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CONTROL SYSTEM USING MULTI-PERIOD DISTURBANCE OBSERVER FOR MINIMUM-PHASE SYSTEMS
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AI
DOI：10.24507/ijicic.22.02.413.png)
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Abstract
En 中文
. This paper considers a control system design for minimum-phase systems that ensures the output follows the non-periodic reference input and periodic disturbances are attenuated without repetitive control. In practical applications, a control system often has to attenuate periodic disturbances and make the output follow a non-periodic reference input. To achieve these requirements, repetitive control has been proposed. Repetitive control can attenuate periodic disturbances. However, repetitive control typically results in high-order controllers. To design a low-order controller that attenuates periodic disturbances, the control system has to be designed without using repetitive control. In this paper, the control system using a multi-period disturbance observer to attenuate periodic disturbances is proposed. The multi-period disturbance observer uses a low-order filter, and attenuate periodic disturbances using the period of disturbances. Since the multi-period disturbance observer uses a low-order filter, it becomes possible to design the low-order controller. However, there are no studies about a design method of the control system using the multi-period disturbance observer. To design a low-order controller attenuating periodic disturbances, the transfer function from the disturbance to the output must have a finite number of poles. A condition that the transfer function from the disturbance to the output has a finite number of poles is clarified. In addition, the internal stability condition of the control system using the multi-period disturbance observer that makes the number of poles finite is clarified. Based on these above conditions, a design method of the control system using the multi-period disturbance observer is also proposed.
Keywords:
Disturbance observer
Disturbance attenuation
Low sensitivity control
Minimum-phase systems
Multi-period disturbance observer
Journal
I
IF:
1.1
Papers:
79
Citations:
1.2K