Embedded fuzzy controller for water level control

This article presents the design of a fuzzy controller embedded in a microcontroller aimed at implementing a low-cost, modular process control system. The fuzzy system's construction is based on a classical proportional and derivative controller, where inputs of error and its derivate depend on the difference between the desired setpoint and the actual level; the goal is to control the water level of coupled tanks. The process is oriented to control based on the knowledge that facilitates the adjustment of the output variable without complex mathematical modeling. In different response tests of the fuzzy controller, a maximum over-impulse greater than 8% or a steady-state error greater than 2.1% was not evidenced when varying the setpoint.

Increasing the efficiency of electric submersible pumps by using big data processing and machine learning technologies

The current coverage of oil wells with telemetry does not allow timely determination of deviations in the operation of about 40% of electric submersible pumps. To solve this problem, a model of virtual sensors has been developed that allows the prediction of temperature and pressure growth at the pump intake in the absence of submersible sensors based on modern big data processing and machine learning technologies. The developed models of virtual sensors are embedded directly into the process control system, which allows notifying the technologists and operators about a possible reduction in the planned average pump operating time and their possible failures for various reasons.

Trends in the development of the direction of electroderatization

The article discusses the existing methods of deratization based on the electrophysical principle. The advantages and disadvantages of these methods are analyzed; therefore, theoretical options for improving these systems are proposed. A little-studied promising direction in electroderatization, treatment of premises with ozone, generated under the influence of an electric discharge, is highlighted. The prospect of this direction is indicated, in addition to the direct deratization properties, but also other positive factors that result from ozone treatment. It is proposed to use the hardware and software complex of the automated process control system when carrying out deratization measures. Keywords: CONTROL METHODS, PESTS IN AGROINDUSTRIAL COMPLEX, ELECTROPHYSICAL METHOD OF PROTECTION, ELECTRODERATIZATION, RODENTS, ULTRASONIC DETERRENT, BARRIER ELECTRODERATIZER, OZONATION, APCS

Safety in modular process plants: demonstration of safety concepts

The modularization of process plants addresses the need for flexible production options in the process industry. In order to maintain the advantages of the adaptability of modular plants, an adaptation of established engineering methods and procedures to their dynamic context of use is required. This paper describes the development and the features of a demonstrator, which makes it possible to investigate aspects of modular plant topology, the design of modular process units, and the functional safety of modules and plants. During the engineering of the modules, modular planning principles are applied and evaluated with respect to the requirements for functional safety and with a strong focus on the modification of safety systems through the exchange of PEAs and FEAs. For the design and modification of the safety systems, a safety life cycle, which meets the requirements of modular automation and takes the provisions of IEC 61508 and IEC 61511 into account, is applied. Practical insights into the construction and the implementation of the distributed Safety Instrumented System as well as the Basic Process Control System are described. In addition to the validation of safety concepts related to the interconnection of Safety Instrumented Functions, the demonstrator is used to study human working environments in modular plants.