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Ahmad Bala Alhassan
Researcher at Xi'an Jiaotong University
Publications - 26
Citations - 214
Ahmad Bala Alhassan is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Robot & Computer science. The author has an hindex of 5, co-authored 20 publications receiving 93 citations. Previous affiliations of Ahmad Bala Alhassan include Universiti Teknologi Malaysia.
Papers
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Journal ArticleDOI
Power transmission line inspection robots: A review, trends and challenges for future research
TL;DR: Challenges such as limited on-board battery capacity, unreliable line fault detection, electromagnetic shielding, de-icing mechanism and advanced control techniques for external wind disturbance would be a promising future research direction for researchers in the field of robotic PTL inspection.
Proceedings ArticleDOI
LQR, double-PID and pole placement stabilization and tracking control of single link inverted pendulum
TL;DR: The dynamic behaviour of a nonlinear single link inverted pendulum-on-cart system based on Lagrange Equation is presented and LQR, double-PID and simple pole placement control techniques were proposed for upright stabilization and tracking controls of the system.
Journal ArticleDOI
Investigation of Aerodynamic Stability of a Lightweight Dual-Arm Power Transmission Line Inspection Robot under the Influence of Wind
TL;DR: A lightweight dual-arm robot is developed and its robustness to wind disturbance on a lab-scale power line structure is investigated, demonstrating that there is little influence of the wind on the system; hence, the robot has been successfully designed and can be applied for power line inspection.
Journal ArticleDOI
Input shaping techniques for sway control of a rotary crane system
Ahmad Bala Alhassan,Zaharuddin Mohamed,Auwalu M. Abdullahi,Amir A. Bature,A. Haruna,Nura Musa Tahir +5 more
TL;DR: Simulation and real time experimental results have shown that ZVDDD with an average sway reduction of 88% has the highest level of sway reduction and robustness to modeling errors as compared to 85%, 80% and 65% for ZVDD, ZVD and ZV respectively.
Proceedings ArticleDOI
Optimal analysis and control of 2D nonlinear gantry crane system
TL;DR: In this paper, a non-linear and linear model of a gantry crane system based on the system parameters was derived using Lagrange equation followed by linearization using Taylor's series approximation MATLAB simulation results confirmed that the trolley displacement and payload oscillation are dependent on system parameters; cable length, payload mass and trolley mass.