浅谈离心泵的变频调速

从理论上详细分析了离心泵变频调速的节能原理，通过调节方法的比较，得出了变频调速具有大幅度节能的优点。     

变频器恒压供气在水气车间的应用

简述风机变频调速节能原理及恒压控制方法,对我公司水气车间风机采用变频调速节能改造的措施和取得的节能效益进行分析,揭示了风机采用变频调速装置进行节能改造、恒压控制具有很大的实践空间。     

转子变频调速系统在大功率风机上的应用

转子变频调速系统是应用于高压大容量绕线式异步电动机节能调速领域中比较先进的调速系统，该系统应用于我公司二线生料循环风机，运行稳定可靠，调速持续、平滑、无级且精度高，节能效果明显。     

水泥行业中变频器应用经验

交流变频调速技术是20世纪80年代迅速发展起来的一种新型电力传动调速技术。变频调速器(以下简称变频器)用于交流异步电动机的调速具有调速范围大、机械特性硬、精度高和运行可靠等优点，因此在水泥行业中的应用越来越广泛，特别是在风机水泵的调速节能运行和软启动方面的作用就更加     

高频斩波串级调速系统在水泥厂的应用

高频斩波串级调速系统是应用于高压大容量异步电动机节能调速领域的一种比较先进的调速系统。该系统用于广安腾辉水泥公司窑尾风机电机，调速平稳，且具连续性和较高的精度，节能效果明显。     

变频调速技术在水泥厂的应用

0 概述 由于变频调速具有故障率低、调速精度高、保护功能多、节能效果显著等优点,是对直流调速、电磁滑差调速进行改造的最理想的选择。     

转子变频技术的应用优势

风机、水泵是应用最广泛的生产设备之一,耗电量大,造成电能浪费严重。金山热电厂采用河北泰达节能设备科技有限公司开发出的SAVER系列转子变频调速系统,此节能调速系统,具有极高的性能价格比,非常适合于高压大中功率风机、水泵电机的节能调速运行,效果显著,成绩斐然。     

煤矸石综合利用电厂泵与风机节能调速方式比较

介绍了几种常用电机的调速方式以及电机节能原理;重点分析了应用较好的内反馈斩波调速技术的原理、功能与特点,并与高压变频调速进行了对比,结果表明,前者具有维修方便、谐波污染小、工作效率高等优点,是综合利用电厂风机、水泵调速节能的首选设备。     

变频调速节能技术在煤化工企业中的应用

简述了变频调速技术的原理,并结合煤化工企业中的泵类、风机类设备,分析了其在采用变频调速技术后的功能实现情况和节能效益情况,分析结果表明泵类、风机类设备采用变频调速装置进行工艺调节、节能改造还具有很大的应用空间。     

变频调速技术在玻璃厂中应用的节能分析

本文简要地介绍了变频调速技术的节能原理，以玻璃厂为例，分析了变频调速装置在玻璃厂中应用的现状与效果，讨论了变频调速技术在玻璃工厂中的节能应用。     

煤炭地下气化燃烧过程影响因素及控制方法

通过对煤炭地下气化技术燃烧实现过程的分析，得到了气化剂性质，气化通道压力，湿度，流速等影响稳定燃烧控制的主要因素，并由此得出三种燃烧控制方法，重点是对供风系统调节方法的研究，目前，这些控制方法已在我国山东等现场得到实践和应用。     

气辅技术的注气控制系统设计

气辅技术能够克服常规注射成型和挤出成型中所固有的缺陷,具有一系列的优点。塑料成型过程中采用气辅技术只需增加一套气辅设备,其技术核心是气体压力控制系统。设计了一个基于多模态智能PID控制器的低压控制系统并进行了软件开发,结果表明,该控制系统可以实现对气压高精度的实时控制,为实现高压控制打下了坚实的基础。     

乙烯装置热泵联锁保护系统改造

10-K-650热泵机组自乙烯装置扩建投用以来，其联锁保护系统存在较多问题。该机组联锁保护由配套的PLC完成。由于维护人员对该套GE公司的PLC比较陌生，且其自身系统组态方面也不完整，机组在联锁方面遇到了很多无法确定度解决的难题。最后决定用现有装置ESD系统来实现热泵机组的联锁保护。文中着重阐述了10—K-650热泵机组的联锁保护系统改造的原理度实现的过程。     

