Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

In order to improve the accuracy of steering control for corn combine harvesters, a proportional integral derivative (PID) algorithm based fully hydraulic steering control method for corn combine harvesters is proposed. Firstly, by analysing the steering process, a steering dynamics model is constructed. Secondly, clarify the relevant variables and parameters, and derive the calculation formula for the electro-hydraulic steering control model. Again, the PID algorithm was used to design the steering controller, calculate the angular velocity deviation value, and design proportional, integral, and derivative control functions. Finally, by transforming the transfer function through Laplace transform, optimising the parameters of the PID controller, and considering practical factors such as delay for correction, the optimisation of the electronic control full hydraulic steering control was ultimately achieved. The experimental results show that the steering control accuracy of the proposed method is always above 90%, with low steering angle control error and good stability.

This research examines the impact of magnetic materials on wireless power transfer (WPT) systems for electric vehicles (EVs), focusing on 3D coil and coupler design using Ansys Maxwell. It explores how material choice influences WPT performance and reliability, analyzing parameters like coupling (k), mutual (M), and self-inductance (L) alongside magnetic flux density (B), field strength (H), energy, and thermal effects across air gaps (40-200 mm). Matlab verifies output voltage, current, power, and power transfer efficiency (PTE). Results show that ferrite achieves a peak PTE of 94.3% at an 80 mm gap, with a 30.4 kg weight and 400 × 400 × 20 mm dimensions, while alloy steel yields 73.9% PTE at 50.67 kg. The study aids in selecting materials to optimize PTE, reduce losses, ensure safety, and improve reliability, advancing WPT technology for efficient EV charging infrastructure.

The incongruity between the low coefficient of adhesion and the high wheel load at the potholes of rugged ramps reduces the passability of the corner module vehicle (CMV). To address this problem, this paper proposes a collaborative control method of longitudinal and vertical dynamics with the target of optimal utilisation of the vehicle's overall attachment ellipse. Firstly, this research analyses the coupling relationship between wheel load and adhesion, combines it with the dynamic identification of the adhesion coefficient of each wheel, and proposes an active suspension control strategy that realises the optimal matching of wheel load and adhesion coefficient. Furthermore, this paper proposes a drive torque distribution strategy that integrates dynamics and driving stability in conjunction with ellipse boundary identification. The simulation results show that the proposed strategy can dynamically coordinate vertical load and torque distribution. Furthermore, the maximum climbing speed is increased by 8.1% over the simple control approach.