Lambda Tuner vs PIDTune
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Lambda Tuner
This tool helps tune PID controllers using the Lambda method to calculate P, I, and D parameters. It's designed for intuitive use in various process industries and works on self-regulating and integrating loops. You can also use it to learn the impact of different PID parameters.
- Lambda method for PID parameter calculation
- Supports self-regulating and integrating loops
- Intuitive and easy to use interface
- Adjustable Lambda value for reaction speed
- Manual PID parameter testing
- Educational tool for PID parameter impact
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Lambda Tuner is a tool for tuning PID controllers. It is using the “Lambda method” to calculate the P,I and D parameters. It works on self-regulating loops and integrating loops. It's designed to be intuitive, easy to use and is suitable for any kind of process industry. To calculate the parameters you need to describe your process with four values. After that you select the Lambda value, thats a value of how fast you want your controller to react. You can test to manually set the PID parameters, to test if your process description behaves similar in the calculation as in reality. It can also be used as a tool to learn the different impact of the PID parameters.
PIDTune
This utility calculates PID tuning parameters using the IMC method for various process and controller types. It allows for direct input of process gain or variable changes, with adjustable tuning aggression via a slider.
- IMC method for PID tuning
- Calculates Kc, Ti, Td
- Supports FO, SO, and I process types
- Handles Parallel and Series controller types
- Adjustable tuning aggression slider
- Input process gain or variable changes
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PID Tuner uses the IMC (Internal Model Control) method to calculate PID tuning parameters. I’ve tried a lot of tuning methods over the years and have found this one to be the best. The app is written for the iPad to show all the information on one page. The program calculates: PID Parameters: Controller Gain (Kc) Integral Time (Ti) Derivative Time (Td) For process types First Order with Dead Time (FO) Second Order with Dead Time (SO) Integrating or Long Time Constant with Dead Time (I) For controller types Parallel (non-interacting) c(s) = Kc (1 + 1/(Ti s) + Td s) Series (interacting) c(s) = Kc (Ti s + 1)/(Ti s)(Td s + 1) For controller modes PID PI You can either enter the process gain (Kp) directly or enter the changes in the controlled virable (CV) and manipulated variable (MV). Tuning aggression is adjusted using the slider to set the closed loop time constant to the process time constant ratio (λ/Ƭ). The closed loop time constant (λ) is the time the controller is expected to reach set point (plus the dead time (ϴ)). Setting the closed loop time constant to process time constant ratio (λ/Ƭ) to 1.0 will make the MV change to its final value and allow the process to settle out to the setpoint. Setting (λ/Ƭ) greater than 1.0 will give a slower responce. Setting (λ/Ƭ) less than 1.0 will cause the MV to make a larger change and then reduce to its final value. Tight tuning would be to set the close loop time constant to the dead time. Use the Integrating Process type (Ƭ = ∞) for both integrating processes or processes with long time constants. These processes use the maximum slope as the process gain. Tuning aggression for these processes is determined by setting the closed loop time constant to the dead time ratio (λ/ϴ). Once again, setting the closed loop time constat to the dead time gives tight control. References: “Probably the test simple PID tuning rules in the World,” Sigurd Skogestad, Jounal of Process Control, July 3, 2001 “Consider the generalized IMC-PID method for PID controller tuning of time-delay processes,” Y. Lee, S. Park, M. Lee, Hydrocarbon Processing, January 2006
Screenshots
Verdict
The clearest difference is rating: PIDTune at 5.0 against Lambda Tuner's 3.3. PIDTune also leads on update cadence (every 4 months vs every 19 months). Lambda Tuner's advantage is price ($3.99 vs $4.99). On ratings volume, ads, in-app purchases and monetization model there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Lambda Tuner costs $3.99 and PIDTune $4.99 up front. Neither carries in-app purchases, so what you see is what you pay.
PIDTune holds the better App Store score, 5.0 against 3.3. Both are backed by a comparable volume of ratings — 3 and 2 respectively.
Lambda Tuner ships an update every 19 months, PIDTune every 4 months. The most recent releases landed on July 5, 2026 and September 21, 2026 respectively.
| Parameter | Lambda Tuner | PIDTune |
|---|---|---|
| Price | $3.99 — better | $4.99 |
| Rating | 3.3 (3 ratings) | 5.0 (2 ratings) — better |
| Positive reviews | — | 100.0% of reviews |
| Number of ratings | 3 — better | 2 |
| Update frequency | Every 19 months | Every 4 months — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Paid | Paid |
| Devices | iPhone, iPad | iPhone, iPad, iPod — better |
| Requires iOS | 16.6 | 15.0 — better |
| Further details — not scored | ||
| Size | 1 MB | 1 MB |
| Age rating | 4+ | 4+ |
| Developer | Johan Bjors | Richard H Street |
Customer experience
Lambda Tuner
PIDTune
In-app purchases
Lambda Tuner
No in-app purchases
PIDTune
No in-app purchases







