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CI-SP Process Control, Loop Tuning and Advanced Control Strategies

  • Duration:
  • Investment: US$ 299
Certificate:

Must complete all lessons

Description

Process engineering is a branch of engineering science that deals with planning, operation and control of physical, chemical and biological process that processes undergone in industries. Process Engineering is common to all industries. This engineering group has the responsibility to control and optimize the process in any concern.
Process engineers apply their technical skills for satisfying the need of the customer, by designing the best process practices that convert the raw materials into the desired products. They are also involved in research. They create block diagrams, P&IDs, PFD, which are the benchmark for the other engineers to design the overall activities that any industries must have.
The main aim of this course is to make the student understand the technical concepts. This will enhance their skills with practical experience. This course will help the students to acquire knowledge on process control engineering concepts with lots of practical and computer aided problems for the better understanding.
 

WHO SHOULD COMPLETE THIS COURSE

  • Instrumentation  engineers
  • Plant engineers
  • Process control engineer
  • Electrical Engineers
  • System design engineers
  • Consulting Engineers
  • Engineering managers
  • Maintenance Engineers/technicians
  • Project Engineer

 

COURSE OUTLINE

INTRODUCTION TO PROCESS CONTROL

  • Important parameters
  • Good control possibilities
  • Components of a process control loop
  • Process control components

 

PROCESS DYNAMIC COMPONENTS

  • Process modeling
  • Typical block diagrams
  • Elementary block diagram
  • Practical examples – simple tank level problem

 

TIME RESPONSE

  • Types of control
  • Time response
  • First order process
  • Second order process responses and systems

 

TRANSFER FUNCTION

  • First order
  • Lags in series
  • Feed forward control loop
  • Feedback control loop
  • Closed loop PD
  • PID controller
  • Practical Problems

 

BASIC PRINCIPLES OF CONTROL SYSTEMS

  • Basic functions & definitions
  • On/off control
  • Modulation control

 

OPEN CONTROL SYSTEM

  • Open loop control
  • Feed forward control
  • Practical examples

 

CLOSED CONTROL SYSTEM

  • Closed loop control
  • Manual feedback and feed forward controls
  • Block diagram
  • Sample and Hold Algorithms
  • Process response
  • Practical examples

 

STABILITY OF CLOSED LOOPS

  • Principles of closed loop control
  • Feed Heater control
  • Stability criteria
  • Critical frequency
  • Assess process behavior
  • Process disturbances & stability

 

PID CONTROL

  • Proportional control
  • Proportional band and ranges
  • Phase shift and integral Relationships
  • Derivative control
  • PID application
  • Cascade control
  • Practical problems

 

TRANSDUCERS AND SENSORS

  • Definition
  • Sensor dynamics
  • Selection criteria
  • Advantages and limitations

 

MEASUREMENTS AND SENSORS

  • Temperature measurement
  • Pressure measurement
  • Flow measurement

 

VALVE TYPES

  • Ball valve
  • Globe valve
  • Angled valves
  • Y-styled valve
  • Three way valves
  • Rotary plug valves
  • Diaphragm valves
  • Pinch valves
  • Sliding Gate valve

 

VALVE PERFORMANCE

  • Valve sizing
  • Flow coefficient conversion factors
  • Control valve sizing formulae
  • Selection flow chart
  • Computer simulation using PC-Control LAB

 

IDEAL PID VS REAL PID

  • Ideal/Non-interactive PID
  • Interactive PID
  • Controller blocks
  • Algorithms
  • Derivative and Noise filtering
  • Filter recommendations.

 

TUNING OF PID CONTROLLERS USING CLOSED AND OPEN LOOP SYSTEMS

  • Feedback controller
  • Objective of tuning
  • Steps of Open loop tuning
  • Ziegler Nichols open loop tuning method
  • Reaction curves calculations

 

TUNING OF PID CONTROLLERS USING CLOSED AND OPEN LOOP SYSTEMS-II

  • Objective of tuning
  • Continuous cycling method
  • Damped cycling method
  • LTC method

 

CASCADE CONTROL

  • Controller output
  • Dual output controller
  • Output and block control
  • Principles of Cascade control
  • Single loop temperature control
  • Master/slave controllers
  • Two controller basic cascade control
  • PV tracking

 

CONTROL EQUATION

  • Types
  • Application
  • Error calculation
  • Tuning of cascade loops
  • Cascade with multiple secondaries

 

FEED FORWARD CONTROL – MATERIALS

  • Objectives
  • Manual control
  • Automatic control
  • Block diagram
  • Feed forward Modeling
  • Feed Heater

 

COMBINED FEEDBACK AND FEED FORWARD CONTROL

  • Objectives
  • Feedback concept
  • Feed forward concept
  • Feedback-feed forward summer
  • Initialization
  • Tuning Approach
  • Practical Problems

 

SELF-TUNING CONTROL

  • Objectives
  • self-tuning controllers
  • main components
  • Gain scheduling controller
  • Controller
  • measurement parameters

 

STATISTICAL PROCESS CONTROL

  • Introduction
  • stable process data
  • control limits
  • control charts

 

ADVANCED CONTROL

  • Objectives
  • techniques classifications
  • comparison with classical control
  • Advantages
  • Justifications
  • Internal Model control structure
  • block diagram
  • simulation and testing single loop IMC

 

MODEL PREDICTIVE CONTROL

  • Introduction
  • SISO vs. Multivariable
  • Examples
  • MPC concept
  • block diagram
  • functionality

 

FUZZY LOGIC

  • Objectives
  • Fuzzy logic
  • Rules
  • fuzzy patch
  • Application of Fuzzy Logic

 

NEURAL NETWORKS

  • Concept
  • network connections
  • neural net –storage
  • neural back –propagation networking
  • training a neuron network

 

Investment

Plan Name Investment
Unlimited Access for 2 Years: US$ 299

Instructor

Hashemi Ford

Hashemi Ford   BE (Honrs)(Elec)  ME(Elec)   Principal Engineer

Hashemi has over 20 years international experience in electrical power industry with a focus on modelling, analysis, planning and operation of power systems including distribution, sub-transmission and transmission networks. He has been involved in modelling and analysis of major projects including HVDC interconnectors and wind farms. Currently Hashemi is working as a Principal Engineer for a power utility in Australia as well as teaching as a part time lecturer for EIT.

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