Nowadays, different kinds of Industrial Control Systems (ICS) are used in heavy industries like oil and gas industry to monitor and control production and operation processes. In a same industrial plant, major engineering and design efforts are made during each system implementation, to comply with process requirements and features. Moreover, other efforts are made regarding to operation and maintenance issues due to diverse hardware and software architectures of such systems. This paper aim is to make a comparative study between most used control systems by highlighting their strengths and features, each according to its preferred domain of process control. Then to discuss how to develop a unified system that will have core features to monitor and control different kinds of processes. This approach is applied for the design of an oilfield telemetry project. The purpose is to propose technically optimized and cost-effective hardware and software solution.

This paper aims to focus on database configuration of process control systems during project engineering phase and the impact of initial configuration on their performances and lifetime. We will start by highlighting operation principle of such systems, taking as example DCS systems (Distributed Control Systems) where we discussed their hardware and software architecture evolution and then identify the most common problems encountered on these systems. Through a case study, we will focus on the optimization of database configuration and see how could bad configuration practices reduce the control system performances and then may affect industrial process operation. The case study discussed is about a DCS system installed to control oilfield processing facilities where hardware and software description on this control system is given. We will emphasize on system deficiencies which the most important of them is the problem of database memory saturation which causes significant system performances and lifetime decreases.

In this paper, we present the control position of an Induction Machine (IM), in order to use as solar tracker. We proposed a control scheme based on a fuzzy nonlinear feedback of the output to obtain stability in Lyapounov sense. The passivity based control (PBC) principle is applied her to regulate the motor position at desired value with variable references. Significant results with a robustness and stability of the proposed structure are showed in simulation.