Microwave heating of water in a rectangular waveguide: Validating EOF-Library against COMSOL multiphysics and existing numerical studies

Venčels, Juris; Birjukovs, Mihails; Kataja, Juhani; Råback, Peter

doi:10.1016/j.csite.2019.100530

Cited by 12 publications

(1 citation statement)

References 15 publications

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“…Research on microwave heating system model mainly aimed to obtain the most appropriate model applied to heat a certain product with predefined performances [11]. Designing the model of microwave cavity or waveguide and evaluation of the position of microwave generator are some focuses that researchers concerned for in terms of research on microwave heating system model [12,13]. Besides, there are also few researchers who took part in modelling the dynamics of microwave heating system.…”

Section: Introductionmentioning

confidence: 99%

Microwave heating control system using genetic algorithm-based PID controller

Apriaskar

Prastiyanto

Malik

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The superiorities of microwave heating technology have attracted many researchers for further development. Designing a satisfying temperature control system for the microwave system is one of them. To confirm that the controller can work with good system performance, the adjustment of controller parameters is important. Most previous research about microwave control systems did not focus on the tuning problem which is presented in this work. This paper provides the use of a genetic algorithm to adjust the best parameters for a PID controller. A microwave heating system with a single microwave power input and a single output temperature probe which is identified using the ARX model is examined. Evaluation of the proposed controller was conducted in the simulation environment using MATLAB. The result shows that the genetic algorithm can obtain the most optimized parameter for PID controller which can follow a certain heating pattern. The parameters for Kp, Ki, and Kd are 998.94, 79.42, and 79.78, respectively. It can minimize the value of integral absolute error for the given setpoint to 446.11.

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Section: Introductionmentioning

confidence: 99%