UdemyControl Systems

MON300: Process Control Diagnostics & Industrial Statistics

التصنيف الكامل: Teaching & Academics > Engineering > Control Systems

MON300: Process Control Diagnostics & Industrial Statistics

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Chemical plants can have anywhere from about 50 PIDs in small plants to over 2000 PIDs in large refineries and integrated petrochemical complexes. In addition to simple PIDs, there are cascades, override controllers, model-based controllers, and multivariable controllers.As time goes by, even well-tuned PIDs and other controllers can slowly start to deteriorate. As deterioration progresses, process oscillations can start with small amplitudes and can grow large over time costing the plant significant monetary and/or quality losses. Or conversely, PIDs could become sluggish because of changes in process and operating conditions, once again causing the control quality to deteriorate.This course covers the technology and application of a control performance monitoring software (APROMON) that identifies poorly controlling PIDs (including single, cascade, override and complex PIDs). APROMON runs online using OPC and calculates several control criteria and generates control quality reports. Integrated with APROMON is a novel, breakthrough algorithm called TAD (True Amplitude Detection) that accurately isolates oscillating or sluggish controllers. This course shows how to improve and maintain the plant’s primary and advanced control system and increase the plant’s profits.This course explains how to identify control problems in an online/real-time manner and take immediate corrective action using online adaptive control. The course also shows how to implement true adaptive control inside the DCS by connecting the control quality monitoring software using OPC technology to the DCS/PLC and by designing special DCS/PLC-resident logic for triggering automatic control action.Learning Outcomes:At the end of the course, attendees will be skilled in understanding process control quality monitoring criteria and statistics. They will be skilled in the application, installation, and use of real-time software products for process control quality monitoring at any pla

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