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By RealPars
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Get instant insights and key takeaways from this YouTube video by RealPars.
PID Controller Fundamentals vs. ON/OFF Control
📌 ON/OFF (Bang-Bang) Control, like a simple thermostat, switches abruptly between two states (e.g., furnace ON/OFF), causing the measured variable to cycle above and below the setpoint.
💧 Simple ON/OFF control is unsuitable for many industrial processes, such as tank level control, where fluctuations (e.g., ) around the setpoint are unacceptable.
⚙️ The PID Controller allows for proportional control over the entire output range of the final control element (e.g., a valve), enabling smooth throttling instead of just ON/OFF action.
💻 Modern PID Controllers are often implemented as block commands within PLCs or DCS systems, replacing older panel-mounted, stand-alone devices.
PID Controller Components and Function
➕ The PID output signal is the sum of signals generated by the Proportional (P), Integral (I), and Derivative (D) blocks, which are all based on the Error Signal (Process Variable minus Setpoint).
📈 The Proportional block produces an output proportional to the magnitude of the current Error Signal, but it struggles to eliminate steady-state error near the setpoint.
⏱️ The Integral block corrects for steady-state errors by generating an output proportional to the duration and magnitude of accumulated error over time.
🚀 The Derivative block anticipates future errors by generating an output proportional to the rate of change of the error signal, looking ahead for rapid changes.
Controller Tuning and Process Response
🔧 Controller Tuning is the critical activity of correctly setting the P, I, and D values to achieve desired control characteristics for a specific process.
📊 Different processes require vastly different tuning settings; for instance, a quarter-wave damped response suitable for tank level control could be disastrous in motion control.
🤖 Many modern controllers offer Autotuning capability, where the system learns process dynamics and suggests initial PID settings.
🛠️ Even after auto-tuning, additional fine-tuning by experienced professionals is often necessary to achieve the precise response desired.
Key Points & Insights
➡️ PID controllers evolved from single-station devices to integrated functions within PLCs/DCS to manage complex industrial process stability.
➡️ The three components (P, I, D) each address a different aspect of the error: magnitude, duration/accumulation, and rate of change.
➡️ Always remember that Controller Tuning must align the P, I, and D settings with the specific requirements of the controlled process dynamics.
📸 Video summarized with SummaryTube.com on Dec 09, 2025, 21:33 UTC
Find relevant products on Amazon related to this video
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Full video URL: youtube.com/watch?v=fv6dLTEvl74
Duration: 8:49
Get instant insights and key takeaways from this YouTube video by RealPars.
PID Controller Fundamentals vs. ON/OFF Control
📌 ON/OFF (Bang-Bang) Control, like a simple thermostat, switches abruptly between two states (e.g., furnace ON/OFF), causing the measured variable to cycle above and below the setpoint.
💧 Simple ON/OFF control is unsuitable for many industrial processes, such as tank level control, where fluctuations (e.g., ) around the setpoint are unacceptable.
⚙️ The PID Controller allows for proportional control over the entire output range of the final control element (e.g., a valve), enabling smooth throttling instead of just ON/OFF action.
💻 Modern PID Controllers are often implemented as block commands within PLCs or DCS systems, replacing older panel-mounted, stand-alone devices.
PID Controller Components and Function
➕ The PID output signal is the sum of signals generated by the Proportional (P), Integral (I), and Derivative (D) blocks, which are all based on the Error Signal (Process Variable minus Setpoint).
📈 The Proportional block produces an output proportional to the magnitude of the current Error Signal, but it struggles to eliminate steady-state error near the setpoint.
⏱️ The Integral block corrects for steady-state errors by generating an output proportional to the duration and magnitude of accumulated error over time.
🚀 The Derivative block anticipates future errors by generating an output proportional to the rate of change of the error signal, looking ahead for rapid changes.
Controller Tuning and Process Response
🔧 Controller Tuning is the critical activity of correctly setting the P, I, and D values to achieve desired control characteristics for a specific process.
📊 Different processes require vastly different tuning settings; for instance, a quarter-wave damped response suitable for tank level control could be disastrous in motion control.
🤖 Many modern controllers offer Autotuning capability, where the system learns process dynamics and suggests initial PID settings.
🛠️ Even after auto-tuning, additional fine-tuning by experienced professionals is often necessary to achieve the precise response desired.
Key Points & Insights
➡️ PID controllers evolved from single-station devices to integrated functions within PLCs/DCS to manage complex industrial process stability.
➡️ The three components (P, I, D) each address a different aspect of the error: magnitude, duration/accumulation, and rate of change.
➡️ Always remember that Controller Tuning must align the P, I, and D settings with the specific requirements of the controlled process dynamics.
📸 Video summarized with SummaryTube.com on Dec 09, 2025, 21:33 UTC
Find relevant products on Amazon related to this video
As an Amazon Associate, we earn from qualifying purchases

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