Journal of Iranian Association of Electrical and Electronics Engineers
مجله مهندسی برق و الکترونیک ایران
Journal of Iranian Association of Electrical and Electronics Engineers
Engineering & Technology
http://jiaeee.com
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admin
1735-7152
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jalali
1396
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gregorian
2018
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en
Voltage-Base Control of Camera Stabilizer Using Optimal Adaptive Fuzzy Sliding Mode Control
Voltage-Base Control of Camera Stabilizer Using Optimal Adaptive Fuzzy Sliding Mode Control
کنترل
Control
پژوهشي
Research
<p class="ENabstract" dir="ltr" style="text-align: justify;">The camera stabilizer stabilizes the camera’s line of sight by isolating the camera from the model uncertainties, disturbances of operating environment and system movements. This paper presents a voltage-base optimal adaptive fuzzy sliding mode control for camera stabilizer. In this proposed control method, a voltage-base sliding mode controller is applied. But unfortunately, undesirable control input chattering is caused by employing the sliding mode control. In the following, for the prevention of incidence of the control input chattering, a ﬁrst order TSK fuzzy approximator is employed. Although fuzzy sliding mode control prevents the chattering phenomenon, it has some disadvantages such as disability in estimating the bounds of the existing uncertainties and lack of stability proof of the closed-loop system. In what follows, to overcome the aforementioned problems, an adaptive fuzzy system is designed such that it can estimate the bounds of the existing uncertainties. Ultimately, the chicken swarm optimization algorithm is utilized to determine the optimal values of coefficients of the adaptive fuzzy sliding mode control and to decrease the control input amplitude. To investigate the desirable performance of the optimal adaptive fuzzy sliding mode controller, simulations in four steps are implemented on a camera stabilizer. <!--stripped--><!--stripped--></p>
<p class="ENabstract" style="text-align: justify;">The camera stabilizer stabilizes the camera’s line of sight by isolating the camera from the model uncertainties, disturbances of operating environment and system movements. This paper presents a voltage-base optimal adaptive fuzzy sliding mode control for camera stabilizer. In this proposed control method, a voltage-base sliding mode controller is applied. But unfortunately, undesirable control input chattering is caused by employing the sliding mode control. In the following, for the prevention of incidence of the control input chattering, a ﬁrst order TSK fuzzy approximator is employed. Although fuzzy sliding mode control prevents the chattering phenomenon, it has some disadvantages such as disability in estimating the bounds of the existing uncertainties and lack of stability proof of the closed-loop system. In what follows, to overcome the aforementioned problems, an adaptive fuzzy system is designed such that it can estimate the bounds of the existing uncertainties. Ultimately, the chicken swarm optimization algorithm is utilized to determine the optimal values of coefficients of the adaptive fuzzy sliding mode control and to decrease the control input amplitude. To investigate the desirable performance of the optimal adaptive fuzzy sliding mode controller, simulations in four steps are implemented on a camera stabilizer. <!--stripped--><!--stripped--></p>
Camera stabilizer, Voltage-base control, Optimal adaptive fuzzy sliding mode control, Uncertainty, Chattering, Inverse dynamic method.
Camera stabilizer, Voltage-base control, Optimal adaptive fuzzy sliding mode control, Uncertainty, Chattering, Inverse dynamic method.
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http://jiaeee.com/browse.php?a_code=A-10-1-248&slc_lang=en&sid=1
Mohammad
Veysi
Mohammad
Veysi
mohammad.veysi61@yahoo.com
`10031947532846001835`

10031947532846001835
Yes
MSc, Department of Electrical Engineering, Khatam ol Anbia University, Tehran, Iran.
Mohammad Reza
Soltanpour
Mohammad Reza
Soltanpour
m_r_soltanpour@yahoo.com
`10031947532846001836`

10031947532846001836
No
Associate Professor, Department of Electrical Engineering, Shahid Sattari Aeronautical University of Science and Technology, Tehran, Iran.