Fuzzy PID Temperature Control Research Articles

Energy Saving Research on Temperature Control in Data Center Server Rooms

Abstract To tackle the challenge of inefficient traditional control methods and energy wastage caused by temperature disparities within the data center’s server room cooling system, this research initiative initially installed temperature and humidity sensors in each cabinet to gather comprehensive data. Subsequently, a detailed mathematical model of the room’s temperature system was formulated to assess the influence of air supply airflow distribution on the temperature distribution. Following this, through the integration of fuzzy theory with the PID control strategy, a sophisticated fuzzy PID controller was developed. Utilizing Simulink, an in-depth simulation analysis of both PID and fuzzy PID temperature control strategies was executed. The outcomes of the simulations underscored that fuzzy PID control effectively addresses the time delay and stability concerns present in conventional PID temperature control systems. Lastly, empirical validation confirmed that the fuzzy PID control algorithm can proficiently manage the server room’s temperature while concurrently decreasing the intake of cold air, thus promoting energy conservation. This control approach showcases commendable adaptability and robust performance characteristics.

Improved Particle Swarm Fuzzy PID Temperature Control for the Pellet Grills

Improved Particle Swarm Fuzzy PID Temperature Control for the Pellet Grills

Design of vacuum annealing furnace temperature control system based on GA-Fuzzy-PID algorithm.

As is well known, the metal annealing process has the characteristics of heat concentration and rapid heating. Traditional vacuum annealing furnaces use PID control method, which has problems such as high temperature fluctuation, large overshoot, and long response time during the heating and heating process. Based on this situation, some domestic scholars have adopted fuzzy PID control algorithm in the temperature control of vacuum annealing furnaces. Due to the fact that fuzzy rules are formulated through a large amount of on-site temperature data and experience summary, there is a certain degree of subjectivity, which cannot ensure that each rule is optimal. In response to this drawback, the author combined the technical parameters of vacuum annealing furnace equipment, The fuzzy PID temperature control of the vacuum annealing furnace is optimized using genetic algorithm. Through simulation and comparative analysis, it is concluded that the design of the fuzzy PID vacuum annealing furnace temperature control system based on GA optimization is superior to fuzzy PID and traditional PID control in terms of temperature accuracy, rise time, and overshoot control. Finally, it was verified through offline experiments that the fuzzy PID temperature control system based on GA optimization meets the annealing temperature requirements of metal workpieces and can be applied to the temperature control system of vacuum annealing furnaces.

An Innovative System of Deep In Situ Environment Reconstruction and Core Transfer

The reconstruction of deep in situ environment up to 95 °C and 70 MPa using water is critical for the fidelity testing of deep Earth rocks. The temperature and pressure of the water have strong coupling in such an environment, which makes the control of temperature and pressure very difficult. The paper firstly presents the design of the system of deep in situ environment reconstruction and core transfer (SERCT); secondly, for the problem of high temperature and pressure control, a pressure-temperature (P-T) interpolation control algorithm based on the iso–density P-T curves of water is proposed. A P-T coupling control path is decomposed into two independent interpolation paths: an iso–thermal pressure control and an iso–mass temperature control, which realizes the decoupling control of temperature and pressure. Then, a fuzzy-PID dual mode method is adopted for the pressure control after decoupling, which reduces the overshoot and the dynamic response time of the system. For temperature control, a segmented and grouped electric heating mode is designed to improve the uniformity of the temperature field. A fuzzy PID temperature control algorithm based on grey prediction is proposed to achieve high precision temperature control with small overshoot. Finally, the effectiveness of the proposed methods is verified by experiments.

The effect of fuzzy PID temperature control on thermal behavior analysis and kinetics study of biomass microwave pyrolysis

This study aims to investigate the thermal degradation behavior and kinetics of biomass microwave pyrolysis, which was improved and verified with a fuzzy PID control algorithm. Cellulose, xylan (hemicellulose) and lignin were used as model compounds of biomass and the thermal degradation behavior of biomass during pyrolysis was analyzed via microwave-TGA. The transfer function models of the biomass heating process were established. Compared with traditional PID control, the use of the fuzzy PID control algorithm significantly improved the response speed of the system. The response time was reduced from 38 s to only 4 s, and the steady-state improved with the fuzzy PID control. Fuzzy PID control promoted the thermal decomposition temperature to a lower area. The activation energies (E) for microwave pyrolysis of corn stover, lignin, cellulose and hemicellulose were reduced about 15.2 %, 17.3 %, 19.9 % and 11.8 %, respectively. Hence, more precise temperature control via the fuzzy PID algorithm can reduce the error in the experiment and improve the energy utilization efficiency during biomass conversion.

