单级旋转倒立摆的自抗扰控制

单级旋转倒立摆是一个单输入双输出、强非线性、强耦合的不稳定系统.应用自抗扰控制方法对其进行研究,利用状态观测器对系统的总扰动进行实时估计和补偿,实现了对摆的竖直偏角的良好控制.并且与LQR方法进行了对比,在改变研究对象的参数而不改变控制参数的情况下进行了仿真,结果表明自抗扰控制方法具有较强的鲁棒性.     

SMO在无位置传感器PMSM驱动控制系统的应用

为了开发一种成本低、可靠性好、维护简单的无位置和速度传感器的控制方法,在分析永磁同步电动机PMSM的数学模型和滑模变结构控制基本理论的基础上,建立了基于滑模观测器SMO的PMSM无传感器驱动控制系统模型.以TMS320LF2407A DSP为核心构建了PMSM无传感器驱动控制系统,并进行了仿真和实验研究.结果表明,所提出滑模观测器能够准确地估算出电机的位置信息,并且系统具有较好的静、动态特性,从而验证了滑模观测器在无位置传感器PMSM驱动控制系统中应用的可行性和正确性.     

浅析Observer模式在GIS软件设计中的应用

面向对象方法仅仅从问题域的离散抽象很难达到高内聚和低耦合,设计模式的出现和广泛应用为解决这个问题提供了有效的方法.探讨了Observer模式的基本原理以及在GIS软件设计中的应用,并在具体实践中做了有益尝试.实践证明了设计模式在改善软件的灵活性和适应性方面所发挥的积极作用.     

基于改进型非线性干扰观测器的爬壁机器人轨迹跟踪

针对爬壁机器人建模不准确及容易受外部扰动的影响造成位置及姿态误差的问题,提出了一种基于改进型非线性干扰观测器的轨迹跟踪控制方案.首先通过反演控制设计了一个运动学控制器为机器人动力学控制提供参考质心速度与角速度.其次应用改进型非线性扰动观测器作为前馈控制对建模误差及外部扰动进行估计,并保证扰动误差以指数形式收敛.最后针对...     

造纸过程容错控制系统设计与仿真

本文针对造纸过程定量控制时滞大、干扰多及可靠性低的问题,设计出一种采用二级控制结构,并引入容错控制方式的控制系统,并通过仿真证明了该系统能够高效、可靠地运行.     

自抗扰控制器在火电厂主蒸汽温度控制中的仿真研究

针对火电厂主蒸汽温度控制系统的大时滞、大惯性以及动态特性随工况变化而变化的不确定性等特点,提出了自抗扰控制器(ADRC)主蒸汽温度控制方案.该方案采用导前温度信号作为辅助反馈信号,构成ADRC-P串级双回路控制系统.利用MATLAB软件进行仿真实验的结果表明,采用该方法建立的主蒸汽温度控制系统,具有较好的控制品质和较强的自适应能力.     

Robust SVM-direct torque control of induction motor based on sliding mode controller and sliding mode observer

This paper proposes a design of control and estimation strategy for induction motor based on the variable structure approach. It describes a coupling of sliding mode direct torque control (DTC) with sliding mode flux and speed observer. This algorithm uses direct torque control basics and the sliding mode approach. A robust electromagnetic torque and flux controllers are designed to overcome the conventional SVM-DTC drawbacks and to ensure fast response and full reference tracking with desired dynamic behavior and low ripple level. The sliding mode controller is used to generate reference voltages in stationary frame and give them to the controlled motor after modulation by a space vector modulation (SVM) inverter. The second aim of this paper is to design a sliding mode speed/flux observer which can improve the control performances by using a sensorless algorithm to get an accurate estimation, and consequently, increase the reliability of the system and decrease the cost of using sensors. The effectiveness of the whole composed control algorithm is investigated in different robustness tests with simulation using Matlab/Simulink and verified by real time experimental implementation based on dS pace 1104 board.     

An adaptive sliding mode observer based near-optimal OER tracking control approach for PEMFC under dynamic operation condition

Tracking control of oxygen excess ratio (OER) is crucial for dynamic performance and operating efficiency of the proton exchange membrane fuel cell (PEMFC). OER tracking errors and overshoots under dynamic load limit the PEMFC output power performance, and also could lead oxygen starvation which seriously affect the life of PEMFC. To solve this problem, an adaptive sliding mode observer based near-optimal OER tracking control approach is proposed in this paper. According to real time load demand, a dynamic OER optimization strategy is designed to obtain an optimal OER. A nonlinear system model based near-optimal controller is designed to minimize the OER tracking error under variable operation condition of PEMFC. An adaptive sliding mode observer is utilized to estimate the uncertain parameters of the PEMFC air supply system and update parameters in near-optimal controller. The proposed control approach is implemented in OER tracking experiments based on air supply system of a 5 kW PEMFC test platform. The experiment results are analyzed and demonstrate the efficacy of the proposed control approach under load changes, external disturbances and parameter uncertainties of PEFMC system.     

槽式太阳能集热场出口温度的双模态模型预测抗干扰控制研究

槽式太阳能集热场出口温度的控制因其受到干扰的影响并未很好解决.针对该问题,该文提出一种双模态模型预测抗干扰方法.包括:将槽式太阳能集热场中除可测干扰外的所有扰动当成集总干扰,然后提出一种改进的干扰观测器用来观测前述集总干扰,最后观测值作为前馈信号被补偿到基于双模态模型预测控制的反馈控制器中以消除扰动的影响,并给出闭环系...     

A New Approach for Vehicle Lateral Velocity and Yaw Rate Control with Uncertainty

In order to attain excellent stability and maneuverability to ensure safety and ride‐comfort, the lateral velocity and yaw rate of a vehicle are expected to be controlled at any desired values simultaneously. A basic manipulation model of a vehicle with two degrees of freedom which requires two independent control inputs (front and rear steering angle) is constructed. In this model, we consider the mass and the moment of inertia of the vehicle are the uncertain parameters which are (possibly) fast‐varying. However, no further information, except that the uncertainties are bounded, is assumed. Furthermore, the bound is unknown. An adaptive robust control methodology based on the Udwadia and Kalaba approach which guarantees uniform boundedness and uniform ultimate boundedness is proposed to drive the system to follow the pre‐specified constraints approximately. The adaptive law is of leakage type which can adjust itself based on the tracking error. The numerical simulation results conducted by MATLAB demonstrate the ease and effectiveness of implementation.