Review on development progress of automatic manual transmissions control

In recent years, the sustainable development of automatic manual transmissions (AMTs) control in vehicles is conspicuous. The control applications have grown fast and steadily due to the tremendous progress in power electronics components and the control software that enhance the requirements for delivering higher vehicles performance. AMTs control strategies achieve a reduction in the driveline dynamic oscillations behavior during gear shifting and clutch starting up processes. AMTs future expectations are an increase of torque capacity, more speed ratios and the development of advanced and efficient electronic control systems. This paper concerns with the progressing view of AMTs in the past, today and future, gives an overview of the potential dynamic problems concerned with AMTs and some control strategies used to solve those problems.     

用于三相PWM并网逆变器的改进型幅相控制方法

In this paper, a vector regulating principle of the phase and amplitude control （ PAC ） method for three-phase grid-connected inverters is presented. To solve the problem of heavy inrush current and slow dynamic response when system starts up, the starting voltage prediction control and the current feed-forward control are proposed and used, which improve the dynamic performance of the system in the PAC. The experimental results carried out on a three-phase grid-connected inverter proved the validity of the proposed method.     

Dynamic simulation and optimal control strategy for a parallel hybrid hydraulic excavator

The primary focus of this study is to investigate the control strategies of a hybrid system used in hydraulic excavators. First, the structure and evaluation target of hybrid hydraulic excavators are analyzed. Then the dynamic system model including batteries, motor and engine is built as the simulation environment to obtain control results. A so-called multi-work-point dynamic control strategy, which has both closed-loop speed PI （proportion integral） control and direct torque control, is proposed and studied in the simulation model. Simulation results indicate that the hybrid system with this strategy can meet the power demand and achieve better system stability and higher fuel efficiency.     

Control strategy of hybrid fuel cell/battery distributed generation system for grid-connected operation

This paper presents a control strategy of a hybrid fuel cell/battery distributed generation （HDG） system in distribution systems. The overall structure of the HDG system is given, dynamic models for the solid oxide fuel cell （SOFC） power plant, battery bank and its power electronic interfacing are briefly described, and controller design methodologies for the power conditioning units and fuel cell to control the power flow from the hybrid power plant to the utility grid are presented. To distribute the power between the fuel cell power plant and the battery energy storage, a neuro-fuzzy controller has been developed. Also, for controlling the active and reactive power independently in distribution systems, the current control strategy based on two fuzzy logic controllers has been presented. A Matlab/Simulink simulation model is developed for the HDG system by combining the individual component models and their controllers. Simulation results show the overall system performance including load-following and power management of the HDG system.     

Intelligent Control Scheme of Engineering Machinery of Cluster Hybrid System

In a hybrid system, the subsystems with discrete dynamics play a central role in a hybrid system. In the course of engineering machinery of cluster construction, the discrete control law is hard to obtain because the construction environment is complex and there exist many affecting factors. In this paper, hierarchically intelligent control, expert control and fuzzy control are introduced into the discrete subsystems of engineering machinery of cluster hybrid system, so as to rebuild the hybrid system and make the discrete control law easily and effectively obtained. The structures,reasoning mechanism and arithmetic of intelligent control are replanted to discrete dynamic, continuous process and the interface of the hybrid system. The structures of three types of intelligent hybrid system are presented and the human experiences summarized from engineering machinery of cluster are taken into account.     

A PAC Based Current Feedforward Control for Three-Phase PWM Voltage-Type Converter

This paper presents a novel current feedforward control strategy for a three-phase pulse-width modulation (PWM) DC voltage-type converter based on phase and amplitude control (PAC). With right-angle triangle relation of phasors and principle of conservation of energy, a phasor adjustment method and the relevant low-frequency mathematical model of the system are analyzed in detail, both in rectification and regeneration modes for the converter, are discussed. For improving the traditional PAC dynamic performance, variable load current is detected indirectly by the change of the DC voltage, which is fed to the control system as an additional control variable to generate modulation index and phase angle. Also, the algorithm is derived and the system principle is introduced. Experimental results from a 3 kw laboratory device are included to demonstrate the effectiveness of the proposed control strategy.     

质子交换膜燃料电池系统电气输出的动态控制

This paper discusses dynamic characteristics of proton exchange membrane fuel cell (PEMFC) under rapid fluctuation of power demand. Wavelet neural network is adopted in the identification of the characteristic curve to predict the voltage. The system control scheme of the voltage and power is introduced. The corresponding schemes for voltage and power control are studied. MATLAB is used to simulate the control system. The results reveal that the adopted control schemes can produce expected effects. Corresponding anti-disturbance and robustness simulation are also carried out. The simulation results show that the implemented control schemes have better robustness and adaptability.     

Analysis Model of Dynamic Response on the Circular Caisson Breakwater Under Random Wave

The random wave load is applied to dynamic response analysis of circular caisson breakwater. The motion process of circular caisson breakwater is classified as rotation motion mode and rotation-and-sliding motion mode. The dynamic model system composed of damper-antislider to control the lateral sliding is introduced, and corresponding dynamic equations of two motion modes are established. The formulas to calculate added mass and new conversion relation of the unit rotational stiffness coefficient are put forward according to the characteristic of the circular caisson breakwater. An engineering case is calculated by a program compiled in Fortran language using proposed dynamic model and method. The validity of the model is calibrated.     

