电脑绣花机换色电机控制器设计方案

简要介绍了电脑绣花机换色机构机械执行部分的原理,然后在原理分析的基础上考虑怎样实现换色检测,在此基础上设计出换色电机控制器的软硬件。该控制方案已经用于电脑绣花机系统中,保证换色的可靠性。     

混合动力汽车中开关磁阻电动/发电机纯硬件控制器的研究

针对混合动力汽车中开关磁阻电动(发电)机工作环境恶劣和软件控制抗干扰能力较低的特点,提出了以单片复杂可编程逻辑器件(CPLD)为基础的纯硬件电路实现开关磁阻电动/发电机系统的硬件控制方案.试验结果表明,以CPLD为基础的硬件控制器可以有效地实现控制系统的电动、发电、助力功能,并且具有较高的容错能力及良好的动态调节性能.     

基于C51的永磁无刷电动机控制器设计

介绍了以C51为核心的30 kW永磁无刷电动机控制器的设计.主要内容包括PWM斩波电路结构和功率开关器件的选择,以及驱动电路、保护电路和软件设计等.试验结果表明,这种控制系统具有较好的可靠性和动态性能.     

浅谈Struts框架

阐述了Struts的工作原理和体系结构,并给出了一个实例.     

Developments of fuzzy PID controllers

Abstract: This paper describes the development and tuning methods for a novel self-organizing fuzzy proportional integral derivative (PID) controller. Before applying fuzzy logic, the PID gains are tuned using a conventional tuning method. At supervisory level, fuzzy logic readjusts the PID gains online. In the first tuning method, fuzzy logic at the supervisory level readjusts the three PID gains during the system operation. In the second tuning method, fuzzy logic only readjusts the proportional PID gain, and the corresponding integral and derivative gains are readjusted using the Ziegler–Nichols tuning method while the system is in operation. For the compositional rule of inferences in the fuzzy PID and the self-organizing fuzzy PID schemes two new approaches are introduced: the min implication function with the mean of maxima defuzzification method, and the max-product implication function with the centre of gravity defuzzification method. The fuzzy PID controller, the self-organizing fuzzy PID controller and the PID controller are all applied to a non-linear revolute-joint robot arm for step input and path tracking experiments using computer simulation. For the step input and path tracking experiments, the novel self-organizing fuzzy PID controller produces a better output response than the fuzzy PID controller; and in turn both controllers exhibit better process output than the PID controller.     

Receding Horizon Optimization Approach to PID Controller Parameters Auto-tuning

A novel supervised receding horizon optimal scheme is presented for discrete time systems in the process control.In the employing level,PID controller is used,while the receding horizon approach is applied to the optimized level.The considered problem is to optimize the employing level PID controller parameters through minimizing a generalized predictive control criterion.Compared with a fixed parameters PID controller,the proposed algorithm provides well performance over a range of operating condition.     

Generalized neuron-based PSS and adaptive PSS

Artificial neural networks can be used as intelligent controllers to control non-linear, dynamic systems through learning, which can easily accommodate the non-linearities and time dependencies. However, they require large training time and large number of neurons to deal with complex problems. Taking benefit of the characteristics of a Generalized Neuron that requires much smaller training data and shorter training time, a Generalized Neuron-Based Power System Stabilizer (GNPSS) and an adaptive version of the same have been developed. The objective of this paper is to compare the performance of the GNPSS with that of an adaptive version, the weights of which are updated on-line.     

PLC在生产膨化食品片材中的应用

本文介绍了PLC在生产膨化食品片材中的应用,控制系统基于SIMATIC S7-200PLC和MD204L文本显示器。论述了生产工艺要求,控制系统的硬件组成和软件设计。     

单片机80C51在变电站自动减载控制系统中的应用研究

由于拉闸限电,使用电单位内一些较重要部门的供电也不能得到保障。本系统即使用单片微处理器80C51设计一个应用于10Kv/0.4Kv系统的自动减载装置。此装置能在变电站用电总负荷超标时自动断开一条或多条非重要负荷的供电线路,使本站的用电总负荷被限制在一个给定的容量范围之内。这样可以使上一级变电站不至于因用电紧张而拉闸。     

An approach for the robustness comparison between piecewise linear PID -like fuzzy and classical PID controllers

The comparison of the stability robustness between the classical PID controller and two piecewise linear PID-like fuzzy controllers to the variations of the parameters in the second order plant is provided in this paper. The definition of a stability robust controller (to the parameter variations of the plant model) is presented. Then Kharitonov’s theorem is applied to find the regions of robustness to the parameter variations for the control systems with different controllers. Based on the size of regions of robustness, the relative robustness factor is defined, and the robustness comparison is provided. For every classical PID controller with gain coefficients determined and fixed, it is shown that we can always design the piecewise linear PID-like fuzzy controllers to be more robust than the specific classical PID controller. The results of robustness comparison is further confirmed in the simulation included for the second order uncertain plant.