Design of self-heating test platform for sulfide corrosion and oxidation based on Fuzzy PID temperature control system

In this paper, the changes of oxidation temperature of sulfide corrosion and the deficiency of distributed optical fiber application were analyzed. The test platform of oxidation temperature of sulfide corrosion was established, and the performance test of optical fiber and the simulation of oxidation temperature of sulfide corrosion were realized. The hardware part of the control system used STM32 as the controller, the software part was based on the process characteristics of the controlled object, using MATLAB to carry out the simulation of PID, fuzzy, fuzzy PD plus I, fuzzy PID algorithms, and their performance are evaluated using both single indexes and comprehensive indexes. The experimental results also showed that the proposed fuzzy PID can achieve better control performance with less overshoot and shorter setting time. Therefore, the fuzzy PID was chosen as the temperature control algorithm to build the optical fiber sensor test platform, and an alarm method for testing the oxidation temperature of large area sulfide corrosion based on the optical fiber performance was obtained. Then, considering the influence of spatial resolution on optical fiber sensor, this paper used piecewise PID to simulate the temperature rise process of three stages of sulfurization corrosion and oxidation. The results showed that the alarm method of oxidation temperature of sulfurization corrosion has limitations for small-scale oxidation of sulfurization corrosion, and it needed to be combined with machine learning to identify temperature anomaly.

Recoverable Autonomous Sonde for subglacial lakes exploration: heating control system design

AbstractDrilling and sampling are the most direct and effective methods available to study Antarctic subglacial lakes. Based on the Philberth probe, a Recoverable Autonomous Sonde (RECAS) allows for in situ lake water measurement and sampling, through the addition of an upper thermal tip and a cable recoiling mechanism. RECAS-200, a prototype of RECAS, has a drilling depth of 200 m, a surface supply voltage of 800 VAC and a downhole power of ~9.6 kW during drilling. In this study, a heating control system for RECAS-200 was designed. The system avoids the need for high-power step-down converters, by separating heating power from control power, thereby reducing the overall weight of the probe and avoiding the need to increase cable diameter. We also introduce a self-developed, small, solid-state, 800 VAC power regulator and a fuzzy PID temperature control algorithm. Their purpose was to manage the power adjustment of each heating element and to provide closed-loop temperature control of certain heating elements which can easily burn out due to overheating. Test results indicated that the proposed RECAS-200 heating control system met all our design specifications and could be easily assembled into the RECAS-200 probe.

A precision temperature control approach for piezoelectric jet dispenser

Jet dispenser is widely used in LED (light emitting diode), microelectronic and optoelectronic packaging field. Temperature fluctuation of adhesives is a significant factor which affects the consistency of jet dispenser. As the working condition of jet dispenser is variable, the traditional PID temperature control method cannot meet requirements of high precision dispensing. A new temperature control system is designed for a proposed jet dispenser. Fuzzy PID temperature control approach is applied in the system. Temperature fluctuation is decreased from ±3.2 to ±1.1 °C with the new system. The jetting performance will be improved with the temperature control approach.

Design of Fuzzy PID Temperature Control System

Temperature plays an important role in daily life, industry production and scientific experimentation. However, because of the multi characteristics of nonlinearity, large lag, and time-varying of control objects, there will be great difficulties in establishing accurate mathematical models with mathematical methods. In order to achieve well controlling effects, this paper proposes a mature controlling system. This system combines PID algorithm and fuzzy control to design a fuzzy PID intelligent controller, which could process complex data and complex systems simultaneously. The high flexibility of fuzzy control and the high precision of PID control of this system could solve the influence of large inertia and interference of the temperature control system. This design will adopt the STC89C52 MCU as the main control core. Meanwhile, the fuzzy PID controller are combined with fuzzy control and PID control to control the temperature. In this paper, we first introduce the hardware composition of PID temperature control system. Secondly, we use proteus to build the general circuit diagram, and then use KEIL software to program again. Finally, we simulate the system and analyze the simulation results by the simulink module in MATLAB, and finally achieve the expected results.

