血药浓度最优控制系统的状态观测器设计

为使血药浓度最优控制律成为现实可行的、有效的控制手段。设计了结构简单的全维状态观测器。     

车辆质心侧偏角估计算法设计与对比分析

车辆质心侧偏角是描述车辆侧向运动状态的重要变量之一,同时也很难准确估计.为此设计了基于运动学的直接积分法,基于扩展卡尔曼滤波的质心侧偏角估计算法和基于广义龙贝格观测器的质心侧偏角估计算法.对信号引入一定强度的噪声,通过多种典型工况对质心侧偏角估计算法进行调试与验证,分析不同算法的特点和工况适应性.直接积分法在长时间尺度下无可用性,但在极限工况下能较为快速地描述质心侧偏角变化趋势;卡尔曼滤波算法整体估计效果较好,但在一些动态工况存在估计偏差,且多为高估;龙贝格观测器算法在大部分工况都能获得良好效果,但在某些情况下存在估计偏差,且多为低估.     

车用乙醇汽油体积分数估计

为获得精确的乙醇体积分数,在发动机进气模型的基础上,设计了高增益观测器估计歧管压力,并对观测器误差进行了收敛性和稳定性分析.设计PI控制器对空燃比进行控制,使过量空气系数趋于理论值.利用PI控制器输出的燃油反馈信号,通过积分清零运算得出化学计量空燃比(Rs),根据Rs与乙醇体积分数的关系计算得出乙醇体积分数估计值.仿真结果表明:乙醇体积分数估计时间在2s以内,估计误差绝对值小于1%,满足汽车的排放性和经济性要求.     

基于模糊神经滑模观测器的永磁同步电机无传感器控制

为了解决传统滑模观测器的抖振问题,提出了一种用于永磁同步电机的模糊神经滑模观测器。分析了滑模增益对抖振的影响,并采用模糊神经网络动态调整滑模增益以改善抖振,利用李雅普诺夫函数证明了模糊神经网络观测器的稳定性。利用锁相环方法提取转子位置与速度信息,减小由高频噪声引起的误差。仿真结果表明:改进后的滑模观测器能够对永磁同步电机转子位置进行精确辨识,有效地抑制了抖振,实现了高性能的永磁同步电机无传感器控制。     

中医五行学说思维模型研究

研究中医五行学说思维模型,根据五行系统的特点,结合线性系统控制理论,通过把五行矩阵对角化,得到五行系统可镇定的充要条件和状态观测器存在的充要条件,并给出具体的求解算法．     

Universal prediction-based adaptive fault estimator applied to secure communication

In this paper, a communication scheme that could use a nonlinear dynamical system to create encrypted keys with an additional dimension is proposed, and the scheme could keep encrypted keys not to diverge. Since the divergence of encrypted keys (nonlinear signals) easily happens in non-linear systems coupled with other systems, the adaptive control approach, proposed in this paper, uses the universal state-space adaptive observer-based fault diagnosis/estimator and the high-performance tracker to eliminate the divergence of encrypted keys. At the same time, the receiver of communication retrieves informal messages by the universal state-space adaptive observer-based fault diagnosis/estimator and the high-performance tracker. Thus, this paper takes advantage of the merit of digital redesign methodology for a practical implementation of secure-communication, and the estimator solves the problem of secure communication. Thus developed a new approach could add more dimensions into nonlinear secure-communication systems without having the problem of divergence of encrypted keys.     

Further results on adaptive full-order and reduced-order observers for Lur’e differential inclusions

This paper is concerned with the adaptive observer design of Lur’e differential inclusions with unknown parameters. Under a relaxed assumption on nonlinear perturbation functions, a sufficient condition for the existence of an adaptive full-order observer is established. Comparing with results in the literature, the present conditions are complemented with a numerically reliable computational approach, which can be checked by means of linear matrix inequalities. Furthermore, it is shown that, under the sufficient condition, the existence of a reduced-order observer is guaranteed. Also, the reduced-order observer is designed. The effectiveness of the proposed design is illustrated via a simulation example.     

Sampled-data nonlinear observer design for chaos synchronization: A Lyapunov-based approach

This paper considers sampled-data based chaos synchronization using observers in the presence of measurement noise for a large class of chaotic systems. We study discretized model of chaotic systems which are perturbed by white noise and employ Lyapunov-like theorems to come up with a simple yet effective observer design. For the choice of observer gain, a suboptimal criterion is obtained in terms of LMI. We present semiglobal as well as global results. The proposed scheme can also be extended for discrete-time chaotic systems. Numerical simulations have been carried out to verify the effectiveness of theoretical results.     

Leader‐following consensus problem of heterogeneous multi‐agent systems with nonlinear dynamics using fuzzy disturbance observer

This article considers the leader‐following consensus problem of heterogeneous multi‐agent systems. The proposed multi‐agent system is consisted of heterogeneous agents where each agents have their own nonlinear dynamic behavior. To overcome difficulty from heterogeneous nonlinear intrinsic dynamics of agents, a fuzzy disturbance observer is adopted. In addition, based on the Lyapunov stability theory, an adaptive control method is used to compensate the observation error caused by the difference between the unknown factor and estimated values. Two numerical examples are given to illustrate the effectiveness of the proposed method. © 2013 Wiley Periodicals, Inc. Complexity 19: 20–31, 2014     

一种基于干扰观测器的内模控制方法

为保证内模控制的可实现性以及满足鲁棒性需要引入滤波器，但是滤波器的存在会导致跟踪滞后和无法有效抑制正弦扰动。针对这一问题本文提出了一种基于干扰观测器（DO）的内模控制方法。该方法能够抑制由阶跃扰动和正弦扰动组成的复合扰动：通过观测器可以对正弦干扰进行观测和补偿，内模控制器抑制阶跃干扰和观测器的补偿误差。对单机械臂的仿真证明了该方法的有效性。