船用柴油机模糊-PID复合调速及快速控制原型研究

设计了船用柴油机模糊-PID复合调速控制器,针对柴油机的不同工况,使模糊控制器和PID控制器通过切换开关进行切换,为了确保切换过程平稳,设计了切换控制器.将控制器下载代码到dSPACE/MicroAutoBox控制器内,利用快速控制原型进行了起动和负荷突变工况的试验验证,并与传统PID控制器快速控制原型结果进行对比.研究结果表明:模糊-PID控制器在动、稳态特性上均取得了较好的控制效果.     

汽车电子节气门系统的增益调度控制

介绍了汽车电子节气门系统的工作原理及其组成,分析了系统的非线性因素,建立其数学模型.设计了数字PID和增益调度PID两种控制器,并且针对增益调度PID控制器,在两个控制方向设计了不同的控制策略.两种控制器在matlab/simulink中进行了仿真,对仿真结果进行了分析.可以看出,数字PID控制器的控制精度较差,并容易产生超调;增益调度PID控制器具有较好的跟踪性,可以较好地满足控制要求.     

电阻炉炉温的MCP-CSH控制

针对电阻炉炉温控制质量差的问题,尝试了基于多容惯性标准传递函数的串联校正与状态反馈协调型控制器.仿真试验结果表明,与传统的PID控制器相比,新控制器在超调量、调整时间、扰动抑制和鲁棒性方面都有了明显改善.综合新控制器设计计算简单、实现容易和性能优越的特性,可得出新控制器有在电阻炉炉温控制中实际应用的潜力.     

电弧炉PID神经网络解耦控制器

结合电弧炉主电路系统,推导出电弧炉电气系统状态方程,在此基础上分析了电弧炉三相电流的耦合关系.使用PID神经元网络控制器对电弧炉电极系统进行解耦控制.给出了PID神经元网络控制器的权值初始化规则,其权值更新采用经典的BP算法.分别对于控制器的解耦性、抗干扰性和鲁棒性进行仿真,结果表明PID神经网络控制器具有很好的动态性...     

采用模糊小波基函数神经网络的控制系统及混合优化算法

提出了一种采用模糊小波基函数神经网络的控制器,该控制器采用小波基函数作为模糊隶属函数,利用神经网络实现模糊推理,并可对隶属函数进行实时调整,从而使控制器具备更强的学习和自适应能力.还提出了控制器参数的混合学习算法,即先采用混沌算法离线优化,再采用BP梯度算法在线调整.对锅炉主蒸汽温度控制的仿真结果表明了此法的可行性和有效性.图3参6     

柴油机BP神经网络调速快速控制原型研究

设计了BP神经网络整定PID参数的柴油机调速控制器.把该控制器下载代码到dSPACE/Mi-croAutoBox控制器内,利用快速控制原型的原理进行了起动和负荷突变工况的功能验证,并与传统PID调速控制器快速控制原型结果进行对比,结果表明,BP神经网络具有自学习能力和逼近任意函数的能力,可进行PID参数的在线整定和优化;BP整定PID调速控制器工作正常,调速精度较传统的PID控制器有较大改善;快速控制原型的研究使控制器从功能设计到产品的转化奠定了坚实的基础.     

燃油系统电磁阀用开关电源的设计

针对电压型开关电源在燃油系统电磁阀使用中存在的问题,本文设计了新型电流型开关电源.本文比较了电流型控制器与电压型控制器的技术特点,介绍了电流型PWM控制器UC3844的工作原理及其在燃油系统电磁阀用开关电源中的应用.     

基于预测模型的模糊_PID控制试验研究

针对电加热锅炉夹套温度控制的大滞后、时变性等特点,设计了基于预测模型的模糊-PID(Fuzzy-PID)控制器.建立了预测模型,利用模糊规则调整预测模型系数K值,使加入预测模型的Fuzzy-PID控制器的动态性能和稳态精度都得到了很大的提高.在Matlab中实现了Fuzzy-PID控制的仿真,进行了试验测试,通过仿真和试验可看到加入了模糊控制规则的控制器比常规PID控制器响应更迅速,超调小、且抗扰动能力增强.试验结果表明.该控制方案下的控制效果较好.     

