Position control for asymmetrical hydraulic cylinder system using a single on/off valve

A single on/off valve is used to carry out the position control of the asymmetrical hydraulic cylinder. The influence of the nominal flow rate on the positional accuracy of piston is investigated and the proximate formula for calculating the nominal flow rate of on/off valve is introduced. The system structure proposed in this paper could avoid cavitation and hyper pressure in two chambers to some extent. The simulation results indicated that the control method in this paper could satisfy the expected control requirements.     

Impact arresting process mechanical modeling and sliding model buffer control based on magneto-rheological fluid

The research on the form and control method of impact load arresting buffer has been an active topic in the field of buffer arresting system (BAS). It becomes significant on reducing the weight of arresting system, improving the hindered efficiency, and guaranteeing the security of BAS. The hydraulic hindered device of impact load is currently used in BAS. There are some problems. For example, the system needs large power sources. However, once the power of active hydraulic control system is turned off, there arise unpredictable security risks. An arresting form of semi-active control based on magneto-rheological damper (MRD) is proposed, and the mechanical model of the BAS is established. Meanwhile, the state equation of impact load BAS is established according to the characteristics of impact load buffer arresting, and its sliding model buffer control is achieved. Due to the chattering characteristic of the output signal of sliding mode controller, the method to prevent chattering is designed based on short-term energy and zero-crossing rate detection. For the model and chattering suppression of sliding model buffer control algorithms, simulation results show that the proposed state equation and the arresting model are reasonable, and the design of semi-active control algorithm is effective. On the condition of the buffer control system requirement and the accuracy, the proposed algorithms effectively control the chattering of sliding mode control algorithms, and improve the security of the BAS.     

基于模糊切换增益调节的汽车稳定性滑模控制

针对汽车稳定性控制系统,根据滑模控制原理并利用模糊系统的逼近能力,提出一种自适应模糊滑模控制方案。设计基于模糊逻辑的模糊控制器,通过隶属函数将滑模面切换函数模糊化,根据滑模到达条件对切换增益进行有效的估计和调整,再采用积分法求解模糊控制器的输出。仿真结果表明,模糊滑模变结构控制方法既能缩短响应时间,也能抑制系统颤振。     

阀控非对称缸全状态反馈位置系统研究

根据非对称缸电液位置伺服系统的组成,对系统中的阀控非对称缸的数学模型进行了研究,得出基于全状态反馈的电液伺服系统的框图和仿真模型.控制器采用全维状态观测器实现状态反馈,以二阶工程最佳为优化目标.仿真结果表明：该控制器实现了液压位置伺服系统的极点配置,完成了优化目标,验证了全状态反馈控制应用在非对称缸电液伺服系统中的可行性.     

阀控非对称缸液压系统建模研究

考虑了阀控非对称缸液压系统中阀与缸之间采用软管连接的情况,构建了系统方程,推导了活塞杆在两个方向,活塞杆伸出和活塞杆缩回时的两个传递函数,分析了两个方向的增益与固有频率,采用了SimHydraulics实物仿真,仿真结果验证了对传递函数的理论分析.     

基于线性矩阵不等式的船舶动力定位滑模控制

为了解决具有非线性和环境干扰的船舶动力定位系统的控制问题, 提出了一种基于线性矩阵不等式的滑模控制算法; 将跟踪误差设计为滑模函数, 设计线性矩阵不等式, 求解状态反馈增益; 基于二次型Lyapunov函数证明了闭环系统的稳定性; 设计切换函数, 使系统对不确定性和外加干扰具有较强的鲁棒性, 避免出现抖振现象; 对基于线性矩阵不等式的滑模控制器进行仿真, 计算出动力定位船舶在无扰动的匀速运动和有外界环境扰动的变速运动2种不同情况下的前进速度、横荡速度、艏向角速度、前进加速度、横荡加速度、艏向角加速度、前进控制力、横荡控制力和艏向控制力矩等; 分析了状态反馈增益线性矩阵、边界层、切换项增益等参数对控制性能的影响。研究结果表明: 采用基本滑模控制使前进速度达到期望值所需的上升时间为29s, 而新算法为15s, 节约了48.28%;采用基本滑模控制使横荡速度达到期望值所需的上升时间为24s, 而新算法为14s, 节约了41.67%;采用基本滑模控制使艏向角速度达到期望值所需的上升时间为13s, 而新算法为10s, 节约了23.08%。可见, 设计的控制器对有非线性和环境干扰的船舶动力定位系统都具有较强的鲁棒性, 具有控制输入连续、控制抖振小、不存在过高增益等特点。      