Modified Smith fuzzy PID temperature control in an oil-replenishing device for deep-sea hydraulic system

With the characteristics of large inertia, large time delay and time-varying parameters, it is difficult to control accurately the oil heating process in an oil-replenishing device for deep-sea hydraulic system. Four temperature control methods are presented and compared in this paper, i.e. proportional–integral–derivative controller(PID controller), fuzzy PID controller, Smith fuzzy PID controller and modified Smith fuzzy PID controller which adds a first order filter in the Smith predictor. They are simulated in MATLAB/SIMULINK based on the cases of transfer function matching and mismatching between the theoretical and the actual model. The results show that, in both cases, the step response curve of the modified Smith fuzzy PID controller has neither the significant oscillation nor the overshoot and requires the minimum time to achieve stabilization as well. Furthermore, this paper applies those four control methods in actual oil heating temperature control process through PIC16F877A micro controller unit (MCU). The experimental data demonstrate that the oil heating system controlled by the modified Smith fuzzy PID controller could stabilize at the expected temperature with nearly no overshoot, which further proves that the modified Smith fuzzy PID controller is able to sufficiently meet the challenges of industrial applications containing varying system parameters.

Research of Fuzzy-PID Temperature Control and Mathematical Modeling of Rice germination System Based on Genetic Algorithm

In the process of the rice germination, temperature control is the key. Due to the accelerating seed germination system belongs to a complex nonlinear, large time delay and multivariable, it is difficult to establish the exact mathematical relationship model. In order to solve this problem, in this paper, we established the model based on RBF neural network, and used genetic algorithm to optimize the parameters of the neural network. In order to realize the accurate control of temperature and ensure the quality of rice sprouting, Fuzzy-PID control method can adjusts the parameters of PID and effectively improve the uniform distribution of temperature in the germinating box. The 3D graphics of temperature distribution obtained by MATLAB can show effectiveness of the method. Finally, the control strategy and system model improving the rice budding rate and evenness of emergence, are verified by experimental verification.

Research on Fuzzy-PID Temperature Control System for Double Helix Resistor

Double Helix Resistor (DHR) can be used to establish AC resistance standard. Because the short-term stability of the DHR is very important during the process of quantity value dissemination, the DHR should be kept in a temperature-controlled environment. This paper presents a Fuzzy-PID temperature control method based on MSP430F149, the overshoot and adjustment time of the temperature control system can be reduced by using the Fuzzy control rules to adjust PID parameters. A special resistance box is designed to place DHR and decrease the exterior EMI effectively. At last, Fluke 8508A is used to measure the resistance of DHR. The measurement results show that the short-time relative stability of DHR is enhanced to 3×10-7after applying the presented temperature control system.

Simulation of Smith fuzzy PID temperature control in enzymatic detection of pesticide residues.

Enzyme activity is easily influenced by temperature, resulting in accuracy decline of enzymatic detection of pesticide residues. In this study, a controller which controls the internal temperature of the pesticide residues detector was simulated and analyzed. The mathematical model of temperature control was established by the application of the heat transfer theory. Against models with characteristics of large inertia and large hysteresis, a Smith fuzzy PID controller was proposed by combining the Smith predictor with the fuzzy PID controller. The PID controller, the fuzzy PID controller, and the Smith fuzzy PID controller were simulated in MATLAB, respectively in the same step signal given with amplitude of 1. The performance indexes (percent overshoot, settling time, and steady-state error) of various controllers were presented as follows: the PID controller (19%, 250 s, 0.0001), the fuzzy PID controller (11%, 450 s, 0.0001), and the Smith fuzzy PID controller (0%, 140 s, 0). From 1 180 s to 1 230 s, an interference signal with amplitude of 5 was added to test interference immunity. The PID controller and the fuzzy PID controller had greater fluctuations, but the Smith fuzzy PID controller had no fluctuations. The recovery time of each controller was described below: the PID controller (200 s), the fuzzy PID controller (300 s), and the Smith fuzzy PID controller (120 s). Robustness of the controller was tested by adjusting the time constant and the delay time. The performance indexes of the controllers were shown as follows: the PID controller (38%, 450 s, 0.0001), the fuzzy PID controller (23%, 880 s, 0.00025), and the Smith fuzzy PID controller (1%, 150 s, 0). The results of simulation showed that the performance indexes of the Smith fuzzy PID controller were better than that of the other controllers. Besides, the robustness and interference immunity are stronger than other controllers as well. The Smith fuzzy PID controller can accurately control the internal temperature of the pesticide residues detector to provide the best temperature for enzymatic detection. DOI: 10.3965/j.ijabe.20150801.007 Citation: Sun J, Zhang M X, Li Z M, Wu X H. Simulation of Smith fuzzy PID temperature control in enzymatic detection of pesticide residues. Int J Agric & Biol Eng, 2015; 8(1): 50－56.