基于自适应遗传算法的协调控制系统优化

针对火电单元机组的协调控制系统,提出了一种基于自适应遗传算法的多变量鲁棒PID控制器参数寻优方法.以控制器设定点跟踪性能为优化目标,鲁棒性能为动态约束,采用具有自适应交叉概率和变异概率的遗传算法寻优PID控制器参数.仿真结果表明,与传统遗传算法寻优所得PID控制器相比,基于自适应遗传算法的鲁棒PID控制器具有良好的负荷...     

基于内分泌单神经元滑模的核电站稳压器控制

针对系统较为复杂的核电站稳压器,在生物神经内分泌腺体激素调节的原理上,设计了一种包含长反馈和超短反馈的双层控制器.在内模和滑模复合控制系统中,内模控制器即内分泌单神经元PID负责控制系统的跟踪性能,滑模控制器负责消除系统的干扰.引入模糊控制整定单神经元PID的输出增益,建立稳压器压力和水位控制的仿真模型.结果表明:内分泌变增益单神经元滑模的控制器相较于传统PID控制器具有更加优良的性能.     

基于带积分参数模糊控制器的电阻炉温控系统

设计了一种带有积分参数的模糊控制器,并将其应用于电阻炉的温度控制系统。介绍了控制器的设计、系统的硬件构成,实现了一套温度采集和控制的设计方案。结果表明其较好的控制效果和较强的自适应性。     

Interconnected operation of small-hydroelectric and diesel power systems

The paper deals with some aspects of the interconnected operation of small-hydroelectric and diesel power systems provided with classical controllers. A comprehensive procedure for optimizing the integral controller gain setting using an integral squared error (ISE) technique is suggested. Analysis reveals that the integral-derivative (ID) controller in the small-hydroelectric area and integral controller in the diesel area improves the system performance significantly as compared to that of integral control in both areas. Analysis also reveals that the continuous frequency and tie-power oscillations can completely be eliminated using an ID controller in the small-hydroelectric area. © 1998 John Wiley & Sons, Ltd.     

气动位置伺服系统的线性二次高斯 LQG自校正控制的研究

为了克服气动伺服系统的时变,非线性等因素对控制系统线性的影响,采用在线辨识来获取时变参数,并利用卡尔曼滤波器估计系统的状态,为了减少干扰的影响,提高定位精度,设计带积分的LQG最优自校正控制器,仿真和实验表明,带积分的LQG自校正控制能有效的抑制干扰,改善气动位置伺服控制的动,静态性能。图4表1参5     

Enhancing stability region of time‐delayed smart power grids by non‐integer controllers

In this study, the impacts of non‐integer order controller on the stable parameter space of the microgrid (MG) frequency control system with fixed communication time delay are investigated and discussed with the help of the stability boundary locus (SBL) method. This study proposes a non‐integer order controller for the load frequency control (LFC) of the MG systems. To that end, the load frequency model of the MG is formulated and then the characteristic equations of this model are obtained. Then, with the help of this characteristic equation, the stable parameter space of the non‐integer controller is determined with regard to different time delay (τ ) and fractional integral order values (α ) using the SBL method. In order to show the accuracy of the obtained stable parameter space, time domain and generalized modified Mikhailov (GMM) criterion studies are carried out for different values of (τ ) and (α ). According to the results obtained, the areas of stable parameter space according to different α values and τ = 1.6 are calculated as 444.8860 for α = 0.4 , 342.9728 for α = 0.7 , 259.3578 for α = 1 , 216.2541 for α = 1.3 and 159.6826 for α = 1.6 . In addition, the areas of stable parameter space according to different τ values and α = 1.4 are calculated as 784.5222 for τ = 1 , 106.3219 for τ = 2 , 29.6959 for τ = 3 and 11.5946 for τ = 4 . Despite the extreme variability arising from nature of resources that make up the MG, the designed non integer order controller with the values selected within the stable parameter space stably carries out LFC control of the MG.     

