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Mohamad Amir Shamsudin

Researcher at Universiti Teknologi Malaysia

Publications -  12
Citations -  139

Mohamad Amir Shamsudin is an academic researcher from Universiti Teknologi Malaysia. The author has contributed to research in topics: Inverted pendulum & PID controller. The author has an hindex of 4, co-authored 12 publications receiving 102 citations.

Papers
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Journal ArticleDOI

Model reference command shaping for vibration control of multimode flexible systems with application to a double-pendulum overhead crane

TL;DR: The proposed Model Reference Command Shaping (MRCS) approach is designed based on a reference model and avoids the need for measurement or estimation of several modes of frequency and damping ratio as in the case of other input shaping and command shaping approaches.
Journal ArticleDOI

Efficient control of a nonlinear double-pendulum overhead crane with sensorless payload motion using an improved PSO-tuned PID controller:

TL;DR: This paper proposes an efficient proportional–integral–derivative (PID) control of a highly nonlinear double-pendulum overhead crane without the need for a payload motion feedback signal and shows that the proposed controller is superior with a better trolley position response, and lower hook and payload oscillations as compared to the previously developed PSO-tuned PID controller.
Proceedings Article

Integration of RFID technology into reconfigurable aperture coupled patch array (RACPA) antenna system

TL;DR: In this paper, discussion and analyze approaches relying on the received signal strength indicator (RSSI) had been done intensively, and the combination between these two technologies in producing a new method of RMA had proven successfully.
Journal ArticleDOI

Velocity control of a two-wheeled inverted pendulum mobile robot: a fuzzy model-based approach

TL;DR: This paper presents the design of a fuzzy tracking controller for balancing and velocity control of a Two-Wheeled Inverted Pendulum (TWIP) mobile robot based on its Takagi-Sugino (T-S) fuzzy model, fuzzy Lyapunov function and non-parallel distributed compensation (non-PDC) control law.
Proceedings ArticleDOI

An adaptive control of two wheel inverted pendulum robot based on particle swarm optimization

TL;DR: Simulation result shows the effectiveness of the proposed approach in enabling online PSO tuning scheme of TWIP and shows the importance of integral absolute error mesh in ensuring stable and optimal region where TWIP operates.