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PID and Ziegler-Nichols Tuning
The three terms answer three different questions about the same error. Proportional asks how wrong am I - it acts at once and always leaves some error behind, because zero error would mean zero output. Integral asks how long have I been wrong - it keeps pushing until the error is gone, and it is the only cure for the droop Maxwell described in 1868. Derivative asks how fast is it changing - it is Sperry's rate term, damping the loop.
None of that was new in 1942. What John Ziegler and Nathaniel Nichols contributed at Taylor Instrument was a way to SET them without knowing anything about the process. Turn the proportional gain up, with the other two at zero, until the plant oscillates steadily; call that gain Ku and time the swings to get Tu. Then read six numbers off a table: for a full three-term controller, Kp is 0.6 Ku, the integral time is Tu over 2 and the derivative time is Tu over 8. A plant engineer with a stopwatch and no model could tune a loop in an afternoon, and eighty years later most of the loops running in the physical world were still set that way.
It is worth knowing what the table is aiming at, because it is aggressive. Ziegler and Nichols targeted quarter-amplitude damping - each swing a quarter of the one before - which recovers from an upset quickly and overshoots hard on the way. That is right for a process that must shrug off disturbances and quite wrong wherever overshoot is expensive, so every handbook since has published gentler variants of the same six numbers.
Two things the equation does not mention will decide whether your loop works. The derivative term differentiates the sensor's noise as happily as the signal, and the integral term keeps accumulating while the heater is already flat out - which is why a controller without anti-windup is not a PID controller but a PID controller with a fault.
中級者
4 hours
手順
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A plant with a real dead time
A plant with a real dead time
Bolt a 10 W power resistor to one end of a short aluminium bar and press the thermistor into a hole at the other end, with a smear of thermal paste in both.
That gap is the point. Switch the heater on and time how long it takes the thermistor to move at all - several seconds of pure dead time, which is what makes this loop hard and what a bare thermistor on the resistor would hide.
このステップの材料:
Aluminum Bar Stock150 mm
Power Resistor Kit - 10W (25 pack)1 キット
NTC Thermistor Kit (50pcs, 10 Values)1 キット
Thermal Paste (Arctic Silver, 3.5g)1 tube必要な工具:
Cordless Drill
Stopwatch
Digital Multimeter (Lab Grade)
Bench Power Supply (30V/5A)2
2
The controller, with the two lines nobody mentions
The controller, with the two lines nobody mentions
One constant selects on/off, P, PI or PID; the gains come from Ku and Tu through the Ziegler-Nichols table.
Measure Ku and Tu on YOUR block first - raise Kp with the other terms at zero until the temperature swings steadily, then time it. Run all four modes and you have the notebook's table in your own hardware.
pid_heater.inocpp
このステップの材料:
IRF540N N-Channel MOSFET (10-Pack)1 パック
1/4W Resistor Kit (600pcs, 30 Values)1 キット
Dupont Jumper Wire Set (M-F, 40-Way)1 セット必要な工具:
Arduino Uno R3 SMD
Breadboard - Classic
Desktop Computer
Bench Power Supply (30V/5A)3
3
Ku, Tu, the table, and four controllers compared
Ku, Tu, the table, and four controllers compared
Loading Jupyter Notebook...
必要な工具:
Desktop Computer4
4
Compendium: the other method, and what Ku costs to find
Compendium: the other method, and what Ku costs to find
Ziegler and Nichols published two methods and the one everybody quotes is the harder one to use. Finding Ku means deliberately driving a live process into sustained oscillation, which on a chemical plant, a furnace or anything with a safety case is not a reasonable thing to do. Their open-loop method avoids it entirely: put a step into the plant with the controller off, draw a tangent at the steepest point of the response curve, and read off the apparent dead time L and the slope R. The gains follow from those two numbers alone - for a PID, Kp is 1.2 over R L, the integral time is 2 L and the derivative time is 0.5 L - and the plant is never asked to misbehave.
Both methods are really estimating the same thing, which is how much phase the plant spends before its gain runs out. That is Nyquist's question from ten years earlier, and the ultimate-sensitivity experiment measures the answer directly: at the point of steady oscillation the loop gain is exactly one and the phase exactly minus 180 degrees, so Ku and Tu ARE the coordinates of the critical point. The 1942 table is Nyquist's criterion reformulated as something you can do with a knob and a stopwatch, which is why it spread through industries that never read the 1932 paper.
必要な工具:
Notebook and Pencil材料
7- Aluminum Bar Stock10%コミッション150 mmプレースホルダー
- Power Resistor Kit - 10W (25 pack)10%コミッション1 キット¥9
- NTC Thermistor Kit10%コミッション1 キットプレースホルダー
- プレースホルダー
- IRF540N N-Channel MOSFET10%コミッション1 パックプレースホルダー
- 1/4W Resistor Kit10%コミッション1 キットプレースホルダー
- Dupont Jumper Wire Set (M-F)100%コミッション1 セットプレースホルダー
必要な工具
8- Cordless Drill10%コミッションプレースホルダー
- Digital Multimeter - Lab Grade10%コミッションプレースホルダー
- プレースホルダー
- Arduino Uno R3 SMD10%コミッション¥42
- Breadboard - Classic10%コミッション¥15
- Desktop Computer100%コミッションプレースホルダー
- Notebook and Pencil10%コミッションプレースホルダー
見積もり合計
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