基于继电反馈的内模控制方法研究

工业过程中存在着很多不稳定时滞过程,使用传统的IMC方法对其进行控制只有一个可调参数,是一种一自由度控制器,不具有使系统同时获得良好的目标值跟踪特性和干扰抑制特性的能力,而且不能用于不稳定过程的控制,因此本文提出了一种改进的二自由度IMC方法,仿真结果表明该方法能够使不稳定时滞系统获得良好的目标值跟踪特性和干扰抑制特性,且具有一定的鲁棒性.     

基于预测控制的随动系统研究

本文从预测控制的３个控制算法机理出发来分析预测控制在随动系统中的应用并通过仿真证明它不仅比常规控制具有更好的跟踪性能,而且具有满意的鲁棒性。     

基于时滞系统IMC-PID的设计与整定

时滞系统的控制过程具有较大的时滞性、开环的不稳定性及明显的非线性,需要引进更为先进的控制算法——内模PID控制算法,在设计系统时希望系统性能不会受中间因素的影响。鲁棒性是闭环系统的一个非常重要的性能指标。增益域度和相位域度常为系统鲁棒性的性能指标,但在有些情况下并不能真正表征系统鲁棒性,特别是具有异常频率响应曲线的系统。对于这种系统,灵敏度则能在系统所有频率范围内满足相应的约束条件,因而最大灵敏度也作为闭环系统鲁棒性能指标。通过对时滞系统中内模PID控制中鲁棒性能指标的整定,从而能够较为精确的整定内模PID控制器参数。     

重复轨迹运动迭代学习控制的频域分析

应用频域分析方法讨论了一类闭环迭代学习算法的收敛条件和性能,指出其比Arimoto开环迭代学习算法具有明显的优越性,并在讨论迭代收敛条件的基础上给出了闭环迭代学习算法的频域设计方法.     

一种实用的预测控制实现技术

本文根据预测控制的鲁棒性特征，针对工业过程控制中的一类对象，提出了一种工程中易于实现的参数调整方法。并给出了用这一方法实现的实际电炉系统的控制结果。     

基于现场总线的锅炉水给药预测及加药控制模型设计

当前的锅炉水处理加药控制方法缺乏对加药后水体化学变化的预测,导致加药控制结果不理想,为此在现场总线的控制下设计锅炉水的给药预测及加药控制模型。选择82C150型号的总线通信控制器作为控制模型的核心,控制相关设备以及锅炉加药过程。通过建立动态内模控制修正加药参数,确认控制器中的可实现因子;建立给药预测模型,对加药后的结果进行预测,当预测结果不佳时,则对加药参数进行再次修正,否则执行加药程序,实现加药控制。实验结果表明,所设计给药预测模型的准确率较高,应用设计的加药控制模型后,锅炉水处理的各项指标符合要求,证明加药控制方法具有较高的可行性。     

模糊预测函数控制在主汽温控制中的应用

火电厂主汽温被控对象具有大迟延、非线性时变的特性，且在实际运行中存在诸多可测与不可测的扰动。针对预测函数控制中模型失配影响的问题，本文提出了模糊推理对控制量进行补偿的预测函数控制方案。仿真结果表明，采用基于模糊补偿的PFC-P控制策略的串级主汽温系统，具有良好的控制品质．在适应性和鲁棒性上明显优于采用PID-P串级控制策略的主汽温系统。     

不确定性振动控制系统响应鲁棒性分析的三种分析方法

由于系统参数的不确定性，可能导致系统控制性能的变坏。因此，在结构振动控制中参数不确定性的概念将起到重要作用。文中讨论不确定性振动控制系统响应鲁棒性问题。系统的不确定参数可用三种模型描述，并给出响应鲁棒性分析的三种方法，最后给出这三种方法的比较，并用一个数值例子说明其应用及有效性。     

车内噪声主动控制系统鲁棒性分析与优化

针对多通道自适应陷波车内噪声主动控制系统存在的次级通路鲁棒性问题,首先,建立了系统的数学模型,定义评价系统降噪性能的收敛率和稳态误差增益;其次,结合理论推导、数值仿真和试验验证方法对系统次级通路鲁棒性问题进行深入分析,并推导了系统次级通路完全失配的边界条件,发现次级通路改变对系统稳态误差无影响,对系统收敛性的影响有正效...     

电梯机械振动的频域最优主动控制

电梯运行的舒适程度主要靠其机械振动控制,本文对控制率的设计主要通过H2频域的最优控制实现,H2范数从外扰的闭环系统到受控系统输出最小的传递函数阵。电梯轿厢的加速振动是闭环系统的反映信号,有利于工程中比较容易实现主动控制。我们通过仿真数值可以看出,频域的最优控制取得了较好的效果,极大的限制了闭环传递函数。     

Robust model predictive control design with input constraints

The paper addresses the problem of designing a robust output/state model predictive control for linear polytopic systems with input constraints. The new predictive and control horizon model is derived as a linear polytopic system. Lyapunov function approach guarantees the quadratic stability and guaranteed cost for closed-loop system. The invariant set and an algorithm approach similar to Soft Variable-Structure Control (SVSC), ensures input constraints for the model predictive plant control system. In the proposed control scheme, the required on-line computation load is significantly less than in MPC literature, which opens the possibility to use these control design schemes not only for plants with slow dynamics, but also for faster ones.     

