首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到20条相似文献,搜索用时 156 毫秒
1.
In this paper, a technique is presented to determine the stability margin of the discrete systems using recursive algorithm for power of companion matrix and Gerschgorin Theorem and hence sufficient condition of stability is obtained. The method is illustrated with an example and it is compared with other methods proposed in the literature. The results have applications in the filter design.  相似文献   

2.
It is very important to maintain the level of mean arterial pressure (MAP). The MAP control is applied in many clinical situations, including limiting bleeding during cardiac surgery and promoting healing for patient' s post-surgery. This paper presents a fuzzy controller-based multiple-model adaptive control system for postoperative blood pressure management. Multiple-model adaptive control (MMAC) algorithm is used to identify the patient model, and it is a feasible system identification method even in the presence of large noise. Fuzzy control (FC) method is used to design controller bank. Each fuzzy controller in the controller bank is in fact a nonlinear proportional-integral (PI) controller,whose proportional gain and integral gain are adjusted continuously according to error and rate of change of error of the plant output, resulting in better dynamic and stable control performance than the regular PI controller, especially when a nonlinear process is involved. For demonstration, a nonlinear, pulsatile-flow patient model is used for simulation, and the results show that the adaptive control system can effectively handle the changes in patient's dynamics and provide satisfactory performance in regulation of blood pressure of hypertension patients.  相似文献   

3.
Backlash-like hysteresis is one of the nonsmooth and multi-valued nonlinearities usually existing in mechanical systems. The traditional identification method is quite difficult to be used to model the systems involved with such complex nonlinearities. In this paper, a nonsmooth recursive identification algorithm for the systems with backlash-like hysteresis is proposed. In this method, the concept of Clarke subgradient is introduced to approximate the gradients at nonsmooth points and the so-called bundle method is used to obtain the optimization search direction in nonsmooth cases. Then, a recursive algorithm based on the idea of bundle method is developed for parameter estimation. After that, the convergence analysis of the algorithm is investigated. Finally, simulation results to validate the proposed method on a simulated mechanical transmission system are presented.  相似文献   

4.
Considering the situation that the least-squares (LS) method for system identification has poor robustness and the least absolute deviation (LAD) algorithm is hard to construct, an approximate least absolute deviation (ALAD) algorithm is proposed in this paper. The objective function of ALAD is constructed by introducing a deterministic function to approximate the absolute value function. Based on the function, the recursive equations for parameter identification are derived using Gauss-Newton iterative algorithm without any simplification. This algorithm has advantages of simple calculation and easy implementation, and it has second order convergence speed. Compared with the LS method, the new algorithm has better robustness when disorder and peak noises exist in the measured data. Simulation results show the efficiency of the proposed method.  相似文献   

5.
It is very important to maintain the level of mean arterial pressure (MAP) . The MAP control is applied in many clinical situations ,including limiting bleeding during cardiac surgery and promoting healing for patient’s post-surgery. This paper presents a fuzzy controller- based multiple-model adaptive control system for postoperative blood pressure management . Multiple-model adaptive control (MMAC) algorithm is used to identify the patient model ,and it is a feasible system identification method even in the presence of large noise. Fuzzy control (FC) method is used to design controller bank. Each fuzzy controller in the controller bank is in fact a nonlinear proportional- integral (PI) controller ,whose proportional gain and integral gain are adjusted continuously according to error and rate of change of error of the plant output , resulting in better dynamic and stable control performance than the regular PI controller , especially when a nonlinear process is involved. For demonstration , a nonlinear , pulsatile-flow patient model is used for simulation ,and the results show that the adaptive control system can effectively handle the changes in patient’s dynamics and provide satisfactory performance in regulation of blood pressure of hypertension patients.  相似文献   

6.
This paper addresses the design problem of robust iterative learning controllers for a class of linear discrete-time systems with norm-bounded parameter uncertainties. An iterative learning algorithm with current cycle feedback is proposed to achieve both robust convergence and robust stability. The synthesis problem of the proposed iterative learmng control (ILC) system is reformulated as a γ-suboptimal H-infinity control problem via the linear fractional transformation (LFT). A sufficient condition for the convergence of the ILC algorithm is presented in terms of linear matrix inequalities (LMIs). Furthermore, the linear wansfer operators of the ILC algorithm with high convergence speed are obtained by using existing convex optimization techniques. The simulation results demonstrate the effectiveness of the proposed method.  相似文献   

