A skill-based PID controller using artificial neural networks

Recently, there have been many papers on skill-based controllers in which human skills are represented by artificial neural networks in the literature. This technique for representing the human skills plays an important role in various industries, for example, in manufacturing systems and process systems. A skill-based PID control scheme is proposed, which represents the skills of human experts as PID gains. This controller is designed using three-layered artificial neural networks. The effectiveness of the proposed skill-based PID control scheme is investigated in an application to a pressure control system. The characteristics of the skill-based PID controller are analysed in the frequency domain.