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Developing HERMS Temperature Control: A Study on PID-P and PI-P Cascade Control
(2025-01-01)
Panaudomsup, Sumit
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Subhagandha, Thanachok
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Chanma, Kittidach
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Boksuwan, Sungwan
The Heat Exchange Recirculating Mash System (HERMS) is widely utilized in craft brewing to maintain precise temperature control during the mashing process, which is critical for optimizing enzymatic activity and mash efficiency. This study explores the performance of two cascade control configurations: (1) a PID-P system, where an outer PID loop regulates an inner P loop, and (2) a PI-P system, where an outer PI loop regulates an inner P loop. The system was modeled using First-Order (FO) models, with control parameters optimized using Skogestad's tuning method. Simulations in MATLAB Simulink and real-world experimental validation were conducted to evaluate temperature stability, response time, energy efficiency, and wort quality. Results demonstrate that while both control strategies effectively maintain mash temperature, the PI-P configuration offers improved energy efficiency and reduced power fluctuations, making it more suitable for precision brewing applications. These findings contribute to optimizing HERMS temperature control, enhancing consistency, and reducing energy consumption in both home and industrial brewing setups.
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A prototype system to count nursery pacific white shrimp using image processing
(2018-12-10)
Boksuwan, Sungwan
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Panaudomsup, Sumit
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Cheypoca, Thepjit
This paper proposes a counting system for estimating the biomass of nursery-stage pacific white shrimp in an indoor cultured tank using an image processing technique. The outcome is to reduce an over feed and water quality issue. As a result, it leads to the reduction of an operation cost in an indoor production system because the operation cost is mainly caused by feed and water treatment. Shrimp’s biomass is directly used to determine an amount of feed. In Thailand, farmers currently use the sampling cup to sample and estimate a shrimp density. This traditional method depends on the experience and provide roughly estimation. Moreover, farmers are facing a labor issue. The proposed system is designed to estimate a shrimp’s density automatically. The system consists of a sampling cup, sampling mechanism and counting unit. In image processing, colour, size and shape are used as three main features of the nursery-stage shrimp for distinguishing from their environments. The proposed method leads to more precise estimation of the density. The experimental results obviously reveal the effectiveness of the proposed system.
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Evaluation of explicit model predictive temperature control for on-off air conditioner
(2017-12-13)
Chesof, Abdulhafiz
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Boksuwan, Sungwan
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Panaudomsup, Sumit
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Cheypoca, Thepjit
The objective is to evaluate the performance of an explicit model predictive control for controlling the room temperature actuated by the on-off air conditioner to minimize the energy usage by reducing the working time of a compressor. There are a lot of on-off air conditioners already installed in the educational building in Thailand. To replace all of those by the inverter air conditioner or HVAC system, the high investment cost is required. Therefore, the on-off air conditioners continue to work in such building. The effective solution may be the low cost control unit which is simple like a remote control. The method is to design the remote control embedded by the temperature sensor and the explicit model predictive control that is based on the off-line optimization. The experiment is performed in the laboratory room with dimension 4×7×3.5 m (WxLxH) actuated by Saijo Denki 18,320 Btu on-off air conditioner. The experimental results reveal that the temperature reaches the desired value 25 degree Celsius within 10 minute and keeps fluctuating between 23 and 26 degree Celsius. The working time of compressor is reduced 33.33 %. The result shows that the explicit model predictive control is effective for the remote control application in terms of the implementation and energy saving.
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High performance periodical paths tracking of two-dimensional handheld micromanipulator using explicit model predictive control
(2017-02-18)
Boksuwan, Sungwan
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Cheypoca, Thepjit
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Chesof, Abdulhafiz
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Kanamori, Chisato
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Panaudomsup, Sumit
The paper proposes an explicit model predictive control framework for a two-dimensional handheld micromanipulator to track periodical reference paths within microscopic working range and for all holding angles of users' hand. The control objective is to achieve a minimum tracking error and a wide bandwidth. The micromanipulator's design is oriented to such bio cell treatments. Its structure consists of two flexible decoupling links, each of which is driven by the combination of electric coils and permanent magnets as an actuator. In the experiments, the proposed framework is compared with two types of PID controllers, parameters of which are designed by Skogestand's IMC and IMC method based on the underdamped transfer function, respectively. The experimental results exhibit the effectiveness of the two-dimensional handheld micromanipulator controlled by the model predictive control framework over the PID controller ones.

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