基于MATLAB的广义预测控制设计方法

热工过程控制具有非线性、大迟延、大滞后、时变、耦合性和不确定性的特点,从而使控制难以得到满意的效果。而广义预测控制具有较强的鲁棒性、对模型要求低的特点。并且适用范围非常广泛。本文介绍了广义预测控制的基本原理和特点,并采用隐式广义预测算法在MATLAB中对单输入单输出系统进行验证。仿真结果表明该算法不仅大大减少了计算量。而且具有较好的控制效果。     

基于广义预测控制算法的水槽液位控制系统

为提高液位系统控制的可靠性和安全性,引入了广义预测控制算法。首先介绍了广义预测控制的基本算法,包括其基本理论、算法的优点及一些重要参数的选取标准。然后以水槽液位控制装置为控制对象建立了一个控制系统的数学模型,并对应用广义预测控制算法的该模型进行了仿真验证。仿真结果表明,所提出的算法具有良好的动态响应性能和快速跟踪设定值,并具有较好的控制效果。无论系统是否存在模型失配,只要控制系统是稳定的,就不会有静差。     

A distributed model predictive control based load frequency control scheme for multi-area interconnected power system using discrete-time Laguerre functions

This paper proposes a distributed model predictive control based load frequency control (MPC-LFC) scheme to improve control performances in the frequency regulation of power system. In order to reduce the computational burden in the rolling optimization with a sufficiently large prediction horizon, the orthonormal Laguerre functions are utilized to approximate the predicted control trajectory. The closed-loop stability of the proposed MPC scheme is achieved by adding a terminal equality constraint to the online quadratic optimization and taking the cost function as the Lyapunov function. Furthermore, the treatments of some typical constraints in load frequency control have been studied based on the specific Laguerre-based formulations. Simulations have been conducted in two different interconnected power systems to validate the effectiveness of the proposed distributed MPC-LFC as well as its superiority over the comparative methods.     

基于单片机和变频调速控制的液压升降台平稳性设计

对液压升降台的运行平稳性进行了运动学分析。根据分析结果，利用单片机和变频调速控制技术，设计制作出了高平稳性的液压升降平台，在实际使用中获得了良好的效果，为提高液压升降平台的平稳性设计提供了一种新的方法。     

SISO extended predictive control: implementation and robust stability analysis

The proposed algorithm of extended predictive control (EPC) represents an exact method for removing the ill-conditioning in the system matrix by developing a unique weighting structure for any control horizon. The main feature of the EPC algorithm is that it uses the condition number of the system matrix to evaluate a single tuning parameter that provides a specified closed-loop response. Robust analysis demonstrated that EPC is more robust in comparison with move-suppressed and m-shifted predictive controllers in all aspects of process variation in gain, delay, and time-constant ratios. Tuning of EPC is effective and simple since there is a direct relationship between closed-loop performance and its tuning parameter.     

基于重复控制和预测控制的逆变器控制特性分析

为了改善整流性负载下逆变器的输出电压畸变,首先提出了重复控制和电流预测控制相结合的控制策略,并分别对重复控制和电流预测控制进行了稳定性分析,然后给出了重复控制器和预测控制器的控制参数设计方法,最后在实验平台上对控制特性进行了验证。,实验结果表明,重复控制能有效抑制整流性负载下的电压波形畸变,电流预测控制能提高系统的动态性能。     

Robust and nominal stability conditions for a simplified model predictive controller

A new condition is derived that guarantees robust stability for a set of stable, linear time-invariant plants controlled by using a simplified model predictive control algorithm (SMPC). Discrete single-input-single-output control systems are considered in this paper. Uncertainty is treated in the time domain by considering the stabilization of a set of pulse response functions. The method presented is suitable for stabilizing a set of plants that are not necessarily related. Central to this method is a bounding function, which is a function of the model and controller parameters. The bounding function is designed to have a larger magnitude than all of the pulse response functions in the set of plants to be stabilized. Using this method, it was found that the bounding function is monotonically decreasing when a first-order plus dead-time model is used to design the controller. This allows the coincidence point used in SMPC to be employed directly as a tuning "knob" for robustness, and also simplifies the analysis for dead-time uncertainty. In addition, a comparison of two nominal stability conditions is provided.     

A continuous analysis of multi-input, multi-output predictive control

A continuous formulation and method of analysis is constructed for multi-input, multi-output (MIMO) predictive control and used to compare Dynamic Matrix Control (DMC) with Simplified Predictive Control (SPC). Approximate characteristic equations are derived for each of DMC and SPC and these are used to determine, and thus compare, the closed-loop control behaviour of these methods at times long compared with the sampling time. The MIMO control problem considered is the general case of control over two coupled zones of a first order, linear process where a single control move is simultaneously input into each zone and a single output or measurement, is made from within each zone. The analytical results are illustrated through MIMO control of the terminal composition of a binary distillation column. A practically important result is an analytic basis to understand previous experimental observations that, for a wide range of processes, SPC appears to be as capable as the more sophisticated DMC. Furthermore, it is also shown here that SPC is well-conditioned over its entire parameter range in contrast to DMC. This well-conditioned behaviour makes it especially suitable for remote applications where unknown, and variable timing of future moves may be a significant issue.