变结构自校正模糊控制系统设计及其应用

本文以木段蒸煮控制为背景,根据控制规则排序,协调因子以及等级自校正等理论和算法,提出了变结构自校正模糊控制系统设计方法。本文主要解决了乐观和悲观的混合决策以及控制量论域等级的自校正调节问题。应用本文设计方法,设计了水段蒸煮微机控制系统。现场运行结果表明,该系统性能良好,效益显著。     

多变量模糊自校正控制器及其应用

本文介绍了表达ＭＩＳＯ动态系统的模糊模型，并提出了有关参数和结构的在线辨识算法。根据辨识的模糊模型，利用Ｃｌａｒｋｅ的单变量广义预测控制（ＧＰＣ）原理［１］设计了多变量模糊自校正控制器。仿真研究表明，该模糊自校正控制方法应用于火电机组负荷系统的控制，可以收到良好的效果。     

一种H∞推理控制器

利用推理控制系统I/O模型和多项式方程方法,对被控输出采样周期长的系统提 出H∞推理控制系统设计方法,把推理控制与鲁棒性设计更为直接地结合起来,定量地给出 推理控制系统的鲁棒性.     

改进Smith预估控制系统用于甲醛生产控制

针对甲醛生产过程中氧醇比控制中大滞后延迟的难点,设计了改进的史密斯预估控制系统,并实现了对该系统的计算机仿真.通过调节热水阀门控制氧醇比不能彻底解决系统的大滞后问题,因此在调节器的设计上采用了史密斯预估控制算法,对系统的大滞后进行了补偿.同时又设计了模糊自校正控制,进一步提高控制系统的控制品质.     

时变系统中数字LQG自动调节器和跟踪器的计算方法

数字ＬＱＧ自动调节器和跟踪器提供了包含数据采样、分段常数控制及积分准则的实数字控制（ｒｅａｌｄｉｇｉｔａｌｃｏｎｔｒｏｌｐｒｏｂｌｅｍｓ）的求解方法。已有的各种文献对数字ＬＱ，自动调节器数值计算的讨论只限于非时变系统和有关准则（指标）矩阵等范畴。非线性随机系统对状态轨迹的控制往往是通过基于轨进线性化动力学理论的ＬＱＧ自动调节器来完成的，该调节器构成一个时变系统。本文给出了时变系统及时变指标矩阵的数字ＬＱＧ自动调节器及跟踪器的一种计算方法，最后给出了一个计算实例。     

线性时变系统的分散自校正控制*

本文对由存在有界扰动和非线性关联的子系统组成的线性时变离散大系统提出了一种多项式逼近的分散自校正控制算法。也可用神经网络去实现自校正控制，采用神经网络作为预报和控制器，网络学习算法用Ｗｉｄｒｏｗ－Ｈｏｆｆ规则。证明了这种分散自校正控制系统的稳定性，仿真结果表明系统是稳定的，可以很好地跟踪期望输出。     

隧道窑炉自校正控制装置的研究与实现

本文的研究工作,是在大型耐火材料隧道窑炉上具体完成的.论述了本隧道窑系统实现自校正控制的可能性,针对本系统对最小方差自校正和经典PID控制进行了对比仿真研究,得出了在本控制系统上最小方差自校正控制确实优于经典PID控制的结论.最后,在隧道窑炉上具体实现了最小方差自校正控制并取得了满意的控制效果.     

一类不规则损失输出数据系统的自校正PID控制算法

针对输出误差模型描述的不规则损失输出数据系统,提出一种自校正PID控制算法。首先结合辅助模型辨识思想和最小二乘原理设计参数估计器,在线估计系统参数,并设计一个损失输出估计器来估算采样间损失输出,使控制系统得到一个具有与期望输出相同采样周期的反馈信号;再根据系统参数的估计值实时调整自校正PID控制器参数,使系统实际输出跟踪期望输出,实现自校正PID控制。仿真结果验证了该算法的有效性。     

一种改进的H~∞鲁棒自校正控制

指出英国学者Ｇｒｉｍｂｌｅ推出的Ｈ∞鲁棒自校正控制不能使系统所有闭环极点配置在预定区域的问题，介绍基于一种Ｗ变换的、具有预定闭环极点区域的Ｈ∞鲁棒自校正控制的设计方法，并给出了这种改进的Ｈ∞鲁棒控制的频域分析，最后给出了一个例子．     

基于遗传算法的模糊PID控制在水轮发电机组中应用研究

水轮发电机组系统是一复杂的系统,常规PID控制很难满足高性能控制要求,本文设计了一自适应模糊PID控制器,模糊推理系统可在线整定PID参数,模糊控制系统的隶属函数和推理规则采用遗传算法优化。仿真实验表明这是一种有效的控制策略,尤其在启停机过程及负载扰动过程较传统PID控制具有更好的鲁棒性和稳定性。     

Subspace identification based inferential control applied to a continuous pulp digester

The idea of constructing a data-driven stochastic system model through subspace identification for the purpose of inferential control is investigated. Various available methods for designing an inferential controller are discussed and their limitations are brought out, particularly in applications involving multi-variable processes. Practical issues that arise in identifying a system model geared toward inferential control using a subspace method are discussed. They include: handling of nonstationary disturbances, handling of multi-rate measurements/missing data, and secondary measurement selection. With the identified stochastic system model, a multi-rate Kalman filter can be designed and coupled with a model predictive controller. The method is applied to a continuous pulp digester, which is a complex distributed parameter system involving heterogeneous reactions. The application study indicates much potential for the data-based approach.     

