Genetic-Algorithm-Based Performance Optimization for Non-Linear MIMO System

Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms Pub Date : 1900-01-01 DOI:10.4018/978-1-5225-3129-6.CH003

Anitha Mary Xavier

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引用次数: 2

Abstract

Environmental regulations demand efficient and eco-friendly ways of power generation. Coal continues to play a vital role in power generation because of its availability in abundance. Power generation using coal leads to local pollution problems. Hence this conflicting situation demands a new technology - Integrated Gasification Combined Cycle (IGCC). Gasifier is one of the subsystems in IGCC. It is a multivariable system with four inputs and four outputs with higher degree of cross coupling between the input and output variables. ALSTOM – a multinational and Original Equipment Manufacturer (OEM) - developed a detailed nonlinear mathematical model, validated made this model available to the academic community and demanded different control strategies which will satisfy certain stringent performance criteria during specified disturbances. These demands of ALSTOM are well known as “ALSTOM Benchmark Challenges”. The chapter is addressed to solve Alstom Benchmark Challenges using Proportional-Integral-Derivative-Filter (PIDF) controllers optimised by Genetic Algorithm.

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基于遗传算法的非线性MIMO系统性能优化

环境法规要求高效、环保的发电方式。由于煤炭储量丰富，它继续在发电中发挥着至关重要的作用。燃煤发电导致了当地的污染问题。因此，这种矛盾的局面需要一种新的技术-综合气化联合循环(IGCC)。气化炉是IGCC的子系统之一。它是一个四输入四输出的多变量系统，输入输出变量之间的交叉耦合程度较高。跨国原始设备制造商(OEM)阿尔斯通(ALSTOM)开发了一个详细的非线性数学模型，并对该模型进行了验证，使其可用于学术界，并要求在特定干扰下满足某些严格性能标准的不同控制策略。阿尔斯通的这些要求被称为“阿尔斯通基准挑战”。本章旨在解决阿尔斯通基准挑战使用比例-积分-导数-滤波器(PIDF)控制器优化的遗传算法。

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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Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms

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