Integrated Auto-Tuning PID Control of Continuous Casting Process

PID controllers were used for the hydraulic servo system of sliding gate and the tundish weight control system in continuous caster.These two loops were synthesized in mould level controller based on model reduction and internal model control strategy.Satisfactory control performance of this synthetic mould level controller was demonstrated by simulations and on-line experiments.

Application study of digital PID controller in cockpit temperature auto-regulating system

Aiming at the inherent blemish existi ng currently in airplane cockpit temperature regulating system,a digital temperatu re auto-regulating design scheme of the system is put forward,namely,a digita l proportional-integral-derivative(PID) controller used for temperature contr ol is designed.And then it is applied in airpl ane cockpit temperature regulating system by adopting the way of cascade control.Experiment results indicate that the design scheme is reasonable and practical.

High signal-to-noise ratio sensing with Shack–Hartmann wavefront sensor based on auto gain control of electron multiplying CCD

High signal-to-noise ratio can be achieved with the electron multiplying charge-coupled-device（EMCCD） applied in the Shack–Hartmann wavefront sensor（S–H WFS） in adaptive optics（AO）.However,when the brightness of the target changes in a large scale,the fixed electron multiplying（EM） gain will not be suited to the sensing limitation.Therefore an auto-gain-control method based on the brightness of light-spots array in S–H WFS is proposed in this paper.The control value is the average of the maximum signals of every light spot in an array,which has been demonstrated to be kept stable even under the influence of some noise and turbulence,and sensitive enough to the change of target brightness.A goal value is needed in the control process and it is predetermined based on the characters of EMCCD.Simulations and experiments have demonstrated that this auto-gain-control method is valid and robust,the sensing SNR reaches the maximum for the corresponding signal level,and especially is greatly improved for those dim targets from 6 to 4 magnitude in the visual band.

Equilibrating Pressure with Auto-Control Valve in Water Distribution Networks

This paper probes into the feasibility of equilibrating pressure of water distribution network through (using auto-control valves) in theory and in the economy. An optimal valve control model is designed to minimize the sum of squares of residual pressure in the network. Such an analog simulation has been performed on the year 2003 programming network of a certain littoral district in North China, through which this paper confirms that it is feasible to equilibrate pressure with auto-control valves in theory. The research work has brought about a discovery of applicable conditions of valves in economic feasibility, which avoids a great economic loss due to the wild use of auto-control valve. In addition, simulated annealing algorithm is applied to optimize valve settings and shown to identify global optimum or near-optimum.

Improved Water Network Macroscopic Model Utilising Auto-Control Adjusting Valve by PLS

In order to overcome the low precision and weak applicability problems of the current municipal water network state simulation model, the water network structure is studied. Since the telemetry system has been applied increasingly in the water network, and in order to reflect the network operational condition more accurately, a new water network macroscopic model is developed by taking the auto-control adjusting valve opening state into consideration. Then for highly correlated or collinear independent variables in the model, the partial least squares (PLS) regression method provides a model solution which can distinguish between the system information and the noisy data. Finally, a hypothetical water network is introduced for validating the model. The simulation results show that the relative error is less than 5.2%, indicating that the model is efficient and feasible, and has better generalization performance.

MODIFIED AUTOMATIC TUNING OF PI/D CONTROLLERS BASED ON PHASE AND AMPLITUDE MARGIN SPECIFICATIONS

A new auto tuning procedure for PI/D controller based on phase and amplitude margin specifications was proposed.The procedure applied a modified relay feedback experiment to identifying the process frequency response of the point where the Nyquist curve intersects the negative imaginary axis,and the PI/D controller settings can be obtained based on this single point.The auto tuning method has all the merits of the tuning method that Astrom and Hagglund had proposed,and overcomes its problems.The simulation results show that the proposed tuning method has better performance than Astrom Hagglund’s tuning method.

Auto-Ignition and Heat Release Correlations for Controlled Auto-Ignition Combustion in Gasoline Engines

Auto-ignition and heat release correlations for controlled auto-ignition(CAI)combustion were derived from extensive in-cylinder pressure data of a four-stroke gasoline engine operating in CAI combustion mode.Abundant experiments were carried out under a wide range of air/fuel ratio,speed and residual gas fraction to ensure that the combustion correlations can be used in the entire CAI engine operation range.Furthermore,a more accurate method to compute the residual gas fraction was proposed by calculating the working fluid temperature at the exhaust valve close timing in the experiments.The heat release correlation was described in two parts,one is for the first slower heat release process at low temperature,and the other is for the second faster heat release process at high temperature.Finally the heat release correlation was evaluated on the single cylinder gasoline engine running with CAI combustion by comparing the experimental data with the 1-D engine simulation results obtained with the aid of the GT-Power simulation program.The results show that the predicted loads and ignition timings match closely with the measurements.

