摊铺机自动找平数字式控制器的研究

数字式控制器在摊铺机上的应用,不仅可以提高摊铺机的性能,降低系统成本,而且可以为实现摊铺机的智能化控制,建立完善的故障诊断系统打下基础,本从目前的应用现状出发,探讨了数字式控制器的研制现状,结构设计方案及其主要技术参数,同时也提出了几种实现方案。     

数字式控制器硬件电路设计

本文主要结合从数字式控制器总体功能结构进行分析,探究其元器件的电路设计。在POS设计中采用数字信号的转换,能够给数字式控制器元件带来更加完善的数字信息。该种数字式控制器硬件已经在国内得到初步应用,以下主要结合POS机应用中出现的问题对数字式控制器硬件电路设计问题进行简单探析,希望能够给以后的提供一些帮助。     

海洋数字式多功能静力触探探头的开发与应用

针对我国海洋资源开发利用不断发展的需求,研制了一种最大适水深度达2000m的海洋数字式多功能静力触探探头,从探头的机械结构、防腐、耐压密封、数据校正等方面进行了详细的介绍,在常规三桥探头的基础上扩充了探头倾斜、温度、土体摄像、电阻率等多项功能,并在探头内部集成了数据采集电路,实现了各通道传感器模拟输出的数字化转换,分析了数字式探头的优缺点。近两年来,自行研制的海洋数字式多功能静力触探探头在多个平台上获得成功应用,验证了探头的耐压密封性能、静动载性能以及真实性、可靠性。     

一种新型的新风机组数字式定风量风阀及其控制器

本文介绍了一种全新的数字式定风量风阀(Digital CAV-Constant Air Volume Damper)及其控制器的设计和应用,它解决了在某些场合的新风量随着时间段变化而有不同设定的需求(典型的区域包括医院,商场和办公区),控制器将按时间段测量、控制和显示新风机组风量值。按时间表控制新风量的设定值,是一种性价比很高的节约新风处理能源消耗的装置。     

基于STC89C52单片机的浴室温度控制系统

本文介绍了一种浴室水温控制器,利用STC89C52单片机作为核心控制部件,可以通过按键设定上限温度,下限温度,超过上限保温,低于下限加热,温度传感器选用高精度、高可靠的数字式温度传感器DS18B20,四位一体数码管显示温度值。     

拉,压试验机研制报告

拉、压试验机是为中小型混凝土预制厂而设计研制的钢丝(筋)抗拉强度及混凝土抗压强度的检测设备。经检验考核,此种拉、压试验机,性能好,精度高,完全达到设计要求。 一、概述 SLJ—50型数字式拉力试验机、SYSE—     

数字多功能专用消防给水设备控制器

介绍了一种数字多功能专用消防给水设备控制器,包括:可编程逻辑控制器,其上设置有控制指令接收端口、消防泵控制端口和变频控制端口,控制指令接收端口用于接收数字式控制指令,消防泵控制端口用于连接至消防泵主控制回路控制消防泵的启动或停止,变频控制端口用于连接至变频器控制变频器的运行;压力传感器用于连接在消防给水管网中以检测管网...     

单片机控制的火灾报警及自动喷淋系统

本系统是一种有简单、应用性强和智能化的火灾报警系统。该系统使用数字式温度传感器DS18B20,MQ-2型半导体可燃气体敏感元件烟雾传感器将火灾发生期间所产生的烟、温、光等信号以模拟量连同外界相关的环境参数一起传送给单片机AT89S52。该系统不断地向所监视的现场发车巡检信号,监视现场的温度、浓度等,并不断反馈给报警控制器,控制器将接到的信号与内存的正常整定值比较、判断确定火灾,若火灾发生了,喷淋装置自动执行喷水。     

