PID Controller

Process Description

Three-term feedback controller providing proportional, integral, and derivative control action for single-input single-output process regulation. Standard industrial controller for temperature, flow, pressure, and level control applications.

Key Equations

Control Algorithm:

\[u(t) = K_p \cdot e(t) + K_i \int_0^t e(\tau) d\tau + K_d \frac{de(t)}{dt}\]

Transfer Function:

\[C(s) = K_p + \frac{K_i}{s} + K_d s\]

Where: - \(e(t) = SP - PV\) (control error) - \(K_p\) = proportional gain [output_units/input_units] - \(K_i\) = integral gain [output_units/(input_units·s)] - \(K_d\) = derivative gain [output_units·s/input_units]

Process Parameters

Parameter

Typical Range

Units

Description

Kp

0.1 - 10

process dependent

Proportional gain

Ki

0.01 - 5

1/s

Integral gain

Kd

0 - 60

s

Derivative gain

Output limits

0 - 100

%

Actuator constraints

Sample time

0.1 - 10

s

Control execution frequency

Industrial Example

Results

CSTR Temperature Control System
========================================
Reactor Volume: 10.0 m³
Target Temperature: 85.0°C
Process Gain: 0.8 °C/%
Time Constant: 8.0 minutes
Dead Time: 1.5 minutes

PID Parameters:
  Kp = 2.5
  Ki = 0.1 1/s
  Kd = 10.0 s

Simulation Results
------------------------------
Time(min)  Temp(°C)  Valve(%)  Error(°C)
     0.0      25.0       0.0      60.0
     1.0      35.0       0.0      50.0
     2.0      48.0       0.0      37.0
     3.0      62.0       0.0      23.0
     4.0      71.0       0.0      14.0
     5.0      78.0       0.0       7.0
     6.0      82.0       0.0       3.0
     7.0      84.0       0.0       1.0
     8.0      85.0       0.0       0.0
     9.0      85.0       0.2       0.0
    10.0      85.0       0.0       0.0

Performance Analysis
--------------------
Final Error: 0.0°C
Valve Range: 0.0 - 0.2%
Control Effort: 0.2% valve travel

Industrial Applications
----------------------
- Reactor temperature control via jacket cooling
- Distillation column reboiler duty control
- Heat exchanger outlet temperature control
- Crystallizer temperature profile control

Typical Industrial Parameters
-----------------------------
Operating Temperature: 50-200°C
Control Valve Range: 0-100%
Response Time: 5-30 minutes
Accuracy: ±0.5-2.0°C
Control Interval: 1-10 seconds

Economic Impact
---------------
Energy savings: 5-15% with proper tuning
Product quality improvement: 2-8%
Reduced operator intervention: 60-80%
Maintenance cost reduction: 10-25%

Process Behavior

PID Controller Performance Comparison

The performance comparison shows trade-offs between tuning approaches:

  • Conservative tuning: Stable response, minimal overshoot, slower settling

  • Moderate tuning: Balanced performance for most applications

  • Aggressive tuning: Fast response but higher overshoot and control effort

Sensitivity Analysis

PID Controller Parameter Sensitivity

The detailed analysis illustrates:

  • Proportional gain effects: Higher Kp increases response speed but may cause overshoot

  • Disturbance rejection: PID automatically compensates for process upsets

  • Frequency response: Controller behavior across different time scales

  • Operating map: Steady-state valve position vs temperature relationship

Industrial Applications

Reactor Temperature Control: - Setpoint range: 50-200°C - Control valve: 0-100% cooling/heating duty - Typical accuracy: ±0.5-2.0°C

Flow Control Systems: - Flow range: 0.1-1000 m³/h - Response time: 1-60 seconds - Control valve or VFD manipulation

Distillation Column Control: - Reflux ratio or reboiler duty control - Temperature setpoints: 50-150°C - Conservative tuning for stability

Design Guidelines

Tuning Approach: 1. Start with proportional-only control (Ki=Kd=0) 2. Add integral action to eliminate offset 3. Add derivative for improved transient response 4. Tune conservatively for safety-critical processes

Performance Criteria: - Settling time: 2-4 process time constants - Overshoot: <10% for well-tuned systems - Steady-state error: <1% with integral action

References

  1. Åström, K.J. & Hägglund, T. (2006). Advanced PID Control. ISA Press.

  2. Stephanopoulos, G. (1984). Chemical Process Control: An Introduction to Theory and Practice. Prentice Hall.

  3. Seborg, D.E., Edgar, T.F., Mellichamp, D.A. & Doyle III, F.J. (2016). Process Dynamics and Control, 4th Edition. Wiley.