速度快,稳定性好的优点。     

基于T-S模型的Chua混沌系统模糊变结构控制

针对Chua混沌系统这一复杂的非线性系统给出一种基于T-S模型的模糊变结构控制律设计。首先采用T-S模糊动态模型描述非线性系统,得到混沌系统的全局模糊模型;然后采用Lyapunov稳定性理论设计出确保模糊动态模型全局渐近稳定的变结构控制器,将模糊控制与成熟的线性变结构控制相结合,来解决非线性系统控制问题。仿真验证了方案的有效性。模糊控制器简单,规则少。     

非线性时变时延系统的模糊采样最优控制

针对非线性时变时延系统,采用输入时延和自由权重矩阵方法研究模糊采样最优控制问题.应用T-S模糊系统表征非线性系统,控制器是零阶保持采样信号.由线性矩阵不等式给出最优控制准则,所设计的模糊采样控制器在闭环系统渐近稳定意义下可保证期望最优控制性能.最后,通过卡车拖车系统实验验证模糊采样控制设计方案的可行性.