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Design of The Bionic Robot Hand with Electromyography Smart Sensor based on MATLAB/Simulink

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The Robust of Intelligent Control for Exoskeleton Hand Robot

The Robust of Intelligent Control for Exoskeleton Hand Robot

Oleh

I Wayan Widhiada, ST, MSc, PhD

Mechanical Engineering Department University of Udayana

Prof. Dr.T.G.Tirta Nindhia, S.T., MT

(15)

Back Ground

(16)

Expensive Cost

(17)

Fake Robot Hand (IRON MAN FROM

BALI)

(18)

MAIN COMPONEN IN ROBOTICS

(19)

OBSERVASI

(20)

DESIGN IN INVENTOR

(21)

INTELLIGENT CONTROL

(22)

Prototype Robot Exoskeleton

Prototype ini gabungan dari beberapa rangka alumunium setebal 3 milimeter dengan beberapa komponen

pendukung, yaitu motor DC, potensiometer, dan arduino.

Power Supply yaitu DC 12 Volt.

Prototype ini gabungan dari beberapa rangka alumunium setebal 3 milimeter dengan beberapa komponen

pendukung, yaitu motor DC, potensiometer, dan arduino.

Power Supply yaitu DC 12 Volt.

(23)

CODING INTO DIAGRAM BLOCK

FUZZY/SIMULINK

(24)

PROCESSING

(25)

Motor DC

Potensiometer

Gripper

Sensor Otot Arduino AKI 12 Volt

(26)

System Fuzzy Logic Control

(27)

The Result of Testing Prototype

without load

(28)

Error pada sistem yang tanpa kontrol juga cenderung berosilasi .

Maksimum error without Fuzzy Control > 9 %.

Maksimum error with Fuzzy Control <1,9 %

(29)

Result of research testing with load

(30)

Computing of the maksimum DC motor loading

torque of motor =2 Nm direction = ± 24,5 cm Ø gear 1 = 20 mm Ø gear 2 = 105 mm

torque of motor =2 Nm direction = ± 24,5 cm Ø gear 1 = 20 mm Ø gear 2 = 105 mm

Comparation of GEAR Comparation of TORQUE=

Jarak Beban

(31)
(32)

Conclusion

1. Fuzzy Logic System on a DC motor that is installed in a robot exoskeleton arm successfully replaces the servo motorthe time taken by the robot moves from 0 deg to 90 deg less than the previous time which is 1.96s.

2. The time needed to reach the peak for the first time is 2.1s. The maximum peak value is 91.71s and has a lower error of 1.9%

3. Graph The movement response given a load

variation of 0.5, 1 and 1.5 kg tends to oscillate. The maximum load that can be lifted by the robot's

exoskeleton arm is 4.37kg

1. Fuzzy Logic System on a DC motor that is installed in a robot exoskeleton arm successfully replaces the servo motorthe time taken by the robot moves from 0 deg to 90 deg less than the previous time which is 1.96s.

2. The time needed to reach the peak for the first time is 2.1s. The maximum peak value is 91.71s and has a lower error of 1.9%

3. Graph The movement response given a load

variation of 0.5, 1 and 1.5 kg tends to oscillate. The maximum load that can be lifted by the robot's

exoskeleton arm is 4.37kg

(33)

FUTURE APPLYING

(34)

APPLIED ROBOT RESEARCH

(35)
(36)

Thank You

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