车辆主动悬挂最优预见控制模型

以复杂多自由度的车辆系统设计模型代替传统的简化模型,建立了主动悬挂控制车辆系统模型,设计了最优预见控制器,研究了车体的浮沉、点头、侧滚3种运动状态在加控制和未加控制时的路面激扰响应。仿真计算结果表明在最优控制下车体的浮沉响应降低了27％,点头响应降低了30％,侧滚响应降低了30％;在预见控制二次加权矩阵的作用下,车体的浮沉响应降低了54％,点头响应降低了50％,侧滚响应降低了45％;根据预见控制的提前预见可适时响应的特点,系统可按设定目标预见步数提前作出响应,由此验证了最优预见控制在复杂多自由度的车辆主动悬挂设计模型中应用的可行性和有效性。     

基于神经元的电液伺服系统同步控制

为探讨电液伺服系统的同步控制方法,以一个四液压缸大型平台电液伺服同步控制系统为对象,采用实验数据辨识4个液压缸的数学模型,对神经元自适应控制器用于同步控制进行了研究和改进,提出了虚拟主动缸和混合同步神经元控制结构.仿真结果表明:采用虚拟主动缸的同步效果好,最大同步误差为0.261 mm,但需要建立1个液压缸的数学模型;采用混合同步神经元控制结构,不需要建立数学模型,可通过调节参数控制同步误差,较好地实现同步控制,3和8 Hz正弦信号输入时最大同步误差分别为0.431和0.383 mm.     

基于理论的船舶主机冷却水控制系统的设计

摘要本文对船舶主柴油机缸套冷却水系统的传热机理进行了分析,建立了船舶主柴油机缸套冷却水系统的动态热力数学模型。由于系统的参数具有不确定性,并针对目前船舶主柴油机缸套冷却水系统惯性较大,缸套冷却水出口温度经常超调的特点,设计了该系统的H∞控制器。通过仿真发现所设计的H∞控制器能有效地提高系统的动态精确度和抑制扰动的能力。     

Nonlinear control for autonomous underwater glider motion based on inverse system method

Autonomous underwater gliders are highly efficient, buoyancy-driven, winged autonomous underwater vehicles. Their dynamics are multivariable nonlinear systems. In addition, the gliders are underactuated and difficult to maneuver, and also dependent on their operational environment. To confront these problems and to design an effective controller, the inverse system method was used to decouple the original system into two independent single variable linear subsystems. The stability of the zero dynamics was analyzed, and an additional closed-loop controller for each linear subsystem was designed by sliding mode control method to form a type of composite controller. Simulation results demonstrate that the derived nonlinear controller is able to cope with the aforementioned problems simultaneously and satisfactorily.     

双容液位滑模控制系统设计

探讨了滑动模态变结构控制(滑模控制)设计原则,设计了一种滑模控制器,实现了两输入两输出非线性液位系统控制,并用组态王(Kingview)编制该控制软件,解决系统难于控制和抗扰动的问题.在线运行,体现了滑模变结构控制自适应能力强,动态、静态品质优良,鲁棒性好等优点,与传统PID控制进行比较,证实变结构控制的优越性.     

干摩擦自激振动系统的滑模变结构控制

研究两自由度于摩擦自激振动系统的解耦和主动控制.首先利用平均法计算系统的定常解,分析纯滑动形式的干摩擦自激振动特性,然后采用非线性控制的微分几何方法设计解耦规律,对解耦得到的线性子系统,应用滑模变结构控制理论设计控制器,分析控制器参数和系统参数对控制效果的影响.仿真结果表明该控制器可以有效地抑制系统的摩擦颤振.     

永磁同步电机位置伺服系统的滑模控制

介绍了一种基于指数趋近率的滑模变结构控制(SMC)方法.速度环采用PI控制,消除系统稳态误差和提高响应速度,位置环采用滑模控制,抑制参数摄动及负载扰动.仿真结果表明:该控制策略具有良好的响应速度并能快速准确的跟踪位置给定.     