7.
This paper describes a supervisory hierarchical fuzzy controller (SHFC) for regulating pressure in a real-time pilot pressure control system. The input scaling factor tuning of a direct expert controller is made using the error and process input parameters in a closed loop system in order to obtain better controller performance for set-point change and load disturbances. This on-line tuning method reduces operator involvement and enhances the controller performance to a wide operating range. The hierarchical control scheme consists of an intelligent upper level supervisory fuzzy controller and a lower level direct fuzzy controller. The upper level controller provides a mechanism to the main goal of the system and the lower level controller delivers the solutions to a particular situation. The control algorithm for the proposed scheme has been developed and tested using an ARM7 microcontroller-based embedded target board for a nonlinear pressure process having dead time. To demonstrate the effectiveness, the results of the proposed hierarchical controller, fuzzy controller and conventional proportional-integral (PI) controller are analyzed. The results prove that the SHFC performance is better in terms of stability and robustness than the conventional control methods.  相似文献   

8.
A nonlinear repetitive controller is proposed. The new method is mainly composed of a repetitive control part and a deadband relay. Whenever the input error goes beyond the range of the deadband relay, the control loop is driven dominantly by the deadband relay to obtain fast dynamic response and meanwhile to avoid the saturation of the repetitive control part. After the input error falls within the range of the deadband relay, the deadband relay automatically turns off and the repetitive control alone governs the current control to eliminate the steady state error. A systematic methodology is established and it is linked to the conventional control system design. The proposed scheme is practically applied to the current control of active filter. Experimental results verified the feasibility of the proposed method.  相似文献   

9.
Although computer architectures incorporate fast processing hardware resources, high performance real-time implementation of a complex control algorithm requires an efficient design and software coding of the algorithm so as to exploit special features of the hardware and avoid associated architecture shortcomings. This paper presents an investigation into the analysis and design mechanisms that will lead to reduction in the execution time in implementing real-time control algorithms. The proposed mechanisms are exemplified by means of one algorithm, which demonstrates their applicability to real-time applications. An active vibration control (AVC) algorithm for a flexible beam system simulated using the finite difference (FD) method is considered to demonstrate the effectiveness of the proposed methods. A comparative performance evaluation of the proposed design mechanisms is presented and discussed through a set of experiments.  相似文献   

10.
一类欠驱动机械系统的动态及其稳定控制   总被引:1,自引:0,他引:1  
Abstract The control of underactuated mechanical systems is very complex for the loss of its control inputs. The model of underactuated mechanical systems in a potential field is built with Lagrangian method and its structural properties are analyzed in detail. A stable control approach is proposed for the class of underactuated mechanical systems. This approach is applied to an unde ractuated double-pendulum-type overhead crane and the simulation results illustrate the correctness of dynamics analysis and validity of the proposed control algorithm.  相似文献   

11.
针对基于微机电系统(MEMS)的惯性导航系统中陀螺噪声较大导致姿态漂移的问题,本文基于递推最小二乘(RLS)与互补滤波器提出一种提高姿态估计精度的方法.该方法从陀螺去噪算法和姿态解算原理两个方面提高姿态估计精度:在陀螺去噪方面,为克服传统递推最小二乘的不足,提出一种随机加权的递推最小二乘法,利用随机加权实现对偏差的估计;在姿态解算方面,在传统互补滤波器的基础上通过自适应调整比例-积分(PI)参数来调整滤波器的交接频率,最终得到陀螺积分值的高通滤波和加速度计的低通滤波的叠加.转台静态和动态实验结果表明,使用本文所提方法后,有效降低了陀螺噪声,姿态估计精度明显提升.  相似文献   

12.
针对有源滤波器(APF)在无功补偿过程出现谐振的问题,为提高动态无功补偿中使用的控制算法的动态响应能力,提出一种新的基于有限控制集模型预测控制(FCS-MPC)的动态无功补偿策略.该策略是基于LCL滤波器方程的模型来预测系统状态并优化控制,同时采用多变量结构控制和自适应陷波滤波器来抑制共振,跟踪负载无功功率的波动和突变,提升HAPF的动态响应能力.并通过仿真和实际结果证明了FCS-MPC在HAPF无功控制中的可行性,设备的动态响应明显提高.结果 表明,FCS-MPC在HAPF无功控制中可以快速跟踪负载无功功率变化,有效抑制APF中出现的谐振且系统的动态响应能力明显提升.  相似文献   

13.
本文考虑了基于加权平方误差准则线性相位FIR数字滤波器的设计问题,提出一种随机抽样递推最小二乘(RS-RLS)设计方法.将设计问题看成一个线性系统的辨识问题,辨识参数所需的数据由一随机抽样法产生,辨识算法采用递推最小二乘法上RS-RLS设计法简单易用,设计范例说明这一方法具有很高的设计精度.  相似文献   