基于改进型GA优化FNNC的SG水位控制系统仿真研究

蒸汽发生器水位直接影响到整个核电站的安全及稳定运行,但蒸汽发生器本身由于所具有的高度复杂性、非线性性、时变性等特性,导致传统的串级PID控制等方法难以取得好的控制效果.本研究在串级控制的基础上,采用模糊神经网络来对蒸汽发生器水位进行控制,该控制算法能够充分发挥模糊控制及神经网络的优点.另外,为了减小模糊神经网络参数初值的选择对控制器的性能影响,将一种改进型遗传算法用于模糊神经网络控制器的参数优化.仿真结果表明,设计的控制方法无论是抗干扰能力还是在鲁棒性方面与传统的串级PID控制及常规的模糊神经网络控制相比较都有了很大的提高.     

新型模糊自整定PID控制器的温度控制

设计了一种基于模糊推理进行参数自整定的PID控制器。在模糊控制部分加入了一个新的参数ki,即积分参数,起到了加快达到期望值的速度和保持控制的稳定性的作用。将该模糊自整定PID控制器应用于电阻炉的温度控制,结果表明,该控制器具有良好的稳态精度以及控制速度快、适应性强的特点。通过与常规PID控制器进行比较,证明了该方法的有效性和优越性。     

Model-based optimal and robust control of renewable hydrogen gas production in a fed-batch microbial electrolysis cell

Microbial electrolysis cell (MEC) is a fundamental type of bio-electrochemical system. MEC is a novel and emerging renewable energy technology that is based on biomass. The behavior of the MEC system is highly nonlinear due to the complexity of its dynamics. For the desired optimal production of hydrogen, feedback control of MEC processes is necessary. Due to the novelty of MEC, limited research is available on its control. Studies on linear model-based robust control of MEC processes are missing. In this article, we develop a nonlinear dynamic model for MEC, linearize this model, and calculate a linear time-invariant transfer function. Based on this linearization, a fixed-structure, optimal and robust controller is proposed to achieve a fast-settling time exhibiting no overshoot and having zero steady-state error. The robustness of the developed controller is evaluated for parameter uncertainty, measurement noise, and disturbance rejection. Batch biomass processes are fed only at the start of each process cycle. The output does not follow the desired response when the substrate or biomass is consumed. Then, the error accumulates, and it causes the control effort to increase unboundedly. The existing literature on control of fed-batch MEC processes does not consider this integral windup phenomenon. In this article, we also develop an anti-windup control strategy to eliminate the integral windup error and to avoid any possible instability or destruction. The overall conclusion of our study is that the developed robust controller achieves a faster and more robust response than the existing controllers. We provide an anti-integral windup solution to eliminate windup errors in feedback control of fed-batch MEC processes.     

Robust maximum power point tracker using sliding mode controller for the three-phase grid-connected photovoltaic system

A robust maximum power point tracker (MPPT) using sliding mode controller for the three-phase grid-connected photovoltaic system has been proposed in this paper. Contrary to the previous controller, the proposed system consists of MPPT controller and current controller for tight regulation of the current. The proposed MPPT controller generates current reference directly from the solar array power information and the current controller uses the integral sliding mode for the tight control of current. The proposed system can prevent the current overshoot and provide optimal design for the system components. The structure of the proposed system is simple, and it shows robust tracking property against modeling uncertainties and parameter variations. Mathematical modeling is developed and the experimental results verify the validity of the proposed controller.     

水轮机水门的分数阶PID控制策略研究

针对水轮机调速系统的强非线性及易受各种内外部干扰影响,基于分数阶PID控制策略提出了一种新型的水门非线性控制器。通过对水轮机水门开度模型进行反馈线性化,结合分数阶PID控制理论约束自定义的控制变量,且利用遗传算法在线调节控制器的参数。仿真结果证明,与常规PID控制方式相比,所设计的水门分数阶PID控制器能有效地阻尼系统振荡,调速系统的鲁棒性得到较好的改善。     

发动机电控冷却系统设计及试验

提出取消节温器,水泵、风扇分别电控化的发动机新型电控冷却系统型式,运用集总参数法建立系统的数学模型,并搭建电控冷却系统试验装置;运用反馈线性化方法设计非线性控制器,进行仿真和试验研究;分别设计基本模糊控制器和变论域模糊控制器,进行发动机冷却液温度控制试验。最后综合比较非线性控制、基本模糊控制和变论域模糊控制3种控制策略的控制效果,结果表明:发动机电控冷却系统采用变论域模糊控制效果较优。