A Simulation Study of Higee Rotor Auto-balancing Based on Iterative Learning Control

Hypergravity technology has a wide application prospect on many industry areas for its powerful ability on multiphase flow transport and reaction.In its long-term operation,vibration control of higee rotor is an important guarantee for high-quality continuous outputs.Offline approach has great influence on continuity of the whole production line.In order to study online auto-balancing control strategy,a mathematical model of higee rotor was established.Then basic Iterative Learning Control(ILC)algorithm and its improved structure based on vector analysis were introduced.Pure injection balancer and electromagnetic balancer were separately used as the actuator.Three different control algorithms(P control using Cohen-Coon parameter tuning law,basic ILC,and improved ILC based on vector analysis)were compared under single eccentric mass disturbance and continuous ones.Simulation results manifested the effects of ILC in rotor auto-balancing control,especially on the "over-control" issue during the balancing process.

Auto Distribution of Tag Table in P2P Control System

In control system,tag table is like a dictionary mapping tagname to address. Therefore,applications on workstation may use tagname to access different data in system. Normally tag table generated by configuration software will transfer to other workstation in system manually after system configuration,which is inconvenient and fallible. The development of peer-to-peer (P2P) network technology and the realization of control system based on P2P network make the auto distribution of tag table possible. In this paper based on file sharing technology the presented method realizes the auto distribution of tag table.

Sliding Mode Control with Auto-Tuning Law for Maglev System

This paper presents a control strategy for maglev system based on the sliding mode controller with auto-tuning law. The designed adaptive controller will replace the conventional sliding mode control (SMC) to eliminate the chattering resulting from the SMC. The stability of maglev system is ensured based on the Lyapunov theory. Simulation results verify the effectiveness of the proposed method. In addition, the advantages of the proposed controller are indicated in comparison with a traditional sliding mode controller.

CONSTRUCTION OF POLYNOMIAL MATRIX USING BLOCK COEFFICIENT MATRIX REPRESENTATION AUTO-REGRESSIVE MOVING AVERAGE MODEL FOR ACTIVELY CONTROLLED STRUCTURES

The polynomial matrix using the block coefficient matrix representation auto-regressive moving average(referred to as the PM-ARMA)model is constructed in this paper for actively controlled multi-degree-of-freedom(MDOF)structures with time-delay through equivalently transforming the preliminary state space realization into the new state space realization.The PM-ARMA model is a more general formulation with respect to the polynomial using the coefficient representation auto-regressive moving average(ARMA)model due to its capability to cope with actively controlled structures with any given structural degrees of freedom and any chosen number of sensors and actuators.(The sensors and actuators are required to maintain the identical number.)under any dimensional stationary stochastic excitation.

一种汽车转弯时外后视镜及转向灯的自动控制装置设计研究

本文提出了一种汽车转弯时外后视镜及转向灯的自动控制装置设计研究方向,解决了汽车变道或转向时,无法重新调节外后视镜,将会产生视角盲区,导致无法看清后面车况路况,此时,即使驾驶员忘记开启转向灯,本装置也会自动开启转向侧的转向灯,避免与后面来车或行人发生碰撞,确保行车安全。

空间自适应的被动声源定位系统的设计

传统的声源定位技术分为时延估计和空间定位两步,本文将几种经典的时延估计和空间定位方法加以整合与改进,提高了系统的实时性与抗干扰能力,创新性地提出并实现了根据声源位置变化而自适应调整麦克风阵列形态的定位系统,在不降低实时性的同时,有效地降低了定位误差。本文从定位精度、实时性和抗干扰能力三个方面对系统性能进行评估,实验证明:理想条件下,该声音定位系统的不确定度在4cm以内;对噪声和混响有较好的抵抗能力,在恶劣环境下不确定度不超过6cm;单次定位耗时0.5s,可以对运动声源或脉冲声源进行定位,有较强的实时性,可以适用于大部分应用场景。

结合信息物质的昆虫病原微生物自传播技术研究进展

昆虫病原微生物是害虫综合治理的重要措施,但其防治效果不稳定、速效性差、自然流行慢,因此探索增强昆虫病原生物流行技术是提升其防治效果的重要手段。自传播技术利用昆虫自身传播病原微生物以控制害虫种群数量,该技术提高了昆虫病原微生物在田间的传播效率和精准防控效果,是目前害虫防治具有开发潜力的技术之一。本文阐述了国内外关于结合信息物质的昆虫病原微生物自传播技术研究进展,系统介绍了自传播技术的原理、昆虫病原微生物类群、防治对象和装置等,并对该技术未来发展趋势进行了展望,以期为提高昆虫病原微生物防控害虫效果提供新思路。

