Process control is the engineering discipline concerned with maintaining process variables (temperature, pressure, flow rate, composition) at desired setpoints by manipulating control variables through feedback and feedforward control strategies. A typical feedback control loop consists of a sensor, controller (commonly PID), and final control element (valve or pump) that continuously corrects deviations from setpoint. It is essential in chemical plants, oil refineries, pharmaceutical manufacturing, and food processing to ensure product quality, process safety, and energy efficiency.
u(t) = Kp×e(t) + Ki×∫e(t)dt + Kd×de(t)/dt
LaTeX: u(t) = K_p e(t) + K_i \int_0^t e(\tau)d\tau + K_d \frac{de(t)}{dt}
| Symbol | Meaning | Unit |
|---|---|---|
| u(t) | Controller output (manipulated variable) | varies (e.g., valve %) |
| e(t) | Error = setpoint − measured value | same as process variable |
| K_p | Proportional gain | dimensionless |
| K_i | Integral gain | per second (1/s) |
| K_d | Derivative gain | seconds (s) |
Problem
A temperature controller has Kp = 2.5, Ki = 0.5 s⁻¹, Kd = 0.1 s. At time t, the setpoint is 150 °C, the measured temperature is 145 °C, the integral of error over time is 8 °C·s, and the rate of change of error is −0.5 °C/s. Calculate the controller output.
Solution
Step 1: Error e(t) = 150 − 145 = 5 °C. Step 2: Proportional term: Kp × e = 2.5 × 5 = 12.5. Step 3: Integral term: Ki × ∫e dt = 0.5 × 8 = 4.0. Step 4: Derivative term: Kd × de/dt = 0.1 × (−0.5) = −0.05. Step 5: u(t) = 12.5 + 4.0 + (−0.05) = 16.45.
Answer
Controller output u(t) = 16.45 (in controller output units, e.g., % valve opening)
| Parameter Increase | Rise Time | Overshoot | Settling Time | Steady-State Error |
|---|---|---|---|---|
| Increase Kp | Decrease | Increase | Small change | Decrease |
| Increase Ki | Decrease | Increase | Increase | Eliminate |
| Increase Kd | Minor change | Decrease | Decrease | Minor change |
| High Kp only | Fast | High | Long | Residual error |
| Optimal PID | Moderate | Minimal | Short | Zero |
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The heat transfer coefficient (h) is a proportionality constant that quantifies the rate of heat transfer per unit area per unit temperature difference between a surface and a fluid in contact with it. It combines the effects of conduction through the fluid boundary layer and convection driven by fluid motion, making it central to the design of heat exchangers, reactors, and process equipment. Higher values indicate more efficient heat transfer, and the coefficient depends strongly on fluid properties, flow velocity, geometry, and surface roughness.
"Process" from Latin "processus" (advance, progress). "Control" from Latin "contra rotulus" (counter-roll, a record). Feedback control theory was developed by James Watt (flyball governor, 1788), formalised by Minorsky (PID, 1922), and systematised by Ziegler and Nichols (1942) with their famous tuning rules still used today.