Abstract
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.
Highlights
As a clean and efficient heat supply strategy, the application of an induction heating system in the lining process is limited due to its strict requirements for the temperature control system
PID control shows a decent performance in accuracy [2, 3], but the lining process does not allow longterm large overshoot and temperature oscillation, which may lead to failure of the lining layer or nonuniform thickness
These control strategies add Modelling and Simulation in Engineering an intelligent analysis system with a considerable amount of calculation before the PID controller or fuzzy PID controller directly; it means the feasibility of applying these control strategies to the lining induction heating system is questionable, because the temperature of the lining induction heating system changes quickly, and the lining powder is sensitive to temperature overshoot and accuracy
Summary
As a clean and efficient heat supply strategy, the application of an induction heating system in the lining process is limited due to its strict requirements for the temperature control system. It determines that the lack of intelligence PID control is difficult to apply in the lining induction heating system In recent years, it is based on model prediction [4, 5] and the intelligent adjustment method based on PID has good control effects, solving this problem, but predictive control requires a large number of samples to ensure accuracy, which is difficult. An intelligent analysis system with a considerable amount of calculation before the PID controller or fuzzy PID controller directly; it means the feasibility of applying these control strategies to the lining induction heating system is questionable, because the temperature of the lining induction heating system changes quickly, and the lining powder is sensitive to temperature overshoot and accuracy. This paper presents the results of the laboratory tests and properties of the variable universe fuzzy PID controller to provide a new control scheme for the temperature control of the lining induction heating system
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