Sheikh Izzal Azid

This research improves the output of the integrating processes. The technique regulates a double-integrating process with time delay and non-minimal phase while handling high parametric uncertainties and load disturbances. A Smith predictor (SP) architecture based on a fractional-order internal model controller is developed (FOSPIMC). The gain and phase margins are applied to tune the fractional-order parameter. The fractional filter time constant is calculated using the intended performance limitation. Numerical studies and comparisons reveal better performance with a hybrid structure.

This paper proposes a fuzzy logic-based control approach to manage the thermal and fluidic coupling of a Proton Exchange Membrane Fuel Cell (PEMFC) with a Metal Hydride Tank (MHT). The strategy is based on managing the operating temperature of the PEMFC and the hydrogen pressure in the tank. Two PEMFC power modes (static and dynamic) were used to study the performance of this type of control. The main components of the system under study, i.e. the FC, the MHT, and the heat redistribution circuit, were modeled in a Matlab/Simulink environment. The fuzzy logic control used for the proposed system demonstrated good performance under static operating conditions.

This paper proposes a novel sensorless control strategy for permanent magnet vernier machines (PMSMs) in high-power propulsion applications. Integrating fractional-order proportional-integral (PI) control with a fast terminal sliding mode observer (FTSMO), the approach enhances wide-speed sensorless control. The fractional-order PI controller mitigates torque ripples, while the FTSMO eliminates the need for a phase-locked loop (PLL), reducing computational load and design complexities. An adaptation law facilitates direct speed estimation, and a unique terminal sliding surface improves reaching phase dynamics, enhancing convergence rates and estimation precision. Validated through MATLAB simulations on a 5 MW high propulsion PMSM, the proposed method demonstrates effective sensorless control, emphasizing its potential for high-power propulsion application.

The article introduces the design of an online disturbance compensator based on machine learning for quadrotor aircraft. The article presents the state-space models for the quadrotor, which encompass wind disturbances. The machine learning algorithm estimates unmeasurable states, which are linear and angular velocities, and constructs the unknown disturbances. These disturbances are then fed to the controller to compensate for disturbance and deviation in trajectory by varying the rotor speeds of the quadrotor aircraft. To present the simplicity of the proposed system, a simple PD controller is employed to manage the nonlinear modelled quadrotor. For the online training and validation purposes, the Parrot Mambo drone is utilized. The results are provided to demonstrate the effectiveness and advantages of the proposed controller.

This paper investigates the design and heat transfer optimization of a finned multi-tubular metal hydride tank for hydrogen storage. Metal hydrides are promising candidates for hydrogen storage due to their high volumetric capacity and safety, but their low thermal conductivity poses challenges in heat management during hydrogen absorption and desorption. The study explores the integration of finned tubes into the tank design to enhance heat transfer. Numerical modeling of a cylindrical tank with radial symmetry and multiple finned tubes was conducted, focusing on heat flux improvements and overall system performance. The results demonstrate that incorporating fins significantly increases the heat transfer surface area, improving thermal conductivity, absorption, and desorption kinetics. This leads to faster and more efficient hydrogen storage, reducing the time for charging and discharging processes. The findings highlight the potential of finned designs in advancing hydrogen storage technologies by addressing key thermal management challenges.

The chapter focuses on the experimentation setup and implementation of the fractional controller on the nonlinear quadrotor aircraft. Firstly, the mathematical model of a quadrotor is derived, which is more suitable for acrobatic manoeuvring. In order to handle such an unstable system, a fraction PI (PIλ
) was designed and implemented for x, y, z and yaw movements of the quadrotor aircraft. Detailed simulation results are presented to test the controller. Moreover, the information is provided on configuring hardware for real-time experimentation. A method is verified using the designed controller on the quadrotor in MATLAB Simulink and parrot rolling spider minidrone. Finally, the hardware results are analysed and present interesting applications of fractional-order control.