Abstract ▼ AI-Helper

In this thesis, an optimal sensing mechanism has been developed to have automatic control of the suction power of the vacuum cleaners. A dust ratio has been proposed to represent the amount, the size and the continuity of the dust to be vacuumed. A control algorithm has been developed to control the...

In this thesis, an optimal sensing mechanism has been developed to have automatic control of the suction power of the vacuum cleaners. A dust ratio has been proposed to represent the amount, the size and the continuity of the dust to be vacuumed. A control algorithm has been developed to control the suction power of the vacuum cleaners according to the proposed dust ratio. A self-tuning system has been proposed by analyzing the characteristics of the electric circuit elements to avoid problems associating with system characteristic variances due to the progressive pollution on the surface of the optical elements. It has been demonstrated that the proposed control algorithm and the optical sensing mechanism can decrease the electric power consumption and the noise level of the vacuum cleaners. It has also been demonstrated that the maneuverability of the suction nozzle can be improved with the proposed works.

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