مدل شبیه سازی مستمر مخزن بخاری با برنامه های کاربردی

This article presents a first principles simulation of a continuous stirred tank heater pilot plant at the University of Alberta. The model has heat and volumetric balances, and a very realistic feature is that instrument, actuator and process non-linearities have been carefully measured, for instance to take account of the volume occupied by heating coils in the tank. Experimental data from step testing and recordings of real disturbances are presented. The model in Simulink and the experimental data are available electronically, and some suggestions are given for their application in education, system identification, fault detection and diagnosis.

Process simulations in the public domain have been used in education and academic research for many years to compare the performance and applicability of methods for control, identification and diagnosis. Broadly speaking, the simulations fall into two categories: (i) models in which the dynamics are captured through first principles, and (ii) linear models presented as transfer functions or in state-space form. Also available are detailed models for individual components of a process such as control valves and rotating machinery. Commercial training simulators are a further important category of process simulation. The following sections review the literature and place the CSTH simulation in the context of other work. 2.2. First principles models A very widely used model is the classic continuous stirred tank reactor simulation with Van de Vusse reaction kinetics [39]. It appears in text books [26] and [10] and has been used for demonstration of control schemes and fault diagnosis. The reaction equations are non-linear because they include the bilinear products of flow rates, composition and temperature as well as the temperature dependence of reaction rate [26]. Other authors have made realistic additions such as the dynamics of a reactor with a cooling jacket [31] and [32].

A simulation of a continuous stirred tank heater at the University of Alberta has been presented, and a Simulink implementation used to generate results in open and closed loop. Instrument, actuator and process non-linearities have been characterized and the simulation has a hybrid nature because real process and measurement noise sequences are used as disturbances. Linearized state-space and transfer function models are also provided for the purposes of linear multivariable controller design and other activities where linear approximations are utilized. The Simulink model and experimental data are available electronically, and a some suggestions are given for applications including a system identification task.