一种融合AutoEncoder与CNN的混合算法用于图像特征提取

深度学习方法在图像的特征提取方面具有优势。针对传统特征提取方法需要先验知识的不足,提出一种自动编码器(Auto Encoder)与卷积神经网络(convolutional neural network,CNN)相结合的深度学习特征提取方法。该方法给Auto Encoder加入快速稀疏性控制,据此对图像训练出基本构件,并初始化CNN的卷积核;同时,给CNN加入了滤波机制,使输出特征保持稀疏性。实验结果表明,在Minist手写数字库和Yale人脸库的识别效果上,提出的特征提取方法均取得了较好的结果,实验进一步通过交叉验证T检验指出,引入滤波机制的特征提取模型优于没有采用滤波机制的模型。

基于终端滑模自抗扰的混合储能系统功率控制

为提高混合储能系统对直流微电网母线功率支撑的双向调控性能,针对混合储能系统,提出一种基于非奇异终端滑模自抗扰技术的双向功率控制方法。分析建立采用双向半桥DC/DC变换器的并网接入系统数学模型;设计超级电容端电压稳定附加功率补偿控制结构;利用基于趋近律的非奇异终端滑模自抗扰技术和基于扩张状态观测器的系统不确定及扰动项在线估计,设计混合储能双向功率调节非线性控制器。通过仿真测试,并与传统线性控制器性能对比,验证所提方法的正确有效性。

PLC自控系统在北河口水厂二期工程中的应用

结合北河口水厂二期工程实例,介绍了PLC自动控制系统在自来水厂中的应用情况,对自来水厂的建设有着重要参考价值。

欠驱动飞行器横侧向通道的自耦PD控制方法

针对欠驱动高超声速飞行器横侧向通道的姿态控制问题,提出一种基于自耦PD(proportional-differential)控制理论的控制方法.该方法将欠驱动飞行器横侧向姿态模型转换为由速度倾斜角与侧滑角两个通道组成的二阶动态模型,并在速度倾斜角通道中引入一个侧滑角虚拟指令,再对速度倾斜角与侧滑角两个通道的内部动态与外部扰动分别定义两个总扰动,从而将非线性欠驱动扰动系统等价映射为虚拟全驱动线性扰动系统.使用最小速度因子及其自适应速度因子来设计外环速度倾斜角的自耦PD控制器,以便获得侧滑角虚拟指令,并根据该虚拟指令来设计内环侧滑角的自耦PD控制器,从而获得副翼偏角的控制力.分析了自耦PD控制系统的鲁棒稳定性和抗扰动鲁棒性.仿真结果表明,本文设计的自耦PD控制器不仅具有良好的抗扰动鲁棒性,而且具有良好的动态品质和稳态性能.

基于ACPI的磁浮球系统控制方法

针对传统控制算法在解决磁浮球系统中存在高度非线性特性、参数摄动以及外部扰动的技术局限性问题,提出一种基于自耦PID(Auto-coupling PID, ACPID)控制理论的磁浮球系统控制方法。首先根据电磁力在平衡点附近进行1阶Taylor展开,结合电磁线圈的动态模型,形成以电压为控制输入的磁浮球位置动态系统。在磁浮球动力学模型的基础上,再将不确定高阶项、电磁线圈的未知电流动态以及外部未知有界扰动定义为总扰动,从而可将一个非线性不确定磁浮球系统映射为一个2阶线性扰动系统。其次,基于ACPID控制量纲匹配构造的误差函数,可将2阶线性扰动系统映射为1阶线性系统,进而构建一个在总扰动反相激励下的闭环受控误差系统,据此设计了基于速度因子的磁浮球位置通道控制器,建立磁浮球位置控制系统并进行鲁棒稳定性分析,理论证明了ACPI方法的有效性。最后与国外现有较为先进的控制方法进行对比仿真,分别进行了方波跟踪实验、正弦跟踪实验、抗扰动实验以及鲁棒性实验。与NTSMC+GPIO方法相比,在方波跟踪实验中ACPI控制系统的响应速度提升了50%,ITAE值降低了82%,RMSE值降低了22.4%,其他仿真实验下的控制性能也有明显的提升。研究结果表明,ACPI控制策略不仅可以实现在超调量较小的情况下具备较快的响应速度、较高的控制精度、较强的抗扰动能力以及较好的鲁棒性,而且控制器结构简单、计算量小,在磁浮球控制系统领域具有一定的应用前景。