Generalized predictive control is one of the typical predictive control methods, and it is widely used in industry 广义预测控制是有代表性的预测控制算法之一,并被广泛应用于工业过程中。
And then a fuzzy model-based adaptive predictive control method according to the characters of the thermal engineering processes in power stations is presented based on the analyses of fuzzy identification and a kind of simplified mpc 然后在前人工作的基础之上,从模糊辨识和预测控制算法两方面入手,根据电厂热工对象的一般特点,提出了一种模糊自适应预测控制算法。
Secondly a predictive control method based on rbf neural network was presented to deal with the random time-delay . furthermore, an avoidance algorithm based on the c space was designed to enhance the robot's intelligence 然后根据网络控制对机器人智能化的要求,对c空间无碰撞路径规划方法作了改进,提出了种基于c-t(configuration-time)空间对动态障碍的无碰路径搜索算法。
A robust model predictive control method is presented with an appropriately constructed robust contractive set as the terminal set of its optimization problem and with the cost function formulated from the gauge function of this set regarding state variable 以鲁棒可控收缩集作为预测控制在线优化问题的终端约束集,并用基于该集合的尺度函数构造成本函数,从而得到一种基于线性规划的鲁棒预测控制方法。
In order to guarantee the specified performance, model uncertainty must be taken into account properly . robust model predictive control is referred to the predictive control method which can make the performance index within the acceptable range in the presence of model uncertainty 在模型不确定性存在的情况下,依然能将实际系统的某种性能指标控制在可接受范围之内的预测控制方法,被称为鲁棒预测控制方法。
The predictive function control is one of new predictive control methods and the corresponding software packet ofapc-pfc is introduced . this method is proved to be much better than pid control with the advantages of fast-tracking, high precision, non-oversheet through three applications in the industry process . the multiple-variables predictive control strategy and the corresponding software packet of apc-hiecon are introduced 预测函数控制方法是近年来兴起的一种新型预测控制算法,本文详细介绍了预测函数控制工程化软件包apc-pfc,通过该技术在流程工业中的三个应用实例,说明这种控制方法具有跟踪快速,控制精确,无超调等优点,明显优于传统的pid控制方法;4
Based on the introduction of the principles of takagi-sugeno ( t-s ) fuzzy model and generalized predictive control ( gpc ) algorithm, the fuzzy predictive control method combining gpc and t-s model is classified as three kinds of algorithms . the design method of these algorithms is presented in detail . a comparison of these fgpc strategies in control performance and complexity of computation is given by simulation 在介绍了t-s模糊模型和gpc基本原理的基础上,将基于t-s模型的gpc归纳为三种算法,从理论上对这三种算法进行了详细地推导,并通过仿真研究比较了三种算法的控制性能和计算负担上的差异;从而为这一类模糊预测控制的实际应用提供了选择的依据,也为进一步的性能分析奠定了基础。
The uncertainty of the system can be regard as the disturbance and it can be approximated by wavelet neural network disturbance observer . then a robust adaptive h control method and a model predictive control method based on disturbance observer are proposed for a class of mimo nonlinear uncertain systems, at the same time these methods are used to design the robust adaptive flight control system . the designed robust flight control system can not only guarantee stability robust of flight, but also guarantee the flight control system have some robust performance indexes 为了克服这些缺点,将飞行控制系统的不确定性看作系统所受的干扰,应用小波神经网络干扰观测器进行逼近,并基于干扰观测器的输出提出了一类多输入多输出不确定非线性系统的鲁棒自适应h_控制方法并应用于鲁棒自适应h_飞行控制系统设计以提高飞行控制系统的性能鲁棒;为了进一步提高系统的性能鲁棒,针对一类多输入多输出不确定非线性系统基于小波神经网络干扰观测器设计一种模型预测控制律并应用于鲁棒自适应h_飞行控制系统设计。
2 . the cement rotary kiln is a complex process, which has nonlinear and time-varying characteristic and exist strong and frequent disturbance, so global model is hard to establish . based on analysis of the characteristics of the decomposing furnace in hangzhou cement rotary kiln plant, a new fuzzy predictive control method with multi-model structure is proposed 根据水泥生产线系统复杂、干扰频繁、全局模型建立困难的实际情况,通过对回转窑烧成工艺和分解炉过程特性的分析,提出一种基于t-s模型的多模结构的预测控制算法,并在dcs系统中开发了实时控制的软件。