Hight Efficiency Thermoelectric Temperature Control System With Improved Proportional Integral differential (PID) Algorithm Using Energy Feedback Technique

2021 ◽  
pp. 1-1
Author(s):  
Ning Wang ◽  
Zhouxiao Liu ◽  
Can Ding ◽  
Jiannan Zhang ◽  
Guorong Sui ◽  
...  
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Temperature Control System ◽  
Energy Feedback ◽  
Proportional Integral ◽  
Pid Algorithm ◽  
Thermoelectric Temperature

Entwicklung einer thermoelektrisch temperierten Motorspindel/Development of a thermoelectrically tempered motorised spindle – Integration of Peltier modules in a high-frequency motorised spindle to reduce thermally induced displacements based on direct temperature control

2020 ◽  
Vol 110 (05) ◽  
pp. 299-305 ◽  
Author(s):  
Eckart Uhlmann ◽  
Julian Polte ◽  
Sebastian Salein ◽  
Nico Iden ◽  
Peter Temme ◽  
...  
Keyword(s):  
Control System ◽  
Heat Flow ◽  
Temperature Control ◽  
Machine Tools ◽  
Temperature Control System ◽  
Flow Rates ◽  
Thermally Induced ◽  
Peltier Modules ◽  
Thermoelectric Temperature ◽  
Cutting Point

Bei der spanenden Bearbeitung mit Werkzeugmaschinen wird ein signifikanter Anteil der geometrischen Bauteilfehler durch eine thermisch bedingte veränderte Lagezuordnung zwischen Zerspanwerkzeug und Werkstück verursacht. Verantwortlich hierfür sind elektrische sowie mechanische Verlustleistungen, durch die signifikante Wärmeströme in die angrenzenden Komponenten induziert werden. Die Antriebe sowie die Lager von Motorspindeln stellen solche maßgebliche Wärmequellen dar und besitzen aufgrund der Nähe zur Zerspanstelle einen erheblichen Einfluss auf die erreichbare Arbeitsgenauigkeit von Werkzeugmaschinen. Mit dem Ziel, die thermischen Verlagerungen von Motorspindeln zu reduzieren, entwickelt das Institut für Werkzeugmaschinen und Fabrikbetrieb (IWF) in Kooperation mit der Alfred Jäger GmbH ein thermoelektrisches Temperiersystem für Motorspindeln. Der Lösungsansatz sieht die Integration von prismatischen sowie tubularen Peltierelemente vor, die eine unmittelbare Temperaturregelung der genauigkeitsbestimmenden Motorspindelkomponenten ermöglichen. Die Realisierung eines geregelten Kühl- und Heizbetriebs bietet insbesondere bei wechselnden Lasten das Potenzial zur Einhaltung eines thermischen Beharrungszustandes und damit zur Reduktion thermisch bedingter Verlagerungen. Die Funktionsweise des thermoelektrischen Temperiersystems sowie die positiven Auswirkungen auf das thermische Systemverhalten werden anhand von experimentellen Daten eines Demonstrators verdeutlicht. Zudem präsentiert der Beitrag den aktuellen Entwicklungsstand einer thermoelektrisch temperierten Motorspindel sowie das Potenzial zur Reduktion thermisch bedingter Verlagerungen.   During machining of parts, a significant proportion of geometrical errors is caused by thermally induced shifts of the positional correlation between tool and workpiece. This is due to electrical and mechanical power losses, which induce significant heat flow rates into the adjacent machine tool components. The drives and bearings of motorised spindles represent such significant heat sources. Due to their position close to the cutting point, motorised spindles have a considerable influence on the achievable working accuracy of machine tools. In order to reduce the thermal displacements of motorised spindles, the Institute for Machine Tools and Factory Management (IWF) and the Alfred Jäger GmbH develop a thermoelectric temperature control system for motorised spindles. The solution approach is based on prismatic as well as tubular Peltier modules, which allow a direct temperature control of the precision related components. Especially, in case of changing induced heat flow rates, the system offers the Potenzial to maintain a thermal steady state by controlled cooling or heating and thus, a reduction of thermally induced displacements. On basis of experimentally determined data of a scaled-down test bench, the functionality of the thermoelectric temperature control system as well as the positive effects on the thermal system behaviour could be demonstrated. In addition, the current state of development of the thermoelectrically tempered motorised spindle is presented and the Potenzial to reduce thermally induced displacements is pointed out.