多品种炭阳极焙烧的工艺研究

面对国内外阳极市场千差万别的阳极尺寸要求，大多数阳极生产厂家的焙烧生产线都比较固定。本文针对车间的实际，就如何改变原有的固定生产模式，建立适应多品种阳极焙烧的柔性化生产线进行了总结，重点对生产过程各环节的管理提出了许多切实可行的办法。表明现阶段对于基层的生产管理，还必须以科学管理的思想为指导，实行制度化管理为主；同时在管理、技术等方面必须不断的创新，对相关生产企业也有一定的参考价值。     

EFFECTIVE IMPLEMENTATION OF CONSERVATIVE MODEL BASED CONTROL ALGORITHM

Recently a digital control algorithm, known as Conservative Model Based Controller (CMBC) with superior performance compared to many other currently popular controllers was discussed in the literature. It provides offset-free performance; however a large number of terms will have to be included in the algorithm to achieve this. This paper describes two modifications to ensure zero offset with limited number of terms in the algorithm. These modifications are evaluated through simulation by considering a few typical first order with dead time (FODT) processes. Both modifications provide offset-free performance, and either could be employed depending on the nature of the process response data on hand.     

ADAPTIVE CONTROL OF A BATCH REACTOR

A globally stable adaptive predictive control system (APCS) is evaluated by application to a simulated PVC batch reactor. The reactor is run under APCS control with the objective of either temperature setpoint tracking or constant reaction rate. The batch nature of this system makes it possible to learn about the physical problem from successive runs. This knowledge is incorporated into the control strategy to improve the performance of the reactor. The problem of excessive manipulation of the control variable has been recognized and resolved by using control weighting. Performance of the adaptive technique is compared with previous results using self-tuning and PID control of the same reactor. APCS provides good, robust control despite the nonlinear dynamics of the system.     

注塑模伺服同步自动脱螺纹系统的改进

以含螺纹注塑件自动脱螺纹为目标,设计和改进了伺服同步自动脱螺纹系统。该系统通过伺服电机的转动带动推板推出注塑件,使用步进电机带动螺纹型芯脱出螺纹,控制两个机构之间同步的PLC系统经改进和优化,可有效解决自动脱螺纹机构与推板推出机构之间的同步问题,为进一步应用于实际注塑过程提供了依据。     

IMPROVING CONTROL PERFORMANCE OF MULTIVARIABLE SYSTEMS BY MODIFICATION OF THE PROCESS DEADTIME STRUCTURE

A new multivariate deadtime control algorithm was designed in a previous paper. This algorithm, while very efficient, was developed under the restriction that the deadtimes on the diagonal of the transfer function matrix are less than the others in each row. In this paper, we further investigate this restriction's effect on the performance of the control system, and show that this restriction can be achieved by rearranging the order of the input variables and adding artificial delays. Several examples demonstrate the significance of the results.     

SIMULATION AND EXPERIMENTAL IMPLEMENTATION OF A NEURAL-NETWORK-BASED INTERNAL-MODEL CONTROL STRATEGY ON A REACTOR SYSTEM

The use of inverse-model-based control strategy for nonlinear system has been increasing lately. However it is hampered by the difficulty in obtaining the inverse of nonlinear systems analytically. Since neural networks has the ability to model such inverses, it has become a viable alternative. Although many simulations using neural network inverse models For controls have been reported recently, no actual experimental application has been reported on a reactor system. In this paper we describe a novel experimental application of a neural network inverse-model based control method on a partially simulated pilot plant reactor, exhibiting steady state parametric sensitivity and designed to test the use of such nonlinear algorithms. The implementation involved the control of the reactor temperature under set point changes, disturbance rejection and set point regulation with plant/model mismatches. Simulation tests on the model of the system were also carried out to enable better design of the neural network models and to highlight the differences between simulation and actual online results. The online implementation results obtained were sufficient to demonstrate the capability of applying these neural-network-based control methods in real systems.     

APPLICATION OF ADAPTIVE PID CONTROL WITH GENETIC ALGORITHM TO A POLYMERIZATION REACTOR

This article describes the application of adaptive PID control with genetic algorithm (GA) to a jacketed batch polymerization reactor. This method was used to keep the polymerization reactor temperature at the desired optimal path, which was determined by the Hamiltonian maximum principle method. The reactor was simulated and the model equations of this jacketed polymerization reactor were solved by means of Runge-Kutta-Felthberg methods. A genetic algorithm can be a good solution for finding the optimum PID parameters because unlike other techniques it does not impose many limitations and it is simple. In this research, suitability of these parameters was checked by the integral absolute error (IAE) criterion. The control parameters in the PID algorithm were changed with time during the control of a polymerization reactor. It was seen that the genetic algorithm was able to tune the PID controller used in this system in terms of higher robustness and reliability by changing the parameters continuously.