Research Article
Modelling, Simulation and Implementation of Temperature-Influenced Inverter Performance
Issue:
Volume 14, Issue 2, June 2026
Pages:
29-36
Received:
4 May 2026
Accepted:
25 May 2026
Published:
20 September 2026
Abstract: Power electronic inverters are widely used in electric vehicles, renewable energy systems, industrial automation, and smart power applications due to their high efficiency and fast switching capabilities. However, the performance and reliability of these inverters are significantly affected by temperature variations, especially within semiconductor switching devices such as insulated-gate bipolar transistors (IGBTs). Excessive operating temperature can lead to increased power losses, reduced efficiency, accelerated component degradation, and eventual system failure. Therefore, accurate thermal modelling and effective temperature management are essential for improving inverter performance and operational lifespan.This research focuses on the modelling, simulation, and implementation of a temperature-influenced inverter performance framework aimed at enhancing the thermal reliability and efficiency of inverter systems. The study employs a multi-domain electro-thermal modelling approach that combines analytical power loss calculations, zero-dimensional (0D) thermal network modelling, and finite element analysis (FEA) to evaluate the thermal behavior of inverter components under varying operating conditions. A high-fidelity Digital Twin model is also developed to enable real-time thermal monitoring and predictive analysis of inverter performance.To validate the proposed framework, practical hardware implementation and experimental measurements were carried out, and the obtained results were compared with simulation outputs. The results showed close agreement between simulated and experimental data with minimal deviation, confirming the accuracy and effectiveness of the developed models. The study further demonstrates that proactive thermal management significantly improves inverter efficiency, reduces thermal stress on semiconductor devices, and enhances system reliability. The proposed methodology therefore provides an effective solution for the design and optimization of next-generation temperature-aware intelligent inverter systems.
Abstract: Power electronic inverters are widely used in electric vehicles, renewable energy systems, industrial automation, and smart power applications due to their high efficiency and fast switching capabilities. However, the performance and reliability of these inverters are significantly affected by temperature variations, especially within semiconductor...
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Research Article
Design and Stability Analysis of an Aerosonde UAV Using Linear Quadratic Regulator Control
Issue:
Volume 14, Issue 2, June 2026
Pages:
37-49
Received:
20 August 2026
Accepted:
2 September 2026
Published:
20 September 2026
Abstract: Unmanned Aerial Vehicles (UAVs) have become increasingly important in surveillance, environmental monitoring, mapping, and scientific research, where flight stability and control performance are essential for safe and reliable operation. This study focuses on the modeling and stability analysis of an Aerosonde UAV using a Linear Quadratic Regulator (LQR) control approach. The main objective is to develop an optimal state-feedback controller capable of improving the stability and dynamic response of the UAV. A mathematical model of the Aerosonde UAV is established using longitudinal and lateral-directional flight dynamics and represented in state-space form. The LQR controller is designed by minimizing a quadratic performance index that balances state regulation and control effort through appropriate weighting matrices. The resulting feedback gains are applied to the longitudinal and lateral dynamic models, and numerical simulations are performed to compare the uncontrolled and LQR-controlled responses. The simulation results show that the LQR controller significantly improves the dynamic behavior of the UAV by reducing oscillations, decreasing overshoot, and accelerating convergence toward the equilibrium conditions. In the longitudinal dynamics, the controlled responses of velocity, vertical motion, pitch rate, altitude, and pitch angle exhibit improved stability compared with the uncontrolled system. Similarly, the lateral-directional responses demonstrate improved damping and faster convergence for lateral velocity, roll rate, yaw rate, roll angle, and yaw angle. These results confirm that the proposed LQR approach provides an effective state-feedback control strategy for improving the stability and dynamic performance of the Aerosonde UAV. The study provides a foundation for future investigations involving robust, adaptive, or intelligent control techniques under external disturbances and model uncertainties.
Abstract: Unmanned Aerial Vehicles (UAVs) have become increasingly important in surveillance, environmental monitoring, mapping, and scientific research, where flight stability and control performance are essential for safe and reliable operation. This study focuses on the modeling and stability analysis of an Aerosonde UAV using a Linear Quadratic Regulator...
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,
Diarah Reuben Samuel*
