Chemical Engineering Tutorials: Introduction to Process Control

Monday, 8 July 2024

Introduction to Process Control

Process control can be defined the maintenance of a process output e.g., concentration, temperature or flow rate, within the desired specifications by continually adjusting other variables in that process. 

Some examples of controlled processes include:

  • Controlling the temperature of a stream of water by controlling the amount of steam added into the shell of a heat exchanger.
  • Isothermally operating a jacketed reactor by controlling the mixture of cold water and steam that flows through the jacket of the reactor.
  • Maintenance of a set ratio of reactants to be added to a reactor by controlling their flow rates.
  • Controlling the height of fluid in a tank to make sure it does not overflow.

Control System Objectives

  • Safety
  • Economic Incentives
  • Increasing efficiency
  • Ensuring process stability
  • Elimination of routine
  • Protection of equipment
  • Reduction of variability

Important definitions in Process Control

System: This is a combination of components that collectively act and perform a certain objective.

Plant: This is the machine of which a particular quantity or condition is to be controlled.

Process: This is the changing or refining of raw materials that pass through or remain in a liquid, gaseous, or slurry state to create end products.

Control: in process industries, this refers to the regulation of all aspects of the process. Precise control of temperature, pressure, pH, level, oxygen, foam, nutrient, and flow is important in numerous process applications.

Sensor: This is a measuring instrument that detect the vale of the measurable variable as a function of time. The most common measurements are of flow (F), temperature (T), pressure (P), level (L), pH and composition (A, for analyzer).

Set point: This is the value at which the controlled parameter is to be maintained.

Controller: This is a device that receives a measurement of the process variable, compares it with a set point representing the desired control point, and adjusts its output to minimize the error between the measurement and the set point.

Error Signal: The signal resulting from the difference between the set point reference signal and the process variable feedback signal in a controller.

Feedback Control: A type of control where the controller receives a feedback signal representing the condition of the controlled process variable, then compares it to the set point and adjusts the controller output accordingly.

Steady-State: This is the condition when all of the process properties are constant with time, transient responses having died out.

Transmitter: This is a device that converts a process measurement (pressure, flow, level, temperature, etc.) into an electrical or pneumatic signal that is suitable for use by an indicating or control system.

Controlled variable: This is the process output that is to be maintained at a desired value by adjustment of a process input.

Manipulated variable: This is the process input that is to be adjusted to maintain the controlled output at set point.

Disturbance: This is a process input (other than the manipulated parameter) which affects the controlled parameter.

Process Time Constant (τ): This is an amount of time counted from the moment the variable starts to respond that it takes the process variable to reach 63.2% of its total change.

Block diagram: This is the relationship between the input and the output of the system. This is commonly illustrated as a figure. Examples are shown in the diagram below:

Transfer Function: This is the ratio of the Laplace transform of the output (response function) to the Laplace transform of the input (driving force) under the assumption that all the initial conditions are zero unless given another value.

Closed-loop control system: is a mechanical or electronic device that automatically regulates a system to maintain a desired state or set point without any human interaction. It uses a feedback system or sensor.


Advantage: more accurate than the open-loop control system.

Disadvantages: 

(1) Complex and expensive

(2) The stability is the major problem in closed-loop control system 

Open-loop control system: In this system there is no feedback to the controller about the current state of the system. There is no self-regulating mechanism and human interaction is typically required.

Advantages:

(1) Simple construction and ease of maintenance.

(2) Less expensive than closed-loop control system.

(3) There is no stability problem.

Disadvantages:

(1) Disturbance and change in calibration cause errors; and output may be different from what is  desired.

(2) To maintain the required quality in the output, recalibration is necessary from time to time

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