Identification and control of a generic-type plant using genetic algorithms

A. Lázaro, I. Serrano, E. G. Cueto
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Abstract

This work deals with the automatic control of a system without the intervention of an operator. It consists of the identification of the equations that define the behaviour of the plant by means of a genetic algorithm, and the calculation of a regulator using the identification results. Genetic algorithms are useful for system identification because of their power in searching for an optimal solution among a large number of possibilities due to their evolutive characteristics. A modification of the algorithm is carried out for its real time operation.
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用遗传算法鉴定和控制一种属型植物
这项工作涉及在没有操作员干预的情况下对系统进行自动控制。它包括通过遗传算法识别定义植物行为的方程,以及使用识别结果计算调节器。遗传算法由于其进化特性而具有在大量可能性中寻找最优解的能力,因此对系统辨识非常有用。对该算法进行了改进,使其具有实时性。
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