Research and Design of the Temperature Control System of Crystal Annealing Furnace

Herein, a novel fuzzy PID temperature control system was proposed based on the technological process and control requirement of the crystal annealing furnace. Simultaneously, the electric control system was also designed with SIEMENS S7-300 PLC as the master controller. The results indicated that the system has the merit of rapid response time, low temperature fluctuation and all of the test items could meet the requirement of the actual utilization.

Simulations Research on Smith Predictive Adaptive Fuzzy-PID Compound Controller in the Temperature Control System of Microchip Level PCR Instrument

Study on the temperature controlling optimization problem of a novel microchip level PCR instrument, a compound control scheme based on Smith predictive and adaptive Fuzzy-PID is presented. Because the temperature control system of microchip level PCR instrument is a time-varying, non-linear and pure time delay complex system, to achieve the different temperature zones rapid switching and the temperature precision controlling is easy to be affected by time delay factor, it may encounter problems such as large overshoot, and even poor stability in the control of system with time delay. In this system, Smith predictable compensation control temperature algorithm should be adopted to decrease the overshooting and oscillating, adaptive Fuzzy-PID control temperature algorithm should be adopted to solve the problem of low precision and poor capability because of the fuzzy rules roughness. The simulation results show that the Smith predictive adaptive Fuzzy-PID temperature control algorithm has the fast response, high precision temperature controlling and strong robust properties, and it can provide a reference for the intelligent temperature control system design of microchip level PCR instrument. Keywords: Microchip level PCR instrument; Smith prediction; Adaptive Fuzzy-PID controlling algorithm; Temperature control system

Fuzzy PID Temperature Control System of Reaction Kettle Based on PLC

Adopt a fuzzy PID control algorithm in order to solve the control difficulty which caused by the uncertainty lag of temperature control in chemical reaction kettle. The algorithm is realized by utilizing PLC system function. The system takes full advantage of the features of PLC control system, such as flexibility, reliability, and strong capacity of resisting disturbance. Field application result shows that the system eliminates the impact of time-varying delay on control function well. It has good robustness.

The Temperature Control System Design of Microchip Level PCR Instrument Based on SOPC

A design approach of the temperature control of a novel microchip level PCR instrument based on SOPC technique is presented in this paper. The soft-core processor with RISC framework, NIOS II, which embedded in the FPGA (CyclonIII EP3C16F484C6) of Altera corp., is used as the key component to control the PWM controller achieving the temperature control of the micro-chamber stationary microchip level PCR instrument, to control the Avalon stream slave peripheral acquiring controller achieving the temperature signal detection by the flexible snake like copper wire temperature sensor, and to control the micro-pump and the micro-valve achieving the sample injection and sample outflow controlling. Simultaneously, the control temperature algorithm based on the Smith predictive and adaptive Fuzzy-PID is adapted in this system. The design of PCR microchip, the Smith predictive adaptive Fuzzy-PID temperature control algorithm, the hardware framework and the software design of control system are mainly introduced. And the simulation results testified the correctness of the design method and practicability. Keywords: Microchip level PCR instrument; Smith predictive and adaptive Fuzzy-PID controller; SOPC; The flexible snake like copper wire temperature sensor

Fuzzy PID Temperature Control in Manufacturing Engineering

This paper introduces the basic concept of fuzzy PID in manufacturing engineering, and the system of temperature control is analyzed, and the temperature is designed with correction factor and the optimized parameters with the application of the fuzzy general MATLAB in simulink toolbox, the temperature is designed by comparing fuzzy PID output with raditional output, the system has the characteristic of quick response, short setting time, small overshoots, and high control precision.