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Keywords = Ziegler–Nichol’s tangent method

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26 pages, 14124 KB  
Article
Design and Real-Time Control of an Electric Furnace with Three-Dimensional Heating
by Ali Guney and Oguzhan Cakir
Electronics 2025, 14(3), 602; https://doi.org/10.3390/electronics14030602 - 4 Feb 2025
Cited by 1 | Viewed by 1985
Abstract
Currently, heating in electric ovens is generally achieved using heaters placed on the top and bottom surfaces. In some advanced ovens, heaters are installed on the back surface, allowing 3D heating. However, in these ovens, temperature measurements are obtained from a single point, [...] Read more.
Currently, heating in electric ovens is generally achieved using heaters placed on the top and bottom surfaces. In some advanced ovens, heaters are installed on the back surface, allowing 3D heating. However, in these ovens, temperature measurements are obtained from a single point, making the temperature control unreliable. Additionally, this type of oven cannot provide homogeneous heating since it lacks heaters on the left, right, or front surfaces. In this study, a unique electric oven equipped with heaters and temperature sensors was designed and produced on all six surfaces. To model its performance, the heating behavior of the oven was derived using the Ziegler–Nichols tangent method, and the gain factors for the proportional (P), proportional-integral (PI), and proportional-integral-derivative (PID) controllers were determined. Subsequently, real-time digital control of the oven was performed using on-off, P, PI, and PID controllers, which ensured a comprehensive evaluation of the oven’s control performance. The experimental results showed that homogeneous heating could only be achieved when all panels were energized. Additionally, the PI and PID controllers stabilized the system with a maximum steady-state error of 1.3 °C in all cases, demonstrating the accuracy of the derived system model and adequacy of the implemented control system. Full article
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27 pages, 5692 KB  
Article
Making the PI and PID Controller Tuning Inspired by Ziegler and Nichols Precise and Reliable
by Mikulas Huba, Stefan Chamraz, Pavol Bistak and Damir Vrancic
Sensors 2021, 21(18), 6157; https://doi.org/10.3390/s21186157 - 14 Sep 2021
Cited by 67 | Viewed by 9576
Abstract
This paper deals with the design of a DC motor speed control implemented by an embedded controller. The design is simple and brings some important changes to the traditional Ziegler–Nichols tuning. The design also includes a novel anti-windup implementation of the controller and [...] Read more.
This paper deals with the design of a DC motor speed control implemented by an embedded controller. The design is simple and brings some important changes to the traditional Ziegler–Nichols tuning. The design also includes a novel anti-windup implementation of the controller and an integrated noise-reduction filter design. The proposed tuning method considers all important aspects of the control, such as pre-processing of the measured signals and filtering (to attenuate the measurement noise), time delays of the process, modeling and identification of the process, and constraints on the control signal. Three important aspects of designing PI and PID controllers for processes with noisy output on Arduino-type embedded computers are considered. First, it deals with the integrated design of the input filter and the controller parameters, since both are interdependent. Secondly, the method of setting the controllers from step responses by Ziegler and Nichols is modified for the case of digital signal processing (without drawing the tangent), while it recommends the suitability of its modification in terms of the use of both integral and static models. Third, the most suitable anti-windup solution for the given controller structure is proposed. In summary, the paper shows that an appropriate design of the embedded controller can achieve excellent closed-loop performance even in a noisy process environment with limited control signals. Full article
(This article belongs to the Section Physical Sensors)
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