Julsereewong, Amphawan
Loading...
Preferred name
Julsereewong, Amphawan
Alternative Name
Julsereewong, A.
Main Affiliation
Email
amphawan.ju@kmitl.ac.th
5 results
Now showing 1 - 5 of 5
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, Hybrid Posi cast - based PID - PDA Control Using System Identification for Continuous Tunnel Kilns(2026-06-30); ; This paper proposes a hybrid Posicast-based proportional-integral-derivative with proportional-derivative-acceleration (PID-PDA) controller for temperature regulation in delay-dominant continuous tunnel kilns. The controller is developed based on a system-identified second-order-plus-dead-time (SOPDT) model derived from industrial data and implemented in discrete time for programmable logic controllers (PLCs). A unified framework enables comparison with a standard PLC-based proportional-integral (PI) controller, an internal model control (IMC)-tuned PI controller, and a Smith Predictor-PI controller under identical conditions. Simulation results demonstrate faster response, negligible overshoot, and reduced tracking error, with improved settling time and lower, integral of absolute error (IAE), integral of squared error (ISE), and integral of time-weighted absolute error (ITAE), while maintaining comparable control effort. Robustness analysis confirms stable performance under plant perturbations, with IAE variations within approximately ± 10 (servo) and ± 1 (disturbance). The controller is validated on an Allen-Bradley PLC in a silicon controlled rectifier (SCR)-based heating system. Experimental results show improved steady-state performance, including reduced bias, lower mean absolute error (MAE) and root mean squared error (RMSE), reduced oscillation amplitude, and compliance within the ± 1 temperature band. The proposed approach provides a practical, robust, and high-performance solution for upgrading existing PLC-based systems without hardware modifications. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Safety enhancement for basic process control using 4-20 milliampere signal transmission(2021-08-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Family of Fibonacci-Type Marx Generators with a Single Inductor in a Three-Phase Configuration(2024-01-01); High-voltage discharge applications have seen a widespread adoption of solid-state Marx generators (SSMGs) in recent years. In this paper, we propose a new hybrid solid-state Marx generator (HSSMG) with a single inductor. Through the application of a three-phase Fibonacci scheme, the HSSMG is capable of achieving a substantial increase in voltage output. Furthermore, the proposed HSSMG is able to generate high voltage efficiently with fewer components. The integration of the Fibonacci and boost modules is a crucial idea in the proposed technique, where the boost module increases the output voltage of the Fibonacci module to achieve higher output voltage. Regarding the proposed two-stage HSSMG, the theoretical feasibility of the proposed topology is confirmed by theoretical analysis and Simulation Program with Integrated Circuit Emphasis (SPICE) simulations. As a result of comparative analysis, it was found that the number of circuit components of the proposed two-stage HSSMG is approximately half that of the traditional SSMG. Moreover, the newly suggested two-stage HSSMG accomplishes more than 86% power efficiency at 5 W. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, PFD analysis of LNG fuel gas supply system for improving combined-cycle power plant safety(2022-04-01); ; In order to determine an unavailability of each safety function subsystem that influences on an overall unavailability of entire protection system for safety analysis and enhancement, a modeling is required. This article presents a safety system modeling to evaluate the detected–undetected failures and repairable behaviors of each safety function subsystem in the studied fuel gas supply system (FGSS), which is utilized in a combined-cycle power plant. The proposed modeling deals with probability of failure on demand (PFD) analysis for calculation of the unavailability of three safety function subsystems, which are gas analytical subsystem (GAS), fuel gas controller subsystem (FGC), and shutdown valve subsystem (SDV). The interested GAS includes two different groups of gas analyzers in 2-out-of-2 (2oo2) voting scheme, when using three gas analyzers in each group in 2-out-of-3 and diagnosis (2oo3D) voting scheme. The interested FGC consists of two controllers in 2oo2 voting scheme, when the structure of each controller is in 1-out-of-1 and diagnosis (1oo1D) voting scheme. The interested SDV consists of two shutdown valves, which are installed in 1-out-of-2 (1oo2) voting scheme. The reliability block diagram is utilized for representative of combination of all three safety function subsystems, and the fault tree is utilized for calculation of PFD unavailability of each safety function subsystem. As the results obtained from the proposed safety function modeling, the influence of three safety function subsystems on the total unavailability of the FGSS is described. In addition, an example of the proposed modeling application to provide two guidelines for effective engineering design and operation is also presented. The first is a guideline to implement an effective human machine interface (HMI) at an operator workstation for real-time monitoring of the studied FGSS in the presence of failures that can be automatically detected by device diagnosis. The latter is a guideline to maintain and troubleshoot the failures that can be revealed by proof test. Based on diagnostic information and proof test results, operation and maintenance savings can be achieved. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, FUNCTION BLOCK IMPLEMENTATION OF PROPORTIONAL-INTEGRAL-DERIVATIVE GAIN SCHEDULING ON DISTRIBUTED CONTROL SYSTEM MODELED CENTUM VP(2024-12-01);