14.
Hybrid active power filter (HAPF) is an advanced form of harmonic filter combining advantages of both active and passive filters. In HAPF, selection of active filter gain, passive inductive and capacitive reactances, while satisfying system constraints on individual and overall voltage and current harmonic distortion levels, is the main challenge. To optimize HAPF parameters, this paper proposes an approach based on differential evolution (DE) algorithm called L-SHADE. SHADE is the success history based parameter adaptation technique of DE optimization process for a constrained, multimodal non-linear objective function. L-SHADE improves the performance of SHADE with linearly reducing the population size in successive generations. The study herein considers two frequently used topologies of HAPF for parameter estimation. A single objective function consisting of both total voltage harmonic distortion (VTHD) and total current harmonic distortion (ITHD) is formulated and finally harmonic pollution (HP) is minimized in a system comprising of both non-linear source and non-linear loads. Several case studies of a selected industrial plant are performed. The output results of L-SHADE algorithm are compared with a similar past study and also with other well-known evolutionary algorithms.  相似文献   

15.
传统滞环电流控制开关频率不固定,输出频谱范围宽,滤波较困难,以串联谐振注入式混合有源电力滤波器(SRIHAPF)为例,在传统滞环控制的基础上加以改进,并结合比例谐振积分控制算法,提出一种复合控制算法作为该滤波器的电流跟踪控制算法.避免了传统滞环控制开关频率不固定和比例谐振积分达到系统稳定延时长的缺点.该算法准确性高,跟踪效果好,运用Matlab进行了仿真和实验验证.仿真和实验结果证明,该复合控制算法能够提高滤波器的电流跟踪性能和谐波补偿效果.  相似文献   

16.
提出一种新颖的高压大容量混合型有源电力滤波电路(HAPF).无源支路在补偿无功功率的同时还可以滤除因非线性负载产生的特征谐波电流.有源部分通过耦合变压器与基波串联谐振电路并联构成串联谐振注入式混合有源滤波器.详细介绍该新型结构的基本工作原理,分析其谐波补偿特性及谐振抑制特,并对其有源部分的参数设计进行研究.依此方法为某矿厂研制了高压大容量混合型有源电力滤波装置,运行结果表明该装置能很好的满足工程需要.  相似文献   

17.
基于粒子滤波的机动目标跟踪算法仿真研究   总被引:4,自引:0,他引:4  
针对非线性多目标模型,应用粒子滤波算法,这种方法不受模型线性和Gauss假设的约束,是一种处理非线性非高斯动态系统状态递推估计的有效算法。在粒子滤波的基础上融合扩展卡尔曼滤波算法和无迹卡尔曼滤波算法。融合后的新算法在计算提议概率密度分布时,粒子的产生充分考虑当前时刻的量测,使得粒子的分布更加接近状态的后验概率分布,再用平滑算法处理滤波的结果。仿真结果表明,算法有较好的跟踪效果。  相似文献   

18.
通过分析在速度控制运行模式的雕刻机系统输入角速度与输出位置之间的机理关系,将其系统利用一个积分因子和一个稳定传递函数相连接的模型进行模拟.通过引入微分滤波器对采样数据进行处理,将难以辨识的临界不稳定积分模型转换成易于辨识的稳定模型.提出一种能够精确估计带积分因子的递推最小二乘算法,并采用辅助变量法消除因滤波引起的有色噪声的影响.所提出算法可以确保在开环状态下对积分系统进行精确估计.针对多轴雕刻机运动控制系统,提出一种基于中间观测器的容错跟踪控制算法.针对与输入通道匹配的过程故障,设计基于故障估计值的容错控制反馈率以进行有效补偿;对于不匹配故障,通过调节中间观测器增益实现充分抑制.最后,通过与现有算法进行对比实验,验证了所提出算法的可行性和优越性.  相似文献   

19.
In this paper, we consider the problem of global set‐point tracking control for a class of nonlinear systems with dynamic uncertainty. Unlike the existing works, the investigated system is with the integral input‐to‐state stable (iISS) inverse dynamics and more general uncertain nonlinearities. By using a recursive design method, a partial‐state feedback controller is designed. The tuning function technique is applied in this procedure to avoid the overparametrization. It is shown that the developed control procedure could guarantee that the tracking error is driven to the origin and the other signals are bounded. In addition, it can also reduce to a linear or even a classical PI control law under some sufficient conditions. Simulation results are illustrated to show the effectiveness of the proposed algorithm. Copyright © 2010 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society  相似文献   

20.
针对传统最小二乘算法计算量大、在有色噪声干扰下估计有误差的问题,提出了一种基于滤波技术的带协方差重置的递推贝叶斯算法。该算法首先使用一个动态非线性滤波器对输入输出数据进行滤波,然后使用贝叶斯方法进行参数估计。同时,为了加快参数的收敛速度,在算法中加入了一种新型的协方差重置策略。计算量分析表明,当过程模型和噪声模型的阶数分别为6和4的时候,所提算法可以减少约62.35%的计算量。仿真结果显示,所提算法与传统最小二乘算法在采样数据长度为3000时的估计误差分别为0.771%和1.118%。因此,所提算法具有较高的计算效率,并且可以给出精度较高的参数估计值。  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号