变结构推理控制系统的设计

推理控制具有良好的抗扰能力和稳态性能，但是需要模型的误差在一定的范围内，而变结构控制对系统参数变化不敏感，具有较好的鲁棒性。该文通过分析，采用降维状态观测器，获取被控对象的状态，并与模型状态相比较而产生的状态误差，结合变结构控制律的设计方法，设计了一个变结构推理控制系统，降低了推理控制对模型精度的要求，只要将变结构控制产生的抖振控制在允许的范围内，就可改善系统控制性能，仿真例子说明了方法的有效性。     

斜轧穿孔机导盘转速的建模与控制

通过对驱动斜轧穿孔机狄塞尔导盘液压系统的分析, 推导出了导盘转速控制模型. 用软测量方法对模型中的负载力矩进行了预测, 并利用前馈控制算法来抵消系统的负载力矩扰动. 由于软测量模型有一定的误差, 故采用 了推理控制算法来抵消其不准确部分. 最后形成了前馈和推理的复合控制算法作为导盘转速控制系统的控制器. 仿真证明了控制系统的准确性、鲁棒性和快速响应性.     

连续型推理控制及其在张力伺服系统中的应用

给出了一种适用于工程常见的二阶对象的连续型推理控制算法,以及推理控制系统的稳定性和收性。该控制算法简单,仅有一可调参数Ｑ并成功地应用于薄膜电容器全自动卷绕机中作为快速张力伺服控制,取得满意效果。     

Combined internal model and inferential control of a distillation column via closed-loop identification

A procedure for designing distillation control systems with spe cified nominal properties is presented. The desired behaviour of the control system for both setpoint changes and disturbances in the feed flow rate and the feed composition can be specified. Both types of specifications can be handled because the disturbances can be inferred from the behaviour of the inventory control system. The control system is realized as a combined internal model and inferential control (CIMIC) system. A disturbance rejecting and decoupling (DRD) control structure is obtained as a special case. The performance of the control system is demonstrated experimentally on a pilot-scale distillation column. For comparison, experiments with pure internal model control (IMC) are also illustrated. A preliminary model of the distillation column was determined from step tests carried out in open-loop operation, but the final model used in the control system designs was obtained via a control-relevant closed-loop identification.     

Quality inferential control of an industrial high density polyethylene process

The melt index (MI) is an important quality variable of control in polyolefin processes. However, it is difficult to measure this variable at frequent and regular sample intervals. A practical on-line inferential scheme is proposed in this paper for predicting the MI using secondary on-line measurements. This on-line MI inferential estimation scheme is combined with a quality control system that utilizes a two-degree of freedom cascaded model predictive controller. The proposed system has been successfully evaluated, under regulatory as well as tracking conditions, on an industrial polyolefin operation.     

Analysis of dual-rate inferential control systems

For a dual-rate control system where the output sampling interval is an integer multiple of the control interval, we propose a model-based inferential control scheme which uses a fast-rate model to estimate the intersample outputs and then supply them to a controller at the fast rate. Comparing such an inferential controller with the corresponding fast single-rate controller, we conclude that the former is no better in disturbance rejection capability; however, in the presence of model-plant mismatch, the former is advantageous in stability robustness of the closed-loop system.     

Nonlinear model based multivariable control of a debutanizer

The debutanizer column control is a major economic incentive to a refinery due to the importance of the product quality. The nonlinear model-based multivariable control on a debutanizer has shown to provide improved control performance of the top product and the bottom stream qualities using a steady-state process model with approximate dynamics. The control performance is much better than that achieved by the traditional PID-type control system. This paper outlines the non-linear control method applied to an industrial debutanizer and discusses the use of inferential models to predict the iso-pentane contents in the overhead stream and the Reid vapour pressure (RVP) in the bottom stream, in nonlinear control applications.     

基于软测量的化工精馏过程推断控制策略

针对化工精馏过程产品成分无法在线检测及其用温度间接控制产品成分的常规控制策略存在着控制精度低的问题,提出基于软测量的精馏过程成分非线性串级推断控制策略。该控制策略首先提出核岭回归的实时软测量方法,即利用满足Mercer条件的核函数改进线性岭回归算法,实现精馏过程产品成分的在线检测;然后在此基础上,提出一种新的非线性串级推断控制策略,即副环采用常规的温度间接控制,主环采用基于核岭回归软测量的推断控制策略。通过Mejedell等建立的精馏塔动态模型分别对单端和双端成分非线性串级推断控制策略性能进行分析,仿真结果表明,与传统控制方案比较,新控制策略的控制质量有了较大提高,控制结构简单,易于实施。