Model-based 2-D look-up table calibration tool development

Ondes, Ertugrul Baris; Bayezit, İsmail; Poergye, Imre; Hafsi, Ahmed

doi:10.1109/ascc.2017.8287309

Cited by 7 publications

(8 citation statements)

References 3 publications

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“…where 𝑓 (𝑗 = 𝑝, 𝑖, 𝑑) is a LUT for proportional, integral, and derivative gains, respectively C. Grid-Based LUT [17,18] In industry, the LUT-based gain scheduler is often adopted for nonlinear systems because it is intuitive and easy to understand [2,3]. We explain a LUT 𝑓 for 𝜌 .…”

Section: B Gain-scheduled Controllermentioning

confidence: 99%

“…Against this background, gain-scheduled PID control using look-up tables (LUTs) is often used in industry [2,3]. Gainscheduled control achieves the desired control performance by adjusting the controller parameters according to the plant's state.…”

Section: Introductionmentioning

confidence: 99%

“…Color versions of one or more of the figures in this article are available online at http://ieeexplore.ieee.org numerous parameters must be tuned to achieve the desired performance [2]. Fixed PID control requires tuning of only three parameters, whereas many parameters must be tuned for gain-scheduled control using LUTs.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Direct Data-Driven Tuning of Look-Up Tables for Feedback Control Systems

Yahagi

Kajiwara

2022

IEEE Control Syst. Lett.

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Section: B Gain-scheduled Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Direct Data-Driven Tuning of Look-Up Tables for Feedback Control Systems

Yahagi

Kajiwara

2022

IEEE Control Syst. Lett.

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“…5 PID control is used in more than 90% of the closed-loop. 6 The control law often consists of a look-up table (LUT) tuned by trial and error 7,8 because many automobile devices have nonlinearity. On the other hand, with the rapid adoption of electronic control in recent years, the time required for parameter tuning has increased.…”

Section: Introductionmentioning

confidence: 99%

Direct tuning of gain-scheduled controller for electro-pneumatic clutch position control

Yahagi

Kajiwara

2021

Advances in Mechanical Engineering

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This study proposes a gain-scheduled controller with direct tuning for the position control of a pneumatic clutch actuator that is installed in heavy-duty trucks. Pneumatic clutch actuators are highly nonlinear systems and cannot be easily controlled. Industries require a simple controller design that is easy to understand and requires few trial-and-error calibrations. Therefore, we adopted a gain-scheduled proportional integral derivative (PID) control law, which is a well-known and easy-to-understand nonlinear control method. In this approach, a gain scheduler is expressed using polynomials composed of coefficient parameters and controlled object states. The unknown coefficient parameters of the polynomials are directly tuned from the controlled object input/output data without having to use a controlled object model. The proposed controller design procedure is simple and does not require system identification or trial-and-error tuning. The effectiveness of the proposed method is verified by an experiment using an actual vehicle. The experimental results confirm the effectiveness of the proposed method for the position control of pneumatic clutch actuators.

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“…In this case, the look-up tables are a good alternative to reduce the complexity of the calculation. Also, an advantage of using look-up tables into the numerical model is the ease of modifying data by changing the height or value according to the node [1].…”

Section: Introductionmentioning

confidence: 99%

Minimization procedure of experimental tests for calibration purposes, within HVAC&R energy efficiency framework

et al. 2019

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Simulation models and predictive tools need to be fast, accurate and robust at the same time. The models that have to provide numerical solutions under transient conditions for a long period of time need to be simple with the aim of minimizing the time respond, without losing the accuracy. Thus, previous experimental data and a calibration methodology are necessary to assure this objective, both are strictly necessary to reproduce the behaviour with accuracy expected. Consequently, even accurate information (e.g. look-up tables) for HVAC&R components (e.g. heat exchangers, fan/compressor, auxiliary elements, etc.) is known and all coupling system is developed, the minimization of experimental tests for calibration purposed based scattered data interpolation is now an important aspect, which looks for reducing the quantity of experiments necessary to assure the accuracy expected from an optimization point of view. The present work shows an optimization procedure based on test number minimization according detailed error comparison against existing previous data. Illustrative results for a specific component are presented highlighting test number reduction without losing accuracy.

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Model-based 2-D look-up table calibration tool development

Cited by 7 publications

References 3 publications

Direct Data-Driven Tuning of Look-Up Tables for Feedback Control Systems

Direct Data-Driven Tuning of Look-Up Tables for Feedback Control Systems

Direct tuning of gain-scheduled controller for electro-pneumatic clutch position control

Minimization procedure of experimental tests for calibration purposes, within HVAC&R energy efficiency framework

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