Bifurcation of periodic motion of rigid rotor system supported by angular contact ball bearings

Rotor systems supported by angular contact ball bearings are complicated due to nonlinear Hertzian contact force. In this paper, nonlinear bearing forces of ball bearing under five-dimensional loads are given, and 5-DOF dynamic equations of a rigid rotor ball bearing system are established. Continuation-shooting algorithm for periodic solutions of the nonlinear non-autonomous dynamic system and Floquet multipliers of the system are used. Furthermore, the bifurcation and stability of the periodic motion of the system in different parametric domains are also studied. Results show that the bifurcation and stability of period-1 motion vary with structural parameters and operating parameters of the rigid rotor ball bearing system. Avoidance of unbalanced force and bending moment, appropriate initial contact angle, axial load and damping factor help enhance the unstable rotating speed of period-1 motion.     

Time Collocation Method for Structural Dynamic Problems

In order to achieve highly accurate and efficient numerical calculations of structural dynamics, time collocation method is presented. For a given time interval, the numerical solution of the method is approximated by a polynomial. The polynomial coefficients are evaluated by solving alge-braic equation. Once the polynomial coefficients are evaluated, the numerical solutions at any time in the interval can be easily calculated. New formulae are derived for the polynomial coefficients, which are more practical and succinct than those previously given. Two structural dynamic equations are calculated by the proposed method. The numerical solutions are compared with the traditional fourth-order Runge-Kutta method. The results show that the method proposed is highly accurate and computationally efficient. In addition, an important advantage of the method is the simplicity in software programming.     

具有控制约束的动态投入产出与经济系统最优控制

研究基于动态投入产出理论的确定性线性经济系统控制模型．对于具有控制积分不等式约束的二次型性能指标的经济系统给出了最优调节规律和最小的经济损耗．     

基于PSCAD/EMTDC微型燃气轮机发电系统的仿真模型

结合单轴结构微型燃气轮机的动态特性建立PSCAD/EMTDC模型,同时给出了电力电子装置的拓扑结构及逆变器的PQ控制策略。仿真结果表明,整个微型燃气轮机发电系统与实际相符,单轴结构微型燃气轮机具有较好的动态特性,辅以电力电子装置后能够实现电能的并网输出,且有功功率与无功功率独立可控。     

同时时延和数据包丢失的NCS指数稳定性分析

文章针对网络时延和数据包丢失同时存在的情况下,将网络控制系统建模为具有事件约束条件的异步动态系统,利用李雅普诺夫函数和线性矩阵不等式原理,提出了网络控制系统指数稳定性的充分条件,并通过求解矩阵得出系统指数稳定的状态反馈控制律。最后的仿真表明该条件是有效的。     

基于改进萤火虫优化算法的汽车悬架PID控制

为了获得更好的汽车平顺性,构建1/4汽车主动悬架模型,采用悬架动挠度、车身动位移、轮胎动载荷和轮胎垂直速度等4项指标进行近似衡量,提出基于改进萤火虫优化算法（FA）的汽车悬架PID控制,并与基于LQR控制、基于Fuzzy-PID控制下的汽车悬架平顺性进行对比。仿真结果显示,基于改进FA优化的PID控制的4项指标峰值均大幅降低,峰值最高下降36.1%,证明基于改进萤火虫优化算法的PID控制可提高汽车平顺性能。     

Elevator group-control policy based on neural network optimized by genetic algorithm

Aiming at the diversity and nonlinearity of the elevator system control target, an effective group method based on a hybrid algorithm of genetic algorithm and neural network is presented in this paper. The genetic algorithm is used to search the weight of the neural network. At the same time, the multi-objective-based evaluation function is adopted, in which there are three main indicators including the passenger waiting time, car passengers number and the number of stops. Different weights are given to meet the actual needs. The optimal values of the evaluation function are obtained, and the optimal dispatch control of the elevator group control system based on neural network is realized. By analyzing the running of the elevator group control system, all the processes and steps are presented. The validity of the hybrid algorithm is verified by the dynamic imitation performance.     

一种非完整移动机器人开环迭代学习控制研究

针对非完整移动机器人的轨迹重复跟踪问题,提出了一种开环P型迭代学习控制算法。首先给出非完整移动机器人的运动学模型,并结合离散时域对轨迹跟踪问题进行描述,然后设计迭代学习控制器并在给定条件下证明了其收敛性;MATLAB仿真结果表明,随着迭代次数的增加,该算法能够有效改善动态不确定环境中系统的稳定性与收敛的快速性。     

一种实用的程序控制流错误检测方法

该文武介绍了一种检测软件控制流错误的方法,阐述了该方法的原理,给出了具体的实现方案和测试结果.本方法在RSCFC方法的基础上,通过把程序划分为若干个基本模块并分别为每个模块设定静态标记,在每个基本模块的首部和尾部分别加上相应的测试和设置指令,在程序运行时通过比较运行时生成的动态标记和编译时确定的静态标记是否匹配来检测程序控制流错误.本方法和RSCFC方法相比的优点在于：使用相同长度的标记可以编码更多的基本模块;在基本模块的起始处和结束处都进行错误检测,错误覆盖率高;可以在发生错误的当前基本模块检测出所有的单个控制流错误,不会延迟到控制流进入下一个基本模块.