Temperature Control System of Chamber Electromechanical Based on Incomplete Differential PID Algorithm

2014 ◽  
Vol 1044-1045 ◽  
pp. 885-888
Author(s):  
Guang Hu ◽  
Xue Qiang Fu ◽  
Meng Ya Nie ◽  
Hao Li
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Ambient Temperature ◽  
Temperature Control ◽  
Control Valve ◽  
Temperature Control System ◽  
Pid Algorithm ◽  
Electric Control ◽  
Control Signals ◽  
Chamber Temperature

This article introduce electromechanical chamber temperature automatic control system based on the incomplete differential PID algorithm.The system is through the temperature, humidity and flow sensor to collect signals . We get Corresponding current from PLC corresponding analog acquisition modules. Via PLC embedded Improved PID algorithm to calculate the appropriate control signals to the electric control valve actuator, Can effectively reduce the ambient temperature downhole electromechanical chamber.

The Application Research of PLC Temperature Control System Based on Fuzzy Neural Network PID

2013 ◽  
Vol 340 ◽  
pp. 517-522
Author(s):  
Yong Wei Lu
Keyword(s):  
Neural Network ◽  
Control System ◽  
Temperature Control ◽  
Control Algorithm ◽  
Fuzzy Neural Network ◽  
Experimental Result ◽  
Temperature Control System ◽  
Pid Algorithm ◽  
Fuzzy Neural ◽  
Neural Network Pid

it is hard to establish the accurate model by using the traditional PID algorithm, and hard to adjust the system parameter in nonlinear system. In order to solve this problem, this paper proposed PID algorithm based on Fuzzy Neural Network. This algorithm combined PID algorithm, fuzzy control algorithm and neural network algorithm together, and formed one kind intelligent control algorithm. This paper designed and researched this algorithm, and applied in the PLC temperature control system. The experimental result indicated that the fuzzy neural network PID controller improved the controller quality, conquered some question such as variable parameter and nonlinear, and enhanced the systems robustness.

Fluidized Bed Temperature Control System Based on Virtual Instrument Technology and Fuzzy PID Algorithm

2012 ◽  
Vol 562-564 ◽  
pp. 1594-1597
Author(s):  
Chun Qia Liu ◽  
Shi Feng Yang
Keyword(s):  
Control System ◽  
Fluidized Bed ◽  
Temperature Control ◽  
Virtual Instrument ◽  
High Reliability ◽  
Temperature Control System ◽  
Fuzzy Pid ◽  
Furnace Temperature ◽  
Pid Algorithm ◽  
Upper Computer

The fluidized bed is a complex system with a big lag, time-varying and non-linear. The conventional-PID methods are simple, practical, and high reliability. However, choosing and adjusting PID parameters rely on manual way. It is difficult to choose appropriate values when temperature requirement is higher. Inappropriate values may cause large overshoot and low control precision. Thus, in order to obtain more accurate and rapid PID control parameters and to avoid errors caused by human factors, the fuzzy control and PID algorithm were applied to the fluidized bed furnace temperature control system. The Fuzzy-PID controller was designed and the three PID parameters' self-tuning was realized. Simultaneously, the upper computer and the lower computer were designed. The lower computer mainly completed temperature measurement and adjustment functions. The collected temperature was transferred back to the upper computer at regular intervals. The upper computer was designed by virtual instrument technology. Practical operation shows that the temperature variation is below 0.3 when heating oven is in stable state and is close to the ideal PID response curve, which meets the average requirements of the fluidized bed heating oven. As an advanced reactor, fluidized bed was widely used in industrial process such as combustion, gasification and catalytic cracking[1].As the temperature affect the gas product composition of the fluidized bed, so improving the furnace temperature utilizing the automatic control system is one of the important issues furnace. The fluidized bed heating oven is heated by resistance wire heating and cooled by natural cooling. The temperature control after the adjustment is slow. It is a complex system with a big lag, time-varying and non-linear. Currently, the conventional-PID methods were taken to control the fluidized bed heating oven's temperature. This method is simple, practical, and high reliability. However, choosing and adjusting PID parameter rely on manual way, it is difficult to choose an appropriate values .Inappropriate values may cause large overshoot and low control precision. Thus, in order to obtain more accurate and rapid PID control parameters and to avoid errors caused by human factors, the fuzzy control and PID algorithm are applied to the fluidized bed furnace temperature control system. The self-tuning fuzzy PID controller is designed. Compared with the outdated control methods, PC control is more flexible and even more long-range.

Automatic PID Temperature Control of Thermoelectric Cooler Based on MSP430

2013 ◽  
Vol 709 ◽  
pp. 404-407
Author(s):  
Jian Jun Zhang
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Temperature Curve ◽  
Temperature Control System ◽  
Thermoelectric Cooler ◽  
Automatic Temperature ◽  
Pid Algorithm ◽  
Automatic Temperature Control ◽  
Working Status ◽  
Flow Circuit

In this paper, we study the temperature control system of thermoelectric cooler controlled by MSP430F149 microcomputer. The system achieves automatic temperature control by using PID algorithm and voltage-controlled steady flow circuit. Using the keyboard and LCD, we can set the temperature, display the working status and draw real-time temperature curve.

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