Selecting a control system
As capabilities of different platforms overlap in more areas, selection options grow but become more complicated.
As process control engineers, we are constantly faced with having to choose a type of control system that is a best fit for the application. If you’re an end user, you probably will not need to make this kind of selection as often as we do, so you might not keep up-to-date with the latest technologies. There are many types and manufacturers out there to choose from, and careful consideration must be taken when deciding what type of system to implement into an automatic control application, especially since these systems will often remain in place for many years. A bad decision could haunt you for a long time.
There has been much discussion through the years on this topic; in the beginning, there were many definable differences between programmable logic controllers (PLCs) and distributed control systems (DCSs), but that gap has narrowed through the years. In the early years, a DCS was primarily used for analog control and a PLC handled the discrete control. However the new systems are much more compatible and interlaced than most engineers are aware of. For example, some PLC manufacturers provide DCS controllers that fit in their PLC rack and replace the PLC processor. These similarities and interrelations need to be considered and explored before making a final decision on the implementation of a control system.
Today, there is a great deal of control information available. Engineers need to do their research, be knowledgeable of each type of control system, and have a good understanding of how and when to use each type of control system. Design-critical decisions should not be based on personal opinions formed on an overabundance of sales pitches and recommendations by so called “experts” in the field. Rather, these decisions should be based on solid knowledge of the process, the control methods available, and the control methods most suitable for their applications.
Some factors that should be considered in these decisions are initial cost, expandability, spare part availability, ease of implementation, longevity, application, location, environments, I/O types and counts, specialty modules, programming options, vendor support, performance guarantee, etc. The better informed one is, the better the chance of implementing the best type of control system for your application. Never forget that control system selection can be a “once in a generation” decision for many facilities. Depending on how you implement the project, the engineer making these decisions may not be at the facility or associated with the project once the equipment is up and running. In any case, the operators running the equipment and the overall performance of the equipment or process will either benefit or suffer based on the original design and the decisions made by the engineers for many years to come.
This post was written by Art Howell. Art is a senior engineer at MAVERICK Technologies, a leading system integrator providing industrial automation, operational support and control systems engineering services in the manufacturing and process industries. MAVERICK delivers expertise and consulting in a wide variety of areas including industrial automation controls, distributed control systems, manufacturing execution systems, operational strategy, and business process optimization. The company provides a full range of automation and controls services – ranging from PID controller tuning and HMI programming to serving as a main automation contractor. Additionally MAVERICK offers industrial and technical staffing services, placing on-site automation, instrumentation and controls engineers.
Also read: Buy or build your process control system
Case Study Database
Get more exposure for your case study by uploading it to the Consulting-Specifying Engineer case study database, where end-users can identify relevant solutions and explore what the experts are doing to effectively implement a variety of technology and productivity related projects.
These case studies provide examples of how knowledgeable solution providers have used technology, processes and people to create effective and successful implementations in real-world situations. Case studies can be completed by filling out a simple online form where you can outline the project title, abstract, and full story in 1500 words or less; upload photos, videos and a logo.
Click here to visit the Case Study Database and upload your case study.