Digital hydraulics is a potential technology for the Hydraulic Pitch System (HPS) in Wind Turbine (WT). Digital Hydraulics Pitch System (DHPS) uses Digital Flow Control Units (DFCU) to develop the precise pitching action. In this paper, a novel Intelligent Digital Pitch Controller (IDPC) is proposed. The proposed controller is designed and implemented on a developed lab-scale DHPS Hardware-in-the-Loop (HIL) simulator. The various parameters of DHPS-hardware were designed using the bottom-up design methodology. The IDPC comprises Machine Learning (ML)-based WECS and DHPS controllers in the outer and inner loop respectively. HIL simulations were conducted with the implemented IDPC. The ML-based WECS controller predicts the reference pitch angle close to its desired value. The ML-based DHPS controller predicts the states of DFCU to develop real-time pitching action in DHPS-hardware. Several case studies were conducted to validate the effectiveness of the proposed IDPC. A study shows that IDPC controlled DHPS exhibits better performance than an ML-Proportional Integral (PI) controlled HPS with proportional flow control valve. Subsequently, the performance of the IDPC is compared with PI-ML cascade controller. This study shows that the Maximum Absolute Error (MAE) between the generator speed and its rated speed is 0.87% and 19.29% for the proposed controller and PI-ML cascade controller, respectively. Similarly, MAE (error between generator torque and its rated torque) of torque is 0.85% and 5.46% for the proposed controller and PI-ML cascade controller, respectively. Thus, the implementation of the IDPC develops optimal power with minimal speed/torque fluctuations.

Coir fibre, derived from the husk of coconuts, is a natural resource and they are biodegradable and renewable. By incorporating them, any product can become more lightweight and durable, meeting the global desire for eco-friendly and efficient designs. This study has the potential to significantly alter the design of components such as switches and enclosures and it has an international research impact on engineering applications. Coir fibres and Hexagonal-Boron Nitride (h-BN) possess superior mechanical, thermal and physical qualities when reinforced with polymers. Hence novel study is carried out to examinecoir fibre/h-BN reinforcement in epoxy polymer composites. Response Surface Methodology via Box-Behnken Design (BBD) is utilized to investigate the mechanical properties such as Tensile Strength, Impact Strength and Young’s Modulus of coir fibre/h-BN reinforced epoxy polymer composite. The effect of input parameters onresponse is evaluated through regression equation and analysis of variance by using statistical Minitab software. The response optimization represents the maximum Young’s modulus (1597 MPa) by combining coir fibre (5 wt%), Coir fibre powder size (75 μm) and h-BN (1 wt%). The response optimization portrays the maximum Ultimate Tensile strength(36.83 MPa) by combining coir fibre (1 wt%), coir fibre powder size (220 μm) and h-BN (3.78 wt%). The response optimization reveals the maximum Impact strength (98.35 J m⁻²) by combining coir fibre (5 wt%), coir fibre powder size (225 μm) and h-BN(1 wt%). This work emphasises the use of composite materials that are environmental friendly in a variety of industries such as automotive, electrical, etc.

The availability of natural gas and crude oil resources has been declining over the years. In automobile sector, the consumption of crude oil is 63% of total crude oil production in the world. Hence, automobile industries are placing more emphasis on energy efficient hydraulic hybrid systems, which can replace their conventional transmission systems. Series hydraulic hybrid system (SHHS) is a multidomain mechatronics system with two distinct power sources that includes prime mover and hydropneumatic accumulator. It replaces the conventional transmission system to drive the vehicle. The sizing of the subsystems in SHHS plays a major role in improving the energy efficiency of the vehicle. In this paper, a power bond graph approach is used to model the dynamics of the SHHS. The obtained simulation results indicate the energy flow during various modes of operations. It also includes the dynamic response of hydropneumatic accumulator, prime mover, and system output speed. Further, design optimization of the system is carried out to optimize the process parameters for maximizing the system energy efficiency. This leads to increase in fuel economy and environmentally friendly vehicle.