A control system typically consists of four main components: a controller, a sensor, an actuator, and a process. The controller is the device that executes the control logic and sends commands to ...

Learn how control logic can enhance the performance, productivity, quality, and reliability of your automation system. Find out how to design, implement, monitor, and secure your control logic.

The design process is streamlined by a graphical tool that facilitates the creation of logic designs using the CLB. Targeted at the industrial and automotive markets, the series is suited for ...

As a result, Logic Matrix accelerates engineering and enables reduced testing times in acceptance procedures for automation tasks. In addition, Morgan added that Logic Matrix integrates seamlessly ...

Abstract: Industrial Control System (ICS) depends on the underlying Programmable Logical Controllers (PLCs) to run. As such, the security of the internal control logic of the PLCs is the top concern ...

The ICs allow easy system design and extend monitoring to improve equipment and personnel safety. The MAX15500/MAX15501, MAX5661, and MAX5134–MAX5139 serve as examples of ICs in process control.

The standard is intended to symbolize the binary control functions of a system in a manner that can be applied to any class of hardware, whether it be electronic, electrical, fluidic, pneumatic, ...

Fuzzy logic, which mathematically emulates human reasoning, provides an intuitive way to design function blocks for intelligent control systems, advanced fault detection and other complex applications ...

4. Time-of-Day Control. Many MMRs provide a real-time clock (RTC) option for time stamping faults. This information can also be used for time-of-day and day-of-week control.

Process operators that embrace this new approach to SIS can realize new efficiencies in their operations and transform how they manage process safety. Here’s how. Easing equipment configuration and ...

In this study, the design of embedded Sugeno fuzzy logic based controller for controlling non-linear liquid level process is realized. First, the system was activated on Matlab-Simulink platform and ...