Research on Variable Universe Fuzzy PID Control Strategy of Pipe Lining Induction Heating System

It is a promising heat supply strategy to use induction heating for the pipe lining process, but temperature control is hindering its application. In this study, we designed the variable universe fuzzy PID controller, and the lining induction heating system model was used to verify its performance. First, the transfer function parameters of the lining induction heating system are obtained by the step response method. Then, a point-by-point convergent interpolator is established through the contraction-expansion factors to realize the adaptive expansion of the fuzzy universe. Finally, the performance of PID, fuzzy PID, and variable universe fuzzy PID are compared through simulation experiments, and the ability of the controller to resist disturbance is verified by adding interference. The results show that the variable universe fuzzy PID controller can greatly improve the performance of fuzzy PID in response speed and settle time. The average stability error is smaller than PID and fuzzy PID control. It can meet the speed and accuracy requirements of the lining induction heating system. This research can be used as a reference for induction heating precise control and evidence that the variable universe fuzzy PID control can satisfy the lining induction heating process.

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Study on Variable Universe Fuzzy PID Control for Landing Gear Based on MRF (Magneto-Rheological Fluid) Damper

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.233.66 ◽

2012 ◽

Vol 233 ◽

pp. 66-71 ◽

Cited By ~ 2

Author(s):

Shi Xing Zhu ◽

Chan Juan Chen

Keyword(s):

Pid Control ◽

Pid Controller ◽

Landing Gear ◽

Fuzzy Pid ◽

Control Effect ◽

Fuzzy Pid Control ◽

Fuzzy Pid Controller ◽

Variable Universe ◽

Shock System ◽

Magneto Rheological

Aircraft landing gear shock system model was established, The system vibration differential equation and state-space equation were deserved。Based on the general fuzzy PID controller, the idea of fuzzy PID controller and its application in shock absorber system were studied. Based on MATLAB, the system simulation model was established, and the fuzzy PID control of semi-active suspension is analyzed compared to variable universe fuzzy PID control. The results show that the variable universe fuzzy PID control had better control effect.

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Simulation Analysis of Electro-Pneumatic Proportional Fuzzy-PID Control System Based on AMESim/Simulink

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.945-949.2568 ◽

2014 ◽

Vol 945-949 ◽

pp. 2568-2572

Author(s):

Si Yuan Wang ◽

Guang Sheng Ren ◽

Pan Nie

Keyword(s):

Control System ◽

Pid Control ◽

Pid Controller ◽

Simulation Analysis ◽

Fuzzy Pid ◽

Fuzzy Pid Control ◽

Proportional Control ◽

Fuzzy Pid Controller ◽

Design Requirements ◽

Set Up

The test rig for hydro-pneumatic converter used in straddle type monorail vehicles was researched, and its electro-pneumatic proportional control system was set up and simulated based on AMESim/Simulink. Compared fuzzy-PID (Proportion Integral Derivative) controller with PID controller through fuzzy logic tool box in Simulink, the results indicate that, this electro-pneumatic proportional control system can meet design requirements better, and fuzzy-PID controller has higher accuracy and stability than PID controller.

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Fuzzy-PID controller for an energy efficient personal vehicle: Two-wheel electric skateboard

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v9i6.pp5312-5320 ◽

2019 ◽

Vol 9 (6) ◽

pp. 5312

Author(s):

Bambang Sumantri ◽

Eko Henfri Binugroho ◽

Ilham Mandala Putra ◽

Rika Rokhana

Keyword(s):

Energy Consumption ◽

Pid Control ◽

Energy Efficient ◽

Pid Controller ◽

Electric Energy ◽

Fuzzy Pid ◽

Electrical System ◽

Fuzzy Pid Control ◽

Electric Energy Consumption ◽

Fuzzy Pid Controller

The two-wheeled electric skateboard (TWS) is designed for a personal vehicle. A Fuzzy-PID control strategy is designed and implemented for controlling its motion. Basically, motions control of the TWS is performed by balancing the pitch position of the TWS. Performance of the designed controller is demonstrated experimentally. The Fuzzy algorithm updates the PID gains and therefore it can handle the changing of the TWS load. Contribution of Fuzzy-PID in reducing the electric energy consumption, which is an important issue in electrical system, is also evaluated. The Fuzzy-PID successes to reduce the electric energy consumption of the TWS compared to the conventional PID.

