Fuzzy-PID Position Control of a Three Fingered Robot Hand for Grasping Varying Loads / Norshariza Mohd Salleh ...[et al.]

Mohd Salleh, Norshariza and Ahmad Shauri, Ruhizan Liza and Nasir, Khairunnisa and Remeli, Nurul Hanani (2017) Fuzzy-PID Position Control of a Three Fingered Robot Hand for Grasping Varying Loads / Norshariza Mohd Salleh ...[et al.]. Journal of Mechanical Engineering (JMechE), SI 4 (1). pp. 61-77. ISSN 18235514

Abstract

In previous study, PID control was used to control the joint’s motor position of a three fingered robot hand. However, it can be observed that PID control alone could not cater the nonlinearities caused by varying weight loads and friction from the gears. Both the settling time and rise time increased as the weight exceeded 20g, thus deteriorated the transient response performance. Therefore, this paper discusses the development of an intelligent system with PID control namely Fuzzy-PID control for a 6-DOF robot hand. The proposed control is capable of tuning the PID gains automatically when different loads are applied. Fuzzy Inference System was established based on the previous investigation on the effects of varying loads with the transient response parameters where the settling time and rise time have been taken as inputs and PID gains as the outputs. The proposed control specifically focused on one of the 2-DOF robotic finger. The same control inputs were applied to the motors of the other two fingers to provide synchronous motion. Finally, the proposed control was verified in real-time experiments for varying weight loads from 0g to 100g with 20g increments in terms of percent of overshoot, settling time, rise time and steady state error. From the experimental results, Fuzzy-PID control proved that it is capable to improve TS by the maximum of 17.75% and the maximum of 1.21% of TR compared to PID control only. No significant improvement was observed for percentage of overshoot and steady state error. Furthermore, the proposed control has successfully applied for random weights grasping by the 6-DOF robot hand with TS and TR improvement of 14.51% for joint 1, 9.82% for joint 2 and 3.54% of joint 1 and 2.69% of joint 2 respectively compared to PID control. Hence, the proposed Fuzzy-PID can be applied for grasping objects with different weight in future work.

Metadata

Item Type: Article
Creators:
CreatorsEmail / ID. Num
Mohd Salleh, NorsharizaUNSPECIFIED
Ahmad Shauri, Ruhizan LizaUNSPECIFIED
Nasir, KhairunnisaUNSPECIFIED
Remeli, Nurul HananiUNSPECIFIED
Subjects: Q Science > QA Mathematics > Fuzzy arithmetic
Q Science > QA Mathematics > Fuzzy logic
T Technology > TJ Mechanical engineering and machinery
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Mechanical Engineering
Journal or Publication Title: Journal of Mechanical Engineering (JMechE)
Journal: UiTM Journal > Journal of Mechanical Engineering (JMechE)
ISSN: 18235514
Volume: SI 4
Number: 1
Page Range: pp. 61-77
Item ID: 39230
Uncontrolled Keywords: PID Optimization, Fuzzy-PID Control, Auto-Tuning Gain, Fuzzy Control
URI: http://ir.uitm.edu.my/id/eprint/39230

Download

[img] Text
39230.pdf

Download (936kB)

Others


View in Google Scholar

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year