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This paper presents a comparative study of two advanced control techniques for temperature control of a glass tempering process. The glass tempering process is a complex and nonlinear system that requires precise and robust control to achieve the desired quality and safety of the tempered glass. The conventional PID controller may not be able to handle the uncertainties and disturbances in the system. Therefore, two advanced control techniques are considered in this paper: fractional-order PID (FOPID) controller and model reference adaptive control (MRAC) controller. Both controllers are tuned by genetic algorithm (GA) to optimize their performance. The simulation results using MATLAB/Simulink demonstrate that the GA-FOPID controller can achieve better closed-loop system performance than the conventional PID controller. The performance of the GA-FOPID controller is compared with model reference adaptive control (MRAC), and parameter variations of each controller are analyzed. The comparison of the system response and performance specifications shows that the GA-FOPID controller has better robustness and stability than the MRAC controllers.

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Genetic Algorithm-Based Fractional Order Controller Design for Electric Furnace Temperature Control in Glass Tempering Process

  • 会议论文

  • 发表日期：

    2026年

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  • Tefera Terefe Yetayew,
  • Gashay Lewtie Hailu

摘要

This paper presents a comparative study of two advanced control techniques for temperature control of a glass tempering process. The glass tempering process is a complex and nonlinear system that requires precise and robust control to achieve the desired quality and safety of the tempered glass. The conventional PID controller may not be able to handle the uncertainties and disturbances in the system. Therefore, two advanced control techniques are considered in this paper: fractional-order PID (FOPID) controller and model reference adaptive control (MRAC) controller. Both controllers are tuned by genetic algorithm (GA) to optimize their performance. The simulation results using MATLAB/Simulink demonstrate that the GA-FOPID controller can achieve better closed-loop system performance than the conventional PID controller. The performance of the GA-FOPID controller is compared with model reference adaptive control (MRAC), and parameter variations of each controller are analyzed. The comparison of the system response and performance specifications shows that the GA-FOPID controller has better robustness and stability than the MRAC controllers.