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Design optimization of 3PRS parallel manipulator using global performance indices

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Abstract

This paper presents an optimal kinetostatic design method for a general 3PRS (Prismatic-revolute-spherical) spatial parallel manipulator by formulating a multi-objective optimization problem considering the performance indices are as the objective functions. Three performance criteria—Global conditioning index (GCI), Global stiffness index (GSI) and workspace volume-were formulated and the effect of actuator layout angle on the performance indices was studied. A multi-objective evolutionary algorithm based on the Control elitist non-dominated sorting genetic algorithm (CENSGA) was adopted to find the final approximation set. The optimal geometric parameters that yield minimal compliance with larger workspace volume and improved dexterity are suggested for a general 3PRS parallel manipulator. For the optimal design, it is shown that global isotropy and global stiffness of the platform is improved at the cost of workspace reduction.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Raghu Engineering College, Visakhapatnam, 531121, India

    S. Ramana Babu

  2. Department of Mechanical Engineering, Jawaharlal Nehru Technological University, Kakinada, 532111, India

    V. Ramachandra Raju

  3. Department of Mechanical Engineering, Andhra University, Visakhapatnam, 53003, India

    K. Ramji

Authors
  1. S. Ramana Babu
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  2. V. Ramachandra Raju
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  3. K. Ramji
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Corresponding author

Correspondence to S. Ramana Babu.

Additional information

Recommended by Associate Editor Kyoungchul Kong

S. Ramana Babu received the M.Tech. in 2006 from the Jawaharlal Nehru Technology University. Currently, he is an Assistant Professor in Raghu Engineering College, Visakhapatnam, India. His research interests include design and simulation of parallel manipulators.

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Ramana Babu, S., Ramachandra Raju, V. & Ramji, K. Design optimization of 3PRS parallel manipulator using global performance indices. J Mech Sci Technol 30, 4325–4335 (2016). https://doi.org/10.1007/s12206-016-0847-5

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  • DOI: https://doi.org/10.1007/s12206-016-0847-5

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