Sliding mode control for gasifier reactor temperature control

V.O. Ajah, E.T. Eke, K.E. Okoye, E.C. Ejiogu
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Abstract

This paper presents a sliding mode control (SMC) design for gasifier reactor temperature control. Temperature control is a critical aspect  of biomass gasification for quality syngas production. However, accurate modeling and effective control method are the major challenges  of gasifier reactor temperature control. The gasification system processes are not yet well understood to model from the first  principle due to the complex and nonlinear nature of the process. Also, conventional control methods such as proportional, integral, and  derivative control have not been effective in controlling gasification systems. Hence, this work has used experimental data from a 500 kVA  updraft gasifier reactor to develop a data-driven mathematical model. The system identification result predicts 86.36% goodness of  fit on the model data and 88.26% on the validation data. Discrete time sliding mode control has been designed from the model and  implemented in Simulink to investigate the performance of the control method on the gasifier. The result of the system time response  shows that the controller effectively drives the temperature monotonically from 25°C to 700 °C in finite time (11.37 minutes). It also establishes a quasi-sliding motion with an ultimate band of ±1℃ for the remainder of the simulation time. Hence, the control technique  guarantees optimal temperature control for any feedstock type which will result in higher conversion efficiency, more syngas yield, and  improve syngas quality and durability of the gasifier reactor among others. 
气化炉反应器温度控制的滑动模式控制
本文介绍了一种用于气化炉反应器温度控制的滑动模式控制(SMC)设计。温度控制是生物质气化生产优质合成气的关键环节。然而,精确建模和有效控制方法是气化炉反应器温度控制的主要挑战。由于气化过程的复杂性和非线性,人们还不能很好地理解气化系统过程的第一原理模型。此外,比例控制、积分控制和导数控制等传统控制方法也无法有效控制气化系统。因此,本研究利用 500 千伏安上升气流气化炉反应器的实验数据,建立了一个数据驱动的数学模型。系统识别结果预测模型数据的拟合度为 86.36%,验证数据的拟合度为 88.26%。根据模型设计了离散时间滑动模式控制,并在 Simulink 中实施,以研究气化炉控制方法的性能。系统时间响应结果表明,控制器在有限的时间内(11.37 分钟)有效地将温度从 25°C 单调升至 700°C。在剩余的模拟时间内,它还建立了一个极限范围为 ±1℃ 的准滑动运动。因此,该控制技术可确保对任何原料类型进行最佳温度控制,从而提高转化效率,增加合成气产量,改善合成气质量和气化炉反应器的耐用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.10
自引率
0.00%
发文量
126
审稿时长
11 weeks
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