This article outlines some of the practical problems and rules of thumb relating to final control elements, which can affect control in the real world.
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This article provides good insight into the dangers of using largely oversized valves, and into the importance of understanding practical control, and how your controllers work.
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Michael Brown is now offering training courses to individuals via online Zoom sessions. The first session of the Part 1 practical control course – Troubleshooting and Loop Tuning – will commence on Monday 1 February 2021.
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Two important dynamic factors occurring in the majority of process responses are deadtime, and the first order lag.
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It always amazes me that so few people really understand the workings of their feedback controllers. I have met only a few who really understand the practicalities of control blocks.
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More control problems in a copper extraction plant.
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This article will discuss the two classes of processes called self-regulating and integrating (or ramping) processes. This subject is absolutely vital to regulatory control, but strangely is seldom taught ...
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In my 30 years devoted to optimising controls in industrial process plants in many countries, I thought that I had seen all the possible process dynamics that one would encounter. Imagine my surprise ...
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I have written several articles about the unique problems I have encountered, specifically in the mining processing industry. This article is about some experiences in a mining operation where recently ...
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I am often astounded by finding really basic problems with controls in plants, which have operated that way for years. These problems are so basic that one can only wonder at how these controls could ...
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Answer to the question at the end of Case History 166 (www.instrumentation.co.za/8690r) In the last Case History article, I suggested you try and see what was not so good about a level control, which ...
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Control loop expert Michael Brown recently received a question from reader, Hansell Williams. The question relates to applying neural network and machine learning concepts to plant automation and control. ...
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