Supervisory control design based on hybrid systems and fuzzy events detection. Application to an oxichlorination reactor

A system of systems engineering approach for intelligent control and supervision of subsea production systems

“…A discrete event system, on the other hand, represents a supervisor (automaton), which reacts in presence of generated events from the continuous time process in order to fulfil system specifications. The dynamic systems whose behaviours depend on the interaction between continuous time processes and discrete supervisors are called hybrid systems [2].…”

“…This philosophy based on hybrid systems [2] can be utilized and adapted to enhance the capabilities of individual subsea production and processing systems to be promoted to SoS elements within the large subsea production system. The proposed supervision scheme, for individual subsea systems, based on philosophy presented in [1] is illustrated in figure 1.…”

“…Process condition monitoring and process control performance monitoring can be also incorporated to the continuous level supported by process models and appropriate algorithms [2,4,[37][38][39][40][41]. Data pre-processing and residual analysis to support fault detection and diagnosis is proposed to be performed within the condition monitoring modules.…”

“…Competitive advantage can be gained by reducing raw material and energy consumption and energy consumption costs, maximizing plant throughput and by meeting rigorous environmental regulations [2][3][4][5]. One of the important challenges facing control system engineers is how to design and implement intelligent systems that may assist supervision and decision making such as abnormal situation management (ASM), start up and shut down, controller performance assessment [2,6]. The growing interest of system of systems (SoS) as new generation of complex systems has opened many challenges for systems engineers.…”

“…These paradigms have potential for developing reasoning strategies for applications such as fault detection, diagnosis, supervision and decision making among others [2][3][8][9][10][11]. They have been successfully applied in oil industry related businesses such as Refinery and Petrochemical where the processes and control systems involved have a very high complexity [2].…”