Course Details
Developing reliable skills in Distributed Control Systems is essential for professionals working in complex industrial environments. This ABB 800xA DCS training is designed to help learners understand how the system works, how it is engineered, and how it is maintained across different operational scenarios. The course provides a clear path for building practical competence in automation, system configuration, fault handling, and process control using ABB’s Extended Automation System 800xA.
This program guides participants through the engineering and operational workflow of the ABB 800xA system. From initial setup to advanced logic development, the course ensures learners gain a grounded understanding of how DCS architecture supports reliable plant operations. The training incorporates engineering tools, controller configuration, and system navigation so participants can work confidently on real projects.
Learning Outcomes
By the end of this ABB 800xA DCS course, learners will be able to:
- Understand the architecture of ABB’s 800xA system and its role within industrial process control
- Configure AC 800M controllers and build projects using Control Builder M
- Implement and test basic and advanced control logics
- Develop open-loop, closed-loop, PID, and cascade control structures
- Configure graphics, trends, alarms, and workplace environments in Plant Explorer
- Apply commissioning steps, backup procedures, and system maintenance practices
- Interpret hardware–software communication within a DCS environment
- These outcomes help participants build the capability to support plant operations, troubleshoot issues, and contribute to engineering tasks in industrial automation settings.
System Infrastructure Covered
- Desk console layout and workstation roles
- Engineering Workstation with Control Builder M
- Operator Workstation and runtime environments
- Control cabinet components, including:
- PM856 controllers
- I/O modules (AI, AO, DI, DO)
- SB822 battery unit
- Power supplies and network devices
- Communication protocols, including Ethernet TCP/IP
Course Outline
The ABB 800xA DCS Training is structured as a progressive, hands-on learning program that mirrors real industrial automation workflows. Through carefully sequenced modules, participants move from system architecture and controller configuration to advanced control logic, visualization, commissioning, and maintenance—building the practical competence needed to engineer, operate, and support ABB 800xA systems in modern process environments.
DAY 1 – Foundations
- Introduction to Distributed Control Systems
- Overview of ABB and the 800xA system
- Hardware architecture and communication structure
- Software introduction: Control Builder M
DAY 2 – Engineering Basics
- Controller and module configuration
- Loading hardware profiles into software
- Developing basic programs (AI, AO, DI, DO)
- Designing open-loop and closed-loop logic
DAY 3 – Process Control
- Understanding PID concepts
- Implementing PID control strategies
- Cascade control logic and practical applications
DAY 4 – System Operation & Visualization
- Navigating Plant Explorer and Workplace
- Graphics creation: screens, animations, faceplates
- Different workplace structures and their functions
DAY 5 – Advanced Control Functions
- Splitter logic: purpose and implementation
- Device Control Blocks for motors and valves
- Interlock concepts and application techniques
Course Deliverables
- Structured learning material
- Certificate upon completion
Methodology
This course follows a practical-first methodology built around real-world system workflows. Concepts are introduced through short theory segments and reinforced through guided hands-on exercises. Each module progresses from basic configuration to advanced control design, allowing learners to build competence layer by layer. The training emphasizes understanding system behavior, engineering logic with clarity, and applying structured troubleshooting methods. This approach ensures participants gain skills that are directly applicable in operational environments.