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Induction Heating Furnace Temperature Control Based on the Fuzzy PID

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.217-219.2463 ◽

2012 ◽

Vol 217-219 ◽

pp. 2463-2466 ◽

Cited By ~ 3

Author(s):

Xue Gang Hou ◽

Cheng Long Wang

Keyword(s):

Fuzzy Control ◽

Temperature Control ◽

Induction Heating ◽

Pid Control ◽

Pid Controller ◽

Heating Furnace ◽

Fuzzy Pid ◽

Fuzzy Pid Control ◽

Furnace Temperature ◽

Run Up

Induction heating furnace temperature control is a complex nonlinear hysteretic inertial process, it's difficult to obtain an accurate mathematical model because the temperature and disturb from outside is complicated. The normal PID control algorithm is hard to satisfy the standards of control. The fuzzy PID controller provided in this article is a combination between fuzzy control and the traditional PID control. The Fuzzy control theory is used to setting the ratio, the integral and the differential coefficient of the PID control. In the run-up stage, rapidity is guaranteed, overstrike and the steady-state error is up to the mustard. An example indicates that fuzzy PID control is superior to the normal PID controller.

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Master and Auxiliary Compound Control for Multi-Channel Confluent Water Supply Switching Control Based on Variable Universe Fuzzy PID

Applied Sciences ◽

10.3390/app10227983 ◽

2020 ◽

Vol 10 (22) ◽

pp. 7983

Author(s):

Ge Zhao ◽

Jian Wang ◽

Wei Li ◽

Jinsong Zhu

Keyword(s):

Water Supply ◽

Control Strategy ◽

Pid Control ◽

Fire Fighting ◽

Step Response ◽

Fuzzy Pid ◽

Fuzzy Pid Control ◽

Variable Universe ◽

Main Pipe ◽

Compound Control

During the multi-channel confluent water supply process, the pressure control of the main pipe is often held back by such problems as non-linearity, hysteresis and parameter uncertainty, its own unique load dynamic changes, channel switching disturbance and other system characteristics caused by the actual working conditions. Moreover, pressure fluctuations in the main pipe will lead to a reduction in the service life of fire-fighting equipment, an increase in the failure rate, and even an interruption of the fire-fighting water supply. Therefore, a master and auxiliary control strategy is proposed to stabilize the pressure change in the process of multi-channel concentrated water supply switching, by using variable universe fuzzy proportional integral derivative (PID) control as the main controller on the main pipe and traditional PID control as the subsidiary controller on the channel. The control strategy is verified by the co-simulation platforms of LabVIEW and AMESim. Simulation results show that the variable universe fuzzy PID control and the master and auxiliary compound control based on the variable universe fuzzy PID control have advantages in step response, tracking response and anti-interference, respectively. The parameters obtained in the co-simulation are used in the experimental system. The experimental results show that the maximum deviation rate of main pipe pressure can be reduced by about 10% compared with other control methods under different loads. In conclusion, the proposed control strategy has strong anti-interference ability, fast dynamic response speed, high stability and good peak shaving effect.

