Fuzzy-based active force with computed torque control of 3-RRR parallel robotic manipulator
This paper presents a robust intelligent scheme to control a highly non-linear parallel manipulator. The primary objective is to force the manipulator to track a prescribed Cartesian trajectory accurately when the system is subjected to different types of disturbances in the forms of forced harmonic...
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| Format: | Article |
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Praise Worthy Prize
2011
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| _version_ | 1796858652694413312 |
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| author | Noshadi, A. Mailah, Musa |
| author_facet | Noshadi, A. Mailah, Musa |
| author_sort | Noshadi, A. |
| collection | ePrints |
| description | This paper presents a robust intelligent scheme to control a highly non-linear parallel manipulator. The primary objective is to force the manipulator to track a prescribed Cartesian trajectory accurately when the system is subjected to different types of disturbances in the forms of forced harmonic excitations. In fact, in an environment containing various forms of disturbances, noises, uncertainties, and parametric changes, a robust control approach is pivotal in ensuring the system performance conforms to the desired specifications. A class of computed torque controller (CTC) is designed in cascade form with an active force control (AFC) technique which employs a fuzzy logic (FL) algorithm to control a 3-RRR (revolute-revolute-revolute) planar parallel manipulator. The scheme to be known as CTC-AFCAFL is applied in order to reject the disturbances while at the same time precisely track the prescribed trajectory in the wake of the introduced harmonic disturbances. The FL is specifically used to compute the estimated inertial parameters required in the AFC loop to trigger the compensation effect. The simulation results provide further insight into the superiority of the proposed control scheme in rejecting the disturbances of the 3-RRR manipulator system for the given loading and operating conditions. The results clearly demonstrate that the proposed CTC-AFCAFL scheme provides a much superior trajectory tracking capability compared to the conventional CTC alone. |
| first_indexed | 2024-03-05T19:15:36Z |
| format | Article |
| id | utm.eprints-44940 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:15:36Z |
| publishDate | 2011 |
| publisher | Praise Worthy Prize |
| record_format | dspace |
| spelling | utm.eprints-449402017-01-31T06:16:15Z http://eprints.utm.my/44940/ Fuzzy-based active force with computed torque control of 3-RRR parallel robotic manipulator Noshadi, A. Mailah, Musa HD Industries. Land use. Labor This paper presents a robust intelligent scheme to control a highly non-linear parallel manipulator. The primary objective is to force the manipulator to track a prescribed Cartesian trajectory accurately when the system is subjected to different types of disturbances in the forms of forced harmonic excitations. In fact, in an environment containing various forms of disturbances, noises, uncertainties, and parametric changes, a robust control approach is pivotal in ensuring the system performance conforms to the desired specifications. A class of computed torque controller (CTC) is designed in cascade form with an active force control (AFC) technique which employs a fuzzy logic (FL) algorithm to control a 3-RRR (revolute-revolute-revolute) planar parallel manipulator. The scheme to be known as CTC-AFCAFL is applied in order to reject the disturbances while at the same time precisely track the prescribed trajectory in the wake of the introduced harmonic disturbances. The FL is specifically used to compute the estimated inertial parameters required in the AFC loop to trigger the compensation effect. The simulation results provide further insight into the superiority of the proposed control scheme in rejecting the disturbances of the 3-RRR manipulator system for the given loading and operating conditions. The results clearly demonstrate that the proposed CTC-AFCAFL scheme provides a much superior trajectory tracking capability compared to the conventional CTC alone. Praise Worthy Prize 2011-10 Article PeerReviewed Noshadi, A. and Mailah, Musa (2011) Fuzzy-based active force with computed torque control of 3-RRR parallel robotic manipulator. International Review on Modelling and Simulations (I.Re.Mo.S), 4 (5). pp. 2666-2676. ISSN 1974-9821 |
| spellingShingle | HD Industries. Land use. Labor Noshadi, A. Mailah, Musa Fuzzy-based active force with computed torque control of 3-RRR parallel robotic manipulator |
| title | Fuzzy-based active force with computed torque control of 3-RRR parallel robotic manipulator |
| title_full | Fuzzy-based active force with computed torque control of 3-RRR parallel robotic manipulator |
| title_fullStr | Fuzzy-based active force with computed torque control of 3-RRR parallel robotic manipulator |
| title_full_unstemmed | Fuzzy-based active force with computed torque control of 3-RRR parallel robotic manipulator |
| title_short | Fuzzy-based active force with computed torque control of 3-RRR parallel robotic manipulator |
| title_sort | fuzzy based active force with computed torque control of 3 rrr parallel robotic manipulator |
| topic | HD Industries. Land use. Labor |
| work_keys_str_mv | AT noshadia fuzzybasedactiveforcewithcomputedtorquecontrolof3rrrparallelroboticmanipulator AT mailahmusa fuzzybasedactiveforcewithcomputedtorquecontrolof3rrrparallelroboticmanipulator |