CJ-I型数字式炮孔测角仪

为了提高矿山开采自动化水平,根据生产需要,我院研制了CJ-1型数字式炮孔测角仪(见图1),主要用来测量验收炮孔倾角。本仪     

智能配电仪表在楼宇自动化系统中的应用研究

1前言 变配电设备是大楼内的主要建筑设备之一，它为大楼提供所有的供电电源。供电质量和供电监测是智能楼宇对供电系统实施自动化管理的一个重要环节。目前在国内根据电力部门的要求，对大楼内的供电系统采用只监不控的原则。控制系统现场设备多为直接数字式控制器、电量变送器等。     

A hybrid LQR-PID control design for seismic control of buildings equipped with ATMD

This paper presents an efficient hybrid control approach through combining the idea of proportional-integral-derivative (PID) controller and linear quadratic regulator (LQR) control algorithm. The proposed LQR-PID controller, while having the advantage of the classical PID controller, is easy to implement in seismic-excited structures. Using an optimization procedure based on a cuckoo search (CS) algorithm, the LQR-PID controller is designed for a seismic- excited structure equipped with an active tuned mass damper (ATMD). Considering four earthquakes, the performance of the proposed LQR-PID controller is evaluated. Then, the results are compared with those given by a LQR controller. The simulation results indicate that the LQR-PID performs better than the LQR controller in reduction of seismic responses of the structure in the terms of displacement and acceleration of stories of the structure.     

Fuzzy-Logic-based control of payloads subjected to double-pendulum motion in overhead cranes

Overhead cranes are widely utilized. The use of overhead cranes suffers from the natural sway of payloads. The sway deteriorates not only safety but also throughput. Under certain operating conditions, the sway exhibits double-pendulum motions. The motions complicate crane control. A fuzzy inference model is entitled ‘single-input-rule modules’ (SIRMs). The SIRMs based model is preferable because it can decrease the number of fuzzy rules. This paper develops a SIRMs based fuzzy controller for transport control of double-pendulum-type systems. The controller includes six SIRMs that are dynamically weighted. Genetic algorithm (GA) is adopted to tune some parameters of the controller. Compared with other three controllers, i.e., passivity-based controller, sliding-mode controller and input-shaping controller, simulation results are presented to show the performance and effectiveness of the SIRMs based fuzzy controller for transport control of double-pendulum-type systems.     

Model-based airflow controller design for fire ventilation in road tunnels

This paper describes a new approach to design the proportional-integral-derivative (PID) controller of the longitudinal airflow velocity in road tunnels for fire situations. Our work shows clearly that the use of a proper model provides valid data for model-based tuning of tunnel controllers, which is demonstrated by real tunnel tests. The design uses the simplified mathematical model of airflow dynamics based on Bernoulli and continuity equations, which describe the airflow dynamics in one dimension. Optimizing controller parameters on site is very time consuming and this problem increases in the case of complex tunnels with several entrance and exit ramps, which typically have occurrences of traffic congestion. Our approach is based on the design of the controller through simulations, which use the mathematical model of airflow velocity in the tunnel. This approach spares a lot of work and time with the controller tuning within tunnel tests. Moreover, it can discover potential problems, which can occur during real instances of fire in the tunnel. The additional advantage of this approach is a possibility to simulate a scenario of errors and failures of some devices, which are important for reliable control of longitudinal airflow velocity. Although this approach is focused primarily on complex road tunnels, due to their complexity and significant time savings with the controller tuning, it can be also used for simpler tunnels with no ramps (usually highway tunnels) where the design of the airflow controller is not as complex compared to the case of road tunnels. This paper also includes a case study of the airflow controller design for the Blanka tunnel complex in Prague, Czech Republic, which is the largest city tunnel in Central Europe.     

Assessing the saving potential of blind controller via multi-objective optimization

This paper presents the results of computational experiments where multi-objective algorithms were used to tune a controller for blind movements in a residential building and a room of the LESO (Solar Energy and Building Physics Laboratory) experimental building. The blind controller, which is based on fuzzy logic, was optimized not only in terms of energy consumption but also in terms of thermal comfort. The goal is to show saving potential for intelligent blind controller in a real world example rather than in tailored idealized test rooms. Therefore, a state of the art simulation program with a multi-objective evolutionary algorithm was combined. It was found that with elementary control systems, like schedules for the lighting in a building, almost 40% of the energy could be saved. With the help of more advanced controllers this can be further increased. Also discussed in this paper are the results and the feasibility of implementing such a controller.     

