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2 results

  • Dynamic modeling and power optimization of a 4RPSP+PS parallel flight simulator machine

  • Soheil Zarkandi
  • Journal:
    Robotica / Volume 40 / Issue 3 / March 2022
    Published online by Cambridge University Press:
    16 June 2021, pp. 646-671

  • Reducing consumed power of a robotic machine has an essential role in enhancing its energy efficiency and must be considered during its design process. This paper deals with dynamic modeling and power optimization of a four-degrees-of-freedom flight simulator machine. Simulator cabin of the machine has yaw, pitch, roll and heave motions produced by a 4RPSP+PS parallel manipulator (PM). Using the Euler–Lagrange method, a closed-form dynamic equation is derived for the 4RPSP+PS PM, and its power consumption is computed on the entire workspace. Then, a newly introduced optimization algorithm called multiobjective golden eagle optimizer is utilized to establish a Pareto front of optimal designs of the manipulator having a relatively larger workspace and lower power consumption. The results are verified through numerical examples.

  • 16 - Distributed Optimization for Power and Energy Systems

  • from Part V - Large-Scale Optimization
  • Edited by Ali Tajer, Rensselaer Polytechnic Institute, New York, Samir M. Perlaza, H. Vincent Poor, Princeton University, New Jersey
  • Book:
    Advanced Data Analytics for Power Systems
    Published online:
    22 March 2021
    Print publication:
    08 April 2021, pp 400-430

  • Summary

    The electric power system is evolving toward a massively distributed infrastructure with millions of controllable nodes. Its future operational landscape will be markedly different from existing operations, in which power generation is concentrated at a few large fossil-fuel power plants, use of renewable generation and storage is relatively rare, and loads typically operate in open-loop fashion. This chapter provides an overview of the technical developments that aim to leverage advances in optimization and control to develop distributed control frameworks for next-generation power systems that ensure stability, preserve reliability, and meet economic objectives and customer preferences.