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Dynamic Optimization of a Steerable Screw In-pipe Inspection Robot Using HJB and Turbine Installation

Published online by Cambridge University Press:  16 January 2020

H. Tourajizadeh Open the ORCID record for H. Tourajizadeh [Opens in a new window] ,
V. Boomeri Open the ORCID record for V. Boomeri [Opens in a new window] ,
M. Rezaei  and
A. Sedigh
H. Tourajizadeh*
Affiliation:
Mechanical Engineering Department, Faculty of Engineering, Kharazmi University, Tehran, Iran
V. Boomeri
Affiliation:
Mechanical Engineering Department, Faculty of Engineering, Kharazmi University, Tehran, Iran
M. Rezaei
Affiliation:
Mechanical Engineering Department, Faculty of Engineering, Kharazmi University, Tehran, Iran
A. Sedigh
Affiliation:
Mechanical Engineering Department, Faculty of Engineering, Kharazmi University, Tehran, Iran
*
*Corresponding author. E-mail: Tourajizadeh@khu.ac.ir
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Summary

In this paper, two strategies are proposed to optimize the energy consumption of a new screw in-pipe inspection robot which is steerable. In the first method, optimization is performed using the optimal path planning and implementing the Hamilton–Jacobi–Bellman (HJB) method. Since the number of actuators is more than the number of degrees of freedom of the system for the proposed steerable case, it is possible to minimize the energy consumption by the aid of the dynamics of the system. In the second method, the mechanics of the robot is modified by installing some turbine blades through which the drag force of the pipeline fluid can be employed to decrease the required propulsion force of the robot. It is shown that using both of the mentioned improvements, that is, using HJB formulation for the steerable robot and installing the turbine blades can significantly save power and energy. However, it will be shown that for the latter case this improvement is extremely dependent on the alignment of the fluid stream direction with respect to the direction of the robot velocity, while this optimization is independent of this case for the former strategy. On the other hand, the path planning dictates a special pattern of speed functionality while for the robot equipped by blades, saving the energy is possible for any desired input path. The correctness of the modeling is verified by comparing the results of MATLAB and ADAMS, while the efficiency of the proposed optimization algorithms is checked by the aid of some analytic and comparative simulations.

Keywords

In-pipe inspection robotOptimal controlEnergy harvestingOptimal modeling
Type
Articles
Information
Robotica , Volume 38 , Issue 11 , November 2020 , pp. 2001 - 2022
Copyright
Copyright © Cambridge University Press 2020

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