Diseño y construcción de un controlador pid auto - sintonizable mediante inteligencia de enjambre para determinar el comportamiento colectivo de los sistemas pertenecientes a procesos estudiados en el CERFIN-SECAP

Abstract

One of the everyday problems in industrial process control is tuning PID controllers, so that in many cases, the empirical knowledge of the most experienced operators or classical methods as Ziegler Nichols one, which is used widely for its simplicity and popularity. However, in spite of the used values in the processes are useful, they are not the best, so we need new methods in order to optimize these values, so that, no energy is wasted on plants and it is possible to increase the life of the equipment. This paper presents a Tunable Auto PID Controller with a standard topology, which has a pre tuning method based on relay with an optimal adjustment of their profits using an algorithm based on swarm intelligence. This method is the Optimization by Particle Swarm – PSO, which was proposed by Kennedy and Eberhart in 1995, and inspired by the schools of fish and flocks of birds. The performance of the controller designed is compared with other two controllers tuned by the methods of Ziegler - Nichols and Genetic Algorithms – AG, by using the integral of absolute error – IAE of the response of the systems belonging to the processes studied in the CERFIN - SECAP.