基于积分滑模观测器的直线振荡电机谐振频率跟踪控制

doi:10.19595/j.cnki.1000-6753.tces.230781

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Abstract

In order to improve the safety and reliability of the system and achieve maximum output efficiency, it is necessary to simultaneously implement position sensorless piston stroke closed-loop control and resonant frequency tracking control for the linear oscillatory machine (LOM). The existing position sensorless resonance frequency tracking control methods have some problems, such as low stroke estimation accuracy and poor anti-interference ability, which can easily cause the low resonant frequency tracking accuracy and severe frequency oscillation. To improve the frequency tracking accuracy for LOM, this article investigates a new resonant frequency tracking control method based on integrated sliding mode observer (ISMO).
Firstly, based on the characteristic that when the LOM operates at the system resonant frequency point, the phase difference of stroke and current is exactly 90°,a double cross-correlation function ratio (DCFR) method is proposed to track the system resonant frequency, in which a second-order generalized integrator (SOGI) is used to generate the current orthogonal signal. This method can eliminate the influence of stroke on resonance frequency tracking control,thereby improving the anti-interference ability of the control system. Secondly, to improve the stroke estimation accuracy, an integrated sliding mode surface and a new reaching law are used to design an ISMO to reconstruct the information of back electromotive force (EMF). Then, based on the relationship that the back EMF is positive proportional to the velocity signal, the piston velocity can be calculated. By integrating the velocity signal, the piston stroke can be obtained. However, there are certain DC components existing in the measured voltage and current, the use of pure integrator will cause the integral saturation problem. To solve this problem, a SOGI is used to filter the estimated back EMF signal to obtain the accurate stroke estimation signal. Finally, the combination of ISMO and DCFR methods is used to achieve the position sensorless resonant frequency tracking control. This method combines the strong parameter robustness of ISMO and the strong anti-interference ability of DCFR, which can greatly improve the resonant frequency tracking accuracy. Experimental results show that the proposed method can effectively improve the tracking accuracy, settling time and anti-interference ability.
The following conclusions can be drawn from the experiment analysis: 1) Compared with the back electromotive force integration method, the constructed ISMO has the higher stroke estimation accuracy. 2) Using the estimated stroke signals of ISMO, the position sensorless resonant frequency tracking control can be achieved. 3) By constructing the ratio of two DC components, the proposed DCFR method can eliminate the influence of stroke variation, and obtain more steady and accurate resonant frequency tracking results than the ASCP method. 4) Based on the DCFR method, the ISMO and back EMF integration method are used to track the resonant frequency respectively, the results show that compared with the conventional back EMF, the ISMO can achieve higher tracking accuracy by providing the more accurate stroke signal.

Key words： Resonance frequency tracking control linear oscillatory machine (LOM) integral sliding mode observer (ISMO) double cross-correlation function ratio (DCFR) method second-order generalized integrator (SOGI)

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	Articles by authors
	Liao Kaiju
	Xu Wei
	Ge Jian
	Li Dongyi
	Su Shihu
	Deng Jiangming

Cite this article:

Liao Kaiju,Xu Wei,Ge Jian等. Resonant Frequency Tracking Control of Linear Oscillatory Machine Based on Integral Sliding Mode Observer[J]. Transactions of China Electrotechnical Society, 0, (): 9030-30.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.230781 OR https://dgjsxb.ces-transaction.com/EN/Y0/V/I/9030

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