Experimental analysis of simulated reinforcement learning control for active and passive building thermal storage inventory: Part 2: Results and analysis

This paper is the second part of a two-part investigation of a novel approach to optimally control commercial building passive and active thermal storage inventory. The proposed building control approach is based on simulated reinforcement learning, which is a hybrid control scheme that combines features of model-based optimal control and model-free learning control. An experimental study was carried out to analyze the performance of a hybrid controller installed in a full-scale laboratory facility. The first paper introduced the theoretical foundation of this investigation including the fundamental theory of reinforcement learning control. This companion paper presents a discussion and analysis of the experiment results. The results confirm the feasibility of the proposed control approach. Operating cost savings were attained with the proposed control approach compared with conventional building control; however, the savings are lower than for the case of model-based predictive optimal control As for the case of model-based predictive control, the performance of the hybrid controller is largely affected by the quality of the training model, and extensive real-time learning is required for the learning controller to eliminate any false cues it receives during the initial training period. Nevertheless, compared with standard reinforcement learning, the proposed hybrid controller is much more readily implemented in a commercial building.     

Reinforcement learning for energy conservation and comfort in buildings

This paper deals with the issue of achieving comfort in buildings with minimal energy consumption. Specifically a reinforcement learning controller is developed and simulated using the Matlab/Simulink environment. The reinforcement learning signal used is a function of the thermal comfort of the building occupants, the indoor air quality and the energy consumption. This controller is then compared with a traditional on/off controller, as well as a Fuzzy-PD controller. The results show that, even after a couple of simulated years of training, the reinforcement learning controller has equivalent or better performance when compared to the other controllers.     

模糊控制器在直接转矩控制系统中的应用

介绍了一种基于模糊理论的PI模糊控制器 ,作为直接转矩控制系统的速度调节器 ,论述了模糊控制器的生成。Matlab仿真验证表明 ,模糊控制器优于传统的PI调节器。     

Temperature control of multizone indoor spaces based on forecast and actual loads

This paper presents the design of a multivariable controller for zone temperature control. A two-zone building with a fan-coil heating system is considered and a multi-input controller is designed. The controller tracks the reference trajectories which are generated based on forecasted outdoor temperature and at the same time regulates the zone temperatures in response to the actual variations in outdoor temperatures. Results showing the closed-loop responses of the system under realistic operating conditions are given.     

Application of an integrated indoor climate,HVAC and showcase model for the indoor climate performance of a museum

This paper presents a case study on the performance based design of a HVAC system and controller of a museum. A famous museum in The Netherlands has reported possible damage to important preserved wallpaper fragments. The paper provides an evaluation of the current indoor climate by measurements, showing that the indoor climate performance does not satisfy the requirements for the preservation of old paper. To solve this problem we developed an integrated heat air and moisture (HAM) model consisting of models for respectively: the indoor climate, the HVAC system and controller and a showcase. The presented models are validated by a comparison of simulation and measurement results. The integrated model is used for the evaluation of a new HVAC controller design and the use of a showcase. It is concluded that it is not possible to satisfy the indoor climate within the recommended limits, exclusively by the use of a new control strategy. Furthermore in order to meet the recommendations, the wallpaper fragments should be placed in a showcase and a similar control strategy as presented in the paper, has to be implemented in order to limit the room air temperature change.     

摊铺机智能控制器的设计与研究

介绍了一种新型的摊铺机智能控制器的构成和设计,并给出了硬件框图和软件设计流程图。该控制器是摊铺机全电子控制系统中的一个最为重要的环节。实际应用结果表明,包括智能控制器在内的全电子控制摊铺机性能稳定,并且已经通过了专家组验收。