Industrial Control: Unmatched Precision

Xentara’s unique Real-Time core makes it the perfect platform for industrial control applications. It combines the flexibility and easy programmability of modern IT with the precision and exact timing of legacy Programmable Logic Controllers (PLCs) at a fraction of the cost.

Typical Industrial Control Uses


Utilize a software-based and object oriented solution (e.g. Modelica, 4diac) for controlling industrial processes, providing flexibility and adaptability in automation technology.

Motion Control and Robotics

Augment standard PLC with real-time motion control capabilities to synchronize and coordinate complex robotic movements and machine motions, ensuring smooth operation and precise positioning in manufacturing processes.

Distributed Control Systems (DCS) Integration

Extend conventional PLC with real-time communication protocols to integrate seamlessly into a DCS environment, facilitating coordination and synchronization of control tasks across distributed systems.

Advanced PID Control

Expand traditional PLC with real-time PID (Proportional-Integral-Derivative) control algorithms to regulate complex industrial processes with strict performance requirements, such as temperature, pressure, and flow control.

Safety-Critical Systems

Integrate real-time safety features into a conventional PLC to meet stringent safety requirements in industrial environments, ensuring rapid response and mitigation of safety hazards to protect personnel and equipment.

Complex Control Algorithms

Implement complex control algorithms such as model predictive control (MPC) or adaptive control in a PLC with real-time capabilities to optimize process performance and adapt to changing operating conditions dynamically.

Predictive Maintenance

Enhance PLC with real-time monitoring and predictive maintenance capabilities to detect anomalies and predict equipment failures in advance, enabling proactive maintenance activities to minimize downtime and maximize uptime.

AI OT Connnector

Integrate artificial intelligence and edge computing capabilities into traditional PLCs to enable advanced data analytics and machine learning algorithms for predictive maintenance and process optimization.

High-Speed Data Acquisition

Enhance traditional PLC with real-time data acquisition capabilities to monitor and control processes with high-speed sensor feedback, enabling precise control and rapid response to changes.

Time-Critical Applications

Extend conventional PLC with real-time task scheduling and execution capabilities to handle time-critical applications such as high-speed packaging, sorting, and material handling systems, ensuring precise timing and synchronization of operations.

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