Multibody Dynamics Sliding Pendulum – Simulink Simulation

Project Objective

This project aims to model a sliding pendulum in Simulink or Simscape Multibody and analyse cart displacement, pendulum angle, constraint forces and transient response. It is suitable for engineering scholars and PhD researchers who need a clear model explanation, simulation workflow and thesis-ready result discussion.

System Architecture

The implementation can be organized as a modular research model with plant, controller, measurement and result-visualization blocks. This page is structured for literature extension, methodology writing and reproducible simulation reporting.

• cart or slider body connected to a pendulum link
• revolute and prismatic joint definitions with gravity
• input force or initial-angle excitation model
• measurement blocks for displacement, angular motion and energy response

Research Methodology

The recommended methodology begins with base-case modelling, parameter selection and initial validation. The next step is to introduce the control, energy-management, protection or fault-diagnosis algorithm and evaluate the system under carefully selected operating conditions. The final report should compare baseline and improved responses using measurable indicators.

Recommended Simulation Cases

• free oscillation from initial pendulum angle
• cart force input and coupled pendulum response
• damping sensitivity and settling behaviour
• linearised versus nonlinear motion interpretation

Expected Output Graphs

• slider position and pendulum angle response plots
• phase trajectory and energy variation curves
• joint force or constraint reaction trends
• mechanical thesis discussion with model assumptions

Result Interpretation for Thesis Writing

A strong result chapter should explain why each waveform changes, how the proposed controller or model improves response, whether transient behaviour remains stable, and which limitation can be extended as future work. This helps the page support indexing for project implementation, PhD thesis writing help and engineering simulation assistance across AU, UK, Canada and UAE.

Research Extension Points

• Add an adaptive, fuzzy, ANN, optimization or observer-based control layer where applicable.
• Include fault, disturbance, parameter-sensitivity and comparative benchmark cases.
• Prepare tables for performance metrics such as settling time, overshoot, THD, SOC usage, RoCoF, accuracy or transient recovery.
• Extend the model into a journal-style novelty by comparing base and proposed methods.

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