The top articles in Control Engineering this month covered topics like implementing AI, multi-axis servo drives and time-sensitive networking.
The top articles in Control Engineering this month covered topics like implementing AI, multi-axis servo drives and time-sensitive networking. Keep reading to see what other engineers are interested in and learning recently.
1. How to incorporate AI into process manufacturing
Not all artificial intelligence (AI) is built for industrial success. Process manufacturers need AI solutions grounded in first principles — ensuring accuracy, safety and efficiency — while reducing complexity in model design and development.
2. Advantages of multi-axis servo drives in the world of automation
Selecting among technology options in a motion-control application often comes with levels of complexity, especially when dealing with multiple axes. Explore five automation advantages of multi-axis servo drives.
3. Why time-sensitive networking (TSN) is the backbone of next-gen digital manufacturing
How deterministic Ethernet with TSN empowers HMI/SCADA integration, unifies IT and OT networks, and drives real-time performance in smart manufacturing environments.
4. PID spotlight, part 19: PID controller tuning best practices
You’ve been trained to tune PID controllers on self-limiting and integrating processes, but are you ready to tune? Can we trust you to do it safely? Do you know how to work with the operators responsible for the process? Do you know that there are problems that tuning cannot fix? Finally, do you know that after you are done tuning you are not done?
5. PID spotlight, part 18: How to spot sticking control valves
Sticking control valves hurt control and cannot be fixed by tuning. How do we spot a bad control valve? What can be done about a bad control valve?
6. Roundtable: Emerging technologies, industrial networks, Industry 4.0
Six industry experts address interoperability, cybersecurity and latency concerns, including the emerging industrial network technologies that may solve some problems for automation, control system applications. Get industrial networking answers from this Control Engineering expert roundtable.
7. Smart control systems: Make your AI/ML integration roadmap
Smart water utility control systems and digital transformation: Learn how to apply artificial intelligence and machine learning in the water sector to create the ultimate AI/ML integration roadmap. See eight steps to integrating digital technologies and control systems.
8. How to prevent industrial drive corrosion: 5 strategies
Eroding standards: The overlooked risks of corrosion in variable-speed drives. Key techniques can avoid costly failures.
9. More of your advice, links to smarter automation, controls
Control Engineering research provides another opportunity for subscribers to share advice and think again about automation controls and instrumentation. Learn more about automation planning, interoperability, real-time controls and energy efficiency by design … and thank you.
10. Why is AI popular but difficult to implement in industry?
Professional industry knowledge and experience must be transferred into algorithmic constraints to ensure that artificial intelligence models align with real-world requirements. This is the greatest “hidden barrier” for non-industrial background companies applying industrial AI.
