Guide lines for the tuning and the evaluation of decentralized and decoupling controllers for processes with recirculation

This paper gives guidelines for the pairing, the time response specification, and the tuning for processes with recirculation when decentralized controllers are used. This selection is based on the condition number, which is an indicator of the process directionality, and on the generalized dynamic relative gain (GDRG), which is a measure of the interaction. Simple tuning rules are developed and results are compared to algebraic controllers with decouplers. Performances are evaluated for set-point changes as well as disturbance rejection using the generalized step response (GSR). The GSR gives a 3D graphic of the system response as a function of the input direction.     

Decentralized identification for multivariable integrating processes with time delays from closed-loop step tests

In order to identify those multivariable processes with integrating factors in their transfer function matrices, a simple yet robust decentralized identification method from closed-loop step tests is proposed. By the frequency response matrix computed from the closed-loop system data and the knowledge of the decentralized controller, the structural information of the multivariable integrating process is determined firstly and then the continuous parametric model with dead times is approximated similarly with the parameterization of the open-loop stable process. Computer simulations and an application to a 3 x 3 integrating multiple-tank water level system verify the validation of the proposed method even if the closed-loop system is affected by some stochastic noise sources.     

基于支持向量机的集装箱起重机建模与辨识

对岸桥集装箱起重机的相关研究中,高度非线性的系统建模是一个难点,传统辨识方法难以较好的描述其系统特性。支持向量机方法具有较强的非线性回归能力,精确建立系统的模型,经过仿真可以看到支持向量机对起重机模型较好的辨识作用,基于此模型的P ID控制也收到了较好的控制效果。