Abstract:This study proposes the design and development of an in-pipe mini crawler (or robot) capable of performing its various tasks with the ability to reject undesired disturbances resulting from friction and viscosity, as it was modeled, simulated, and experimented using an iterative learning algorithm (ILA)-based active force control (AFC) strategy. The crawler motion was executed based on a rapid and successive pushpull action plus friction that causes the crawler to move in an earthworm-like manner using a linea… Show more
“…Linear EMAs (LEMAs) can generate thrust directly on the end effector, which has better dynamic performance and higher reliability. According to different moving parts, EMAs can be divided into moving magnet actuators (MMAs) [9,10], voice coil actuators (VCAs) [11] and electromagnets [12].…”
In order to predict and evaluate the response time and displacement of a large-stroke, high-speed micro-LSPEA under different currents and springs, numerical and analytical methods are used to obtain the dynamic and steady-state performance indicators of the nonlinear system. Firstly, the analytic functions of the electromagnetic force and the magnetic field distribution were presented. The nonlinear vibration equation was obtained by dynamic modeling. The averaging method and the KBM method were employed to obtain analytical solutions of the undamped system. The equivalent linearization of the damped nonlinear system was performed to obtain the approximate analytical solutions of performance indicators. Finally, the displacement of the actuator equipped with different springs was measured experimentally. Meanwhile, the transient network was constructed by Simulink software to solve the nonlinear equation numerically. The displacement curves and performance indicators obtained by experiment, numerical and analytical methods are compared. The maximum errors of the peak time, overshoot and steady displacement through experiment and simulation are 8.4 ms, 4.36% and 0.59 mm, respectively. The solution result of the vibration equation considering stiffness nonlinearity can reflect the dynamic and steady-state performance of the LSPEA within a certain error, which is helpful for the solution of nonlinear systems caused by multi-physics coupling.
“…Linear EMAs (LEMAs) can generate thrust directly on the end effector, which has better dynamic performance and higher reliability. According to different moving parts, EMAs can be divided into moving magnet actuators (MMAs) [9,10], voice coil actuators (VCAs) [11] and electromagnets [12].…”
In order to predict and evaluate the response time and displacement of a large-stroke, high-speed micro-LSPEA under different currents and springs, numerical and analytical methods are used to obtain the dynamic and steady-state performance indicators of the nonlinear system. Firstly, the analytic functions of the electromagnetic force and the magnetic field distribution were presented. The nonlinear vibration equation was obtained by dynamic modeling. The averaging method and the KBM method were employed to obtain analytical solutions of the undamped system. The equivalent linearization of the damped nonlinear system was performed to obtain the approximate analytical solutions of performance indicators. Finally, the displacement of the actuator equipped with different springs was measured experimentally. Meanwhile, the transient network was constructed by Simulink software to solve the nonlinear equation numerically. The displacement curves and performance indicators obtained by experiment, numerical and analytical methods are compared. The maximum errors of the peak time, overshoot and steady displacement through experiment and simulation are 8.4 ms, 4.36% and 0.59 mm, respectively. The solution result of the vibration equation considering stiffness nonlinearity can reflect the dynamic and steady-state performance of the LSPEA within a certain error, which is helpful for the solution of nonlinear systems caused by multi-physics coupling.
“…The in-pipe robot system, according to existing moving modes and contact forms with pipe wall, can be classified into several classical forms, including pig type, [4][5][6] wheel type, [7][8][9][10] wall-press type, [11][12][13] walking type, 14,15 screw type, [16][17][18][19][20][21] inchworm type, [22][23][24][25] and swimming type. 26,27 The wall-press robots, suitable for walking in circular pipes, have three sets of wheels or legs circularly located 120°apart from each other.…”
This paper presents a novel double-direction inchworm in-pipe robot, called the Cam-Linkage Robot (CLR), used to carry sensors and instruments to perform inspection and cleaning jobs inside pipelines. The prototype has been developed to improve the driving ability and reduce the difficulty of control. CLR is suitable for pipe diameters from 360 mm to 400 mm due to its functions of manual adjustment and automatic adaptation. The structure of CLR was presented and some critical design issues on the principle of cam-linkage mechanism were discussed. Based on cam-linkage mechanism, CLR could press the wall actively and creep in two directions via only one motor, so this research has broken the limitation that traditional active wall-press robot needs more than one actuator. The cam pressure angle could be reduced to 0, and the propulsion ability was almost not weakened by the support motion at the stable support stage. Finally, experiments were conducted to validate the locomotion principle and the effectiveness of CLR.
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