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Application of Fuzzy PID Control in Sluice Control

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.241-244.1248 ◽

2012 ◽

Vol 241-244 ◽

pp. 1248-1254

Author(s):

Feng Chen Huang ◽

Hui Feng ◽

Zhen Li Ma ◽

Xin Hui Yin ◽

Xue Wen Wu

Keyword(s):

Fuzzy Control ◽

Pid Control ◽

Information Integration ◽

Pid Controller ◽

Fuzzy Pid ◽

Proportional Integral Derivative ◽

Fuzzy Pid Control ◽

Tuning Method ◽

Fuzzy Pid Controller ◽

Self Tuning

Fuzzy control, based on traditional Proportional-Integral-Derivative (PID) control, is used to improve the management of a hydro-junction’s sluice scheduling. In this study, we combined the PID and Fuzzy control theories and determined the PID parameters of the fuzzy self-tuning method of a hydro-junction’s sluice. A fuzzy self-tuning PID controller and its algorithm were designed. In hydro-junction sluice control, the Fuzzy PID controller can modify PID parameters in real-time, resulting in a more dynamic response. The application of the fuzzy self-tuning PID controller in the CiHuai River project information integration system yielded very good results.

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Research on Fuzzy Pid Control System of Temperatuer for Tertiary Air

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.341-342.892 ◽

2013 ◽

Vol 341-342 ◽

pp. 892-895

Author(s):

Jun Chao Zhang ◽

Shao Hong Jing

Keyword(s):

Control System ◽

Control Theory ◽

Pid Control ◽

Pid Controller ◽

Dynamic Performance ◽

Effective Control ◽

Fuzzy Pid ◽

Fuzzy Pid Control ◽

Fuzzy Pid Controller ◽

Self Tuning

The introduction of the AQC boiler has complex effects on the temperature of Tertiary air, traditional PID is difficult to achieve the effective control. Combined the method of the conventional PID with the fuzzy control theory, a fuzzy self-tuning PID controller is designed. Compared with traditional PID, results of simulation show that the fuzzy PID controller improves not only the adaptability and robustness of the system, but also the system's static and dynamic performance.

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Fuzzy PID Control and Simulation of Wind Power Generation Yaw System

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.953-954.353 ◽

2014 ◽

Vol 953-954 ◽

pp. 353-356 ◽

Cited By ~ 1

Author(s):

Fan Yang ◽

Tong Yang ◽

Xiao Hong Yang

Keyword(s):

Pid Control ◽

Pid Controller ◽

Fuzzy Pid ◽

Fuzzy Pid Control ◽

Fuzzy Pid Controller ◽

Time Performance ◽

System A ◽

Self Tuning ◽

Simulation Results ◽

The Stability

Aimed at the high inertia and non-linear characteristics of yaw system, a parameter self –tuning fuzzy PID controller is designed. The controller can adjust the PID parameters based on the wind direction variation, and make the turbines track the coming wind timely to obtain maximum power output. Simulation results show that the controller has good real-time performance and robustness compared with the traditional PID control. It can lower the fluctuation and overshoot, and improve the stability of the yaw system significantly.

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Adaptive PID Control for the Air-Conditioning System in Spray-Paint Workshop Based on Fuzzy Logic

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.433-440.5733 ◽

2012 ◽

Vol 433-440 ◽

pp. 5733-5738

Author(s):

Jie Dong

Keyword(s):

Pid Control ◽

Pid Controller ◽

Air Conditioning ◽

Good Control ◽

Heating System ◽

Fuzzy Pid ◽

Air Conditioning System ◽

Fuzzy Pid Controller ◽

Robust Property ◽

Adaptive Pid Control

As the improvement of the modern workshop’s demand for cool supply, heating system, how to effectively manage the air-conditioning equipments to satisfy the production skills for air-conditioning system has become an important subject for modern workshop design. This paper comes from the No.1 motorcar company’s project about the automatic air-conditioning system of the car spray-paint workshop. For many reasons, the conventional PID control is difficult to satisfy the car spray-paint production’s strictly demands of the temperature, after a careful research of the object, we utilize the principle of fuzzy PID adaptive control to design a fuzzy PID controller, then put it into the air-conditioning heater’s controlling, through the practice, we find the controller has a good robust property and realized a good control result.

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