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Process Dynamics and Control

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Live online Intermediate

Process Dynamics and Control

4(14)
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₹ 13500
24 hrs
Next month
English
Enggenious (SAN Techno Mentors)
Enggenious (SAN Techno Mentors)
  • 7-day money-back guarantee
  • Session recordings included
  • Certificate of completion
Volume pricing for groups of 5+

Why enroll

Module 1 -

Understand Process Dynamics and Control basics, Learn about the theoretical background behind various “advanced regulatory control” techniques – Feed forward, ratio and cascade, Learn the basic mathematical tools used for solving process dynamics and control problems

Module 2

Learn the basics of Model Predictive Control (MPC) algorithm, Gain familiarity with Fuzzy Logic, Obtain more information on Neural Networks and their use in APC

Is this course for you?

You should take this if

  • You work in Industrial Automation or Manufacturing & Industrial
  • You're a Chemical & Process / Electronics & Telecommunication professional
  • You have some foundational knowledge in the subject
  • You want to build skills in Communication system implementation, Control Systems

You should skip if

  • You're looking for an introductory overview course
  • You need a different specialisation outside Chemical & Process
  • You need fully self-paced, on-demand content

Course details

Advanced Process Control’s (APC) acceptance in the Chemical, Petrochemical and Oil & Gas industries in recent years is due to the industry’s ever growing need to cut operating costs for the competitive edge. At the same time, it is due to their need for safety and pollution prevention. Complex processing schemes and handling of very large volumes of hazardous material also force these industries to continuously look at newer techniques. Moreover, a majority of the process technologies in these industries are based on continuous process operation and are accordingly well suited for deployment of latest technologies such as the APC.

Apart from the underlying theoretical basis that came from the academia, APC relies heavily on advanced mathematical tools in software form. APC vendors have, to a large extent encapsulated the underlying theory and mathematics into their implementation of the APC algorithms. While this is beneficial from the point of view of project execution and application engineering, it is more than likely that it makes a particular APC technique a “black box” for the end user’s engineering and operations team.

This course is intended for such end user and vendor industry engineers who are keen to improve their skills in this field for profitable deployment of available control algorithms available within the programmable control systems. In order to achieve that objective they need to understand the theoretical background and the mathematics behind the APC tools and algorithms.

While the course presumes that the attendees possess Chemical Engineering background, experienced Instrumentation and Electronics engineers from these industries may also find the course useful. Two modules are planned – The first module covers the basic process dynamics and control theory and associated mathematics in some detail, the second covers some of the industry implemented APC technologies. The first module is a pre-requisite for the second module.

Course suitable for

Key topics covered

Module 1 Introduction to Process Control-basic concepts, terminologies, the control loop components, Dynamics of first and second order systems, Dynamics of more complex systems, The Control Loop/System Design problem

Module 2 Feedback control, Control loop stability and performance, Laplace transforms and their application, Modeling of chemical processes, Types of modeling techniques Empirical (black box) dynamic models from step response data, Degrees of freedom analysis

Module 3 Introduction to Control strategies beyond the basic PID Advanced regulatory control – Cascade, Ratio, Feed forward Time delay compensation & inferential control Selective control and override control systems Adaptive control systems Statistical Quality Control

Module 4 Digital Control Techniques Sampling and Filtering of continuous measurements Discrete-Time models Introduction to Z Transforms Influence of process design on process control Control System design considerations Singular value analysis Modeling Examples

Opportunities that await you!

Skills & tools you'll gain

Communication system implementationControl SystemsIndustry 4.0PLC & SCADA ProgrammingRoot Cause Analysis

Career opportunities

Training details

This is a live course that has a scheduled start date.

₹13500

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Questions and Answers