Design Optimization of Steering Mechanisms for Articulated Off-Road Vehicles Based on Genetic Algorithms

Zhou, Chen; Liu, Xinhui; Xu, Feixiang

doi:10.3390/a11020022

Cited by 5 publications

(1 citation statement)

References 15 publications

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“…There are various optimization algorithms available in the literature. Gradient descent [15,16], genetic algorithms [17][18][19], RMSProp [20], and many other optimization algorithms have been used to improve the efficiency and accuracy of solving complex problems. In the published literature, different evolutionary optimization methods have been used to design inverters with optimal switching characteristics.…”

Section: Introductionmentioning

confidence: 99%

A Mayfly-Based Approach for CMOS Inverