Temperature control method of electromagnetic induction heating system with uncertain stochastic delay

Abstract

The invention discloses a temperature control method of an electromagnetic induction heating system with uncertain stochastic delay, comprising: employing fuzzy sliding mode control, including an approach motion phase and a sliding mode motion phase; in early stage of approach motion, executing maximum power quick approach under power protection constraint and temperature rise speed limiting constraint; in later stage of approach motion, approaching a sliding mode surface in logarithmic curve manner so that the system has small vibration when approaching the sliding mode surface; in the sidingmode motion phase, using fuzzy control of dual sliding mode switching function and an adaptive adjusting mechanism of switching gain, so that vibration is effectively weakened and stable control is achieved. In the sliding mode control process, learning and prediction of a least squares support vector machine and electromagnetic induction heating thermal balance modeling and analysis are employedto provide prior information for sliding mode control, and speed and stability in electromagnetic induction heating temperature control are improved.

Description

technical field [0001] The invention is mainly aimed at designing the temperature control method of the electromagnetic induction heating system under the condition of random time delay and system uncertainty, and involves sliding mode control, temperature learning prediction based on least square support vector machine, and electromagnetic induction heating heat balance Modeling and Analysis. The invention aims to solve the accurate temperature control and chattering weakening of the heating target in the electromagnetic induction heating system, and belongs to the field of automatic control. Background technique [0002] High-temperature environments widely exist in the fields of weapon development and energy security. Develop experimental capabilities under high-temperature extreme conditions, and establish impact performance test systems / device for materials commonly used in weapons under high-temperature conditions, as well as corresponding test methods, data collection...

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Problems solved by technology

The above commonly used control methods mainly have the following shortcomings: 1. Assuming that the controller itself can be accurately realized, the computational complexity is high, and the controller is fragile; 2. The uncertainty of the system under external disturbances and detection errors is ignored, and the control method 3. No combination of actual historical experimental data to improve the accuracy and stability of temperature control

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