Robust intelligent control design for marine diesel engine

This work deals with the nonlinear control of a marine diesel engine by use of a robust intelligent control strategy based on cerebellar model articulation controller （CMAC）. A mathematical model of diesel engine propulsion system is presented. In order to increase the accuracy of dynamical speed, the mathematical model of engagement process based on the law of energy conservation is proposed. Then, a robust cerebellar model articulation controller is proposed for uncertain nonlinear systems. The concept of active disturbance rejection control （ADRC） is adopted so that the proposed controller has more robustness against uncertainties. Finally, the proposed controller is applied to engine speed control system. Both the model of the diesel engine propulsion system and of the control law are validated by a virtual detailed simulation environment. The prediction capability of the model and the control efficiency are clearly shown.     

微型计算机在经济四段半控整流控制中的应用

分析了我国电力机车经济四段半控整流控制系统的现状，并针对这一现状所存在的问题设计出一种采用8751单片微机控制的数字化控制系统。系统内设计了高分辨率的数字触发器和高精度的同步中断脉冲以及高精度快速的A／D转换，实现了数字化高性能调节控制系统。     

Adaptive control of active balancing system for a fast speed-varying Jeffcott rotor with actuator time delay

Due to actuator time delay existing in an adaptive control of the active balancing system for a fastspeed-varying Jeffcott rotor, if an unsynchronized control force (correction imbalance) is applied to the system,it may lead to degradation in control efficiency and instability of the control system. In order to avoid theseshortcomings, a simple adaptive controller was designed for a strictly positive real rotor system with actuatortime delay, then a Lyapunov-Krasovskii functional was constructed after an appropriate transform of this sys-tem model, the stability conditions of this adaptive control system with actuator time delay were derived. Afteradding a filter function, the active balancing system for the fast speed-varying Jeffcott rotor with actuator timedelay can easily be converted to a strictly positive real system, and thus it can use the above adaptive controllersatisfying the stability conditions. Finally, numerical simulations show that the adaptive controller proposedworks very well to perform the active balancing for the fast speed-varying Jeffcott rotor with actuator timedelay.     

RSOFCPN: CONTROL SYSTEM STRUCTURE AND ALGORITHM DESIGN

IntroductionThe learning approaches of neural network canusually be distinguished into three classes:su-pervised learning,unsupervised learning and re-inforcement learning.The supervised learningscheme has the highest efficiency but requiresthe learning systems to provide with desired out-puts.Obviously,it is very difficultin many cas-es.Unsupervised learning methods constructin-ternal models at capture regularities in their in-puts without receiving any additional informa-tion.Therefore,its …     

船舶航向非线性系统的输出反馈鲁棒控制

考虑船舶航向控制系统模型中存在非线性，假设模型参数和外界干扰有界的情况下，首先利用Lyapunov稳定性模型，提出了一种状态反馈鲁棒控制新算法的自动舵设计，进而考虑到实际船舶上，在进行航向控制时，并不是所有船舶运动状态都是可测的，仅有航向是可测的，采用一种高增益状态观测器对状态进行重构，提出了输出反馈鲁棒控制自动舵设计，以大连海事大学远洋实习船“育龙轮”为例，进行了输出反馈鲁棒控制自动舵设计，并利用Matlab工具箱进行了仿真研究，结果证明该算法是十分有效的。     

模糊控制在汽车防抱制动系统中的应用

论证了汽车上安装ABS系统的必要性。浅析了几种常见控制方法的应用,较详细地讨论了模糊控制理论在ABS系统中的应用。针对简化的汽车模型,提出了车速估算的模糊逻辑方法,用Matlab模糊控制工具箱进行了模糊控制器的设计,并在Simulink仿真环境下进行了仿真。     

基于粒子群的城市交通信号两级模糊控制

针对城市交通流的特点,设计一种单交叉口多相位两级模糊控制器,有效地减少控制规则数,实现相序、绿信比、周期随交通状况而自适应变化,并采用粒子群算法对模糊控制器的隶属度函数进行优化。仿真结果表明,该系统能有效地提高交叉口的通行能力,减少车辆平均延误。