混合步进电机的模糊控制研究

步进电机是非线性、时变、滞后的控制对象,容易受到环境因素的干扰,使得它在工业中的应用受到限制。为了提高两相混合步进电机的控制性能,论文结合模糊PID控制算法形成闭环控制,能够在线整定PID参数,改进了步进电机的控制方式以达到精确控制电机的目的,通过MATLAB仿真软件验证了该控制方法的精确性,并将该研究应用于柱塞式微量计量泵控制系统。     

基于模糊PID算法的空调机组温度控制

针对中央空调系统空调机组温度控制的非线性、滞后性及时变性等特点,设计了基于模糊PID算法的空调机组温度控制系统,实现了空调机组温度的实时在线控制.该系统选用MCGS组态软件实现系统运行状态的监控,使用西门子S7-1200 PLC进行现场设备控制.运行结果表明模糊PID控制器设计合理,有效改善了空调过程的调节品质,提高了空调机组的温度控制质量.     

自升式海洋平台多桩腿同步控制的研究

该文针对多电机同步控制系统的参数时变、非线性以及容易受负载扰动等因素,提出了基于相邻交叉耦合结构的BP神经网络PID控制算法,在Mathb/Simulink环境下搭建了多电机同步控制系统仿真模型.为实现自升式海洋平台升降过程的同步控制,在自升式海洋平台升降控制系统中引入了基于相邻交叉耦合结构的BP神经网络PID控制算法,经试运行表明,海洋平台升降过程中,同步性能好、系统可靠性高、结构简单、完全能够满足海洋平台的平稳升降要求.     

PLC在挤出机温度控制系统中的应用

针对在塑料挤出过程中温度控制的重要性，介绍了以可编程序控制器（PLC）为核心、采用比例积分微分（PID）算法的挤出机温度控制系统，并介绍了该系统软件的编程方法和技巧。     

基于BPNN-PID的风电机组桨距控制分析

变桨控制技术是风力发电机组的核心技术之一,开展对风力发电机组变桨控制方面的研究具有重要的理论和应用价值。根据风力发电机组在额定风速以上如何保持输出功率稳定和降低风轮转速波动的控制技术进行研究,在传统的变桨距控制策略基础上,提出了基于BP神经网络(Neural Network,NN)整定PID的控制策略,并在Matlab/simulink环境下对PID控制和BP神经网络控制相结合的复合控制系统进行建模与分析。对1.5MW风电机组的仿真验证了BPNN-PID算法的有效性,提出算法不仅能够解决传统PID控制器参数整定困难的问题,而且优化效率更高,可以得到优良的控制性能。     

压延机挂胶帘布厚度自动检测及控制系统（续完）

(接上期)5　控制系统中相关参数的数据采集及控制处理5 1　速度自动检测本控制系统中速度检测是通过对交流测速电机的信号进行采样,通过AC/DC转换变为标准电压信号,输入到计算机进行A/D转换,并通过软件进行线形化处理后,参与压延数据分析及控制。速度信号转换电路简图如图15所示。图15　速度转换电路5 2　帘布长度自动检测本控制系统中长度检测是通过对冷却后的帘布进行长度计量,传感器选用了台湾EHM A3型计长器。其测量精度为0.1m,该传感器输出信号为标准脉冲信号,并进行光电隔离后,直接送入计算机运算即可实现长度测量。长度信号转换…     

基于次最优模型降阶的自整定PID控制器

针对过程工业中含有振荡环节和大滞后环节较难控制的被控对象,设计了一种基于频域辨识的自整定PID控制器.该控制器采用次最优模型降阶算法,辨识出二阶加纯滞后的模型;然后基于给定的相位裕度和幅值裕度,整定出PID参数.并通过仿真实验表明对于不同的被控对象,自整定得到的PID参数均能取得较好的控制效果.     

Multirate control with incomplete information over Profibus-DP network

When a process field bus-decentralized peripherals (Profibus-DP) network is used in an industrial environment, a deterministic behaviour is usually claimed. However, due to some concerns such as bandwidth limitations, lack of synchronisation among different clocks and existence of time-varying delays, a more complex problem must be faced. This problem implies the transmission of irregular and, even, random sequences of incomplete information. The main consequence of this issue is the appearance of different sampling periods at different network devices. In this paper, this aspect is checked by means of a detailed Profibus-DP timescale study. In addition, in order to deal with the different periods, a delay-dependent dual-rate proportional-integral-derivative control is introduced. Stability for the proposed control system is analysed in terms of linear matrix inequalities.     

Underactuated fingers controlled by robust and adaptive trajectory following methods

Choosing an appropriate control scheme to alleviate nonlinearities and uncertainties is not a trivial task, especially when models are not easily available and practical evaluation provides the only means for actual performance assessment. Various factors can contribute to these nonlinearities and uncertainties, such as friction and stiction. Thus, this article investigates four different control schemes, namely PID, adaptive, conventional sliding mode control (SMC) and integral sliding mode control (ISMC) which are implemented in the Bristol Elumotion Robot Hand (BERUL) to analyse and overcome the aforementioned problems. The hand has five fingers with 16 joints and all fingers are underactuated. The implementation of the proposed control schemes are challenging since the BERUL fingers have significant friction, stiction and unknown parameters. The fingers are light in weight and fragile. Comparative performance characteristics have shown that the ISMC is the most suitable candidate to provide good experimental trajectory following and positioning control for underactuated BERUL fingers.     

Fuzzy PID control of space manipulator for both ground alignment and space applications

Considering gravity change from ground alignment to space applications, a fuzzy proportional-integral-differential (PID) control strategy is proposed to make the space manipulator track the desired trajectories in different gravity environments. The fuzzy PID controller is developed by combining the fuzzy approach with the PID control method, and the parameters of the PID controller can be adjusted on line based on the ability of the fuzzy controller. Simulations using the dynamic model of the space manipulator have shown the effectiveness of the algorithm in the trajectory tracking problem. Compared with the results of conventional PID control, the control performance of the fuzzy PID is more effective for manipulator trajectory control.