INTELLIGENT SYSTEM FOR ADAPTIVE CONTROL OF TECHNOLOGICAL PROCESSES IN AMMONIA

Abstract

Ammonia is one of the most generally delivered synthetic compounds overall because of its various applications as manure, refrigerant, and modern unrefined substance. The Haber-Bosch process is the predominant modern cycle for smelling salts union, which includes the synergist response of nitrogen and hydrogen gases at high strain and temperature. Exact control of interaction boundaries like temperature, tension, and feedstock creation is critical to amplify smelling salts yield while limiting energy utilization and keeping up with item quality and security principles. Traditional control procedures experience issues taking care of such cycle intricacies and elements. This paper proposes an astute framework in light of versatile control and AI strategies for improving alkali creation through continuous versatile cycle control.