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Introduction to Process Control
prototype system-stirred tank heater feedback control implementation of control justification of control
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Control Terminology Controlled variables - these are the variables which quantify the performance or quality of the final product, which are also called output variables. Manipulated variables - these input variables are adjusted dynamically to keep the controlled variables at their set-points. Disturbance variables - these are also called "load" variables and represent input variables that can cause the controlled variables to deviate from their respective set points.
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Control Terminology(2)
Set-point change - implementing a change in the operating conditions. The set-point signal is changed and the manipulated variable is adjusted appropriately to achieve the new operating conditions. Also called servomechanism (or "servo") control. Disturbance change - the process transient behavior when a disturbance enters, also called regulatory control or load change. A control system should be able to return each controlled variable back to its set-point.
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Feedback Control: Distinguishing feature: measure the controlled variable Advantages: Corrective action is taken regardless of the source of the disturbance. Reduces sensitivity of the controlled variable to disturbances and changes in the process (shown later). Disadvantages: No corrective action occurs until after the disturbance has upset the process, that is, until after x differs from xsp. Very oscillatory responses, or even instability…
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Manual Feedback Control
Process Controlled Quantity Manipulated Flow
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Feedforward Control: Distinguishing feature: measure a disturbance variable Advantage: Correct for disturbance before it upsets the process. Disadvantage: Must be able to measure the disturbance. No corrective action for unmeasured disturbances.
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Feedforward Control Is this manual or automatic control?
Process Controlled Variable Manipulated Flow Disturbance Is this manual or automatic control? What would automatic control look like?
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Group discussion : Example 1
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Group discussion : Example 2
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Elements in a Process Control Loop
Can be identified from a P&ID (piping & instrumentation diagram) Sensors Controllers Final control elements Signal lines Example - Heated Tank Thermocouple Fi Ti Q (Heater) F T TT TC Steam in
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Exercise Give the control objectives of the control loops Classify the control configuration of the control loops Classify the variables of all control loops
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Why is Process Control Necessary?
Safety - Protection for well-being of workers and plant Smooth Operation - Product specifications can be met despite disturbances Meet regulations - Environmental regulations and equipment constraints Economics - Profitability can be improved by: (a) Increased production levels (b) Reduced raw material costs (c) Enhanced product quality
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Limit Operating Variable A2 Average, A1 Time (b) (a) F r e q u n c y
Average of normal operation improved control Product quality constraint Product quality distribution curves showing justification for improved control
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Conceptual View of Control Hierarchy
Computer DDC, SPC, DCS, PLC Plant Optimization Unit Optimization Equipment Optimization Equipment Control Single Variable Control Level 3 - Optimization Level 2 - Monitoring - Feedback - Cascades - Feedforward - Multivariable - Constraint - Optimization Instrumentation Level 1 - Feedback - Cascade
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Figure 1.6 Major steps in control system development
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Illustrative Example: Blending system
Notation: w1, w2 and w are mass flow rates x1, x2 and x are mass fractions of component A
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Assumptions: w1 is constant x2 = constant = 1 (stream 2 is pure A) Perfect mixing in the tank Control Objective: Keep x at a desired value (or “set point”) xsp, despite variations in x1(t). Flow rate w2 can be adjusted for this purpose. Terminology: Controlled variable (or “output variable”): x Manipulated variable (or “input variable”): w2 Disturbance variable (or “load variable”): x1
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Design Question. What value of is required to have
Overall balance: Component A balance: (The overbars denote nominal steady-state design values.) At the design conditions, Substitute Eq. 1-2, and , then solve Eq. 1-2 for :
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Table. 1.1 Control Strategies for the Blending System
1.2 Classification of Control Strategies Table. 1.1 Control Strategies for the Blending System Method Measured Variable Manipulated Variable Category 1 x w2 FBa 2 x1 FF 3 x1 and x FF/FB 4 - Design change
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