Preface, Objective of the Application | Siemens PCS 7 instruction

Preface

1 Preface

Objective of the Application

The area of application of the model predictive controller provided in SIMATIC PCS 7 (function block ModPreCon and MPC respectively) is restricted by the following fact: The control algorithm only works for stable processes with a step response settling to a constant value in a finite time horizon.

If the process is not stable or shows an integral action (e.g. level control, position control), the respective sub transfer functions have to be stabilized by slave con- trollers. The objective of this application note is to describe how to proceed in such cases.

This application note is an extension of the application note “Multivariable Model Predictive Control – the Distillation Column as an Application Example”, containing basic information how to apply the MPC.

The application example considered here shows an MPC with two manipulated and two controlled variables in combination with a simulated process of which the sec- ond main control loop shows integral action.

Main Contents of this Application Note

The following issues are discussed in this application:

•The stabilization of unstable processes using P(ID) controllers

•The integration of a subordinated PID controller in an MPC application

•Simulation-example

Validity

… valid for PCS 7 V7.0 SP1 or later versions.

6	MPC Level
	V 1.0, Beitrags-ID: 42200753

PCS 7 specifications

Siemens PCS 7 is a powerful and comprehensive process control system designed for various industrial automation applications. It is part of the Siemens Totally Integrated Automation (TIA) portfolio, providing seamless integration with various Siemens products and services. The system is known for its flexibility, scalability, and reliability, making it suitable for industries such as energy, water treatment, chemicals, pharmaceuticals, and manufacturing.

One of the main features of Siemens PCS 7 is its modular architecture, which allows users to customize and scale their control solutions according to their specific needs. The system supports a diverse range of hardware and software components, from powerful servers and workstations to field devices and controllers. This modularity ensures that the system can adapt to different operational requirements while remaining cost-effective.

Another key feature is the advanced visualization capabilities offered by PCS 7. Users can create intuitive graphical interfaces that improve process monitoring and control. The system's Process Control and Monitoring (PCM) application enables real-time visualization of processes, enhancing decision-making and responsiveness.

Siemens PCS 7 is built on open and industry-standard communication protocols, such as Profibus and Profinet. This ensures interoperability with a wide array of third-party devices and systems, allowing seamless integration into existing infrastructures. The system supports a variety of communication interfaces, enhancing data exchange and connectivity within the control architecture.

The PCS 7 system also incorporates sophisticated process automation technologies, including batch control, continuous process control, and advanced process control algorithms. These capabilities not only facilitate efficient operation but also optimize production processes through improved resource management and reduced waste.

Security is a critical aspect of Siemens PCS 7, addressing the growing concerns of cybersecurity in industrial environments. The system incorporates robust security measures, including user authentication, data encryption, and regular software updates, ensuring that industrial operations remain protected against potential threats.

In summary, Siemens PCS 7 exemplifies modern industrial automation technology with its modularity, advanced visualization, open communication, sophisticated process control capabilities, and strong security features. Whether adapting to new technologies or optimizing existing operations, PCS 7 stands as a versatile and resilient platform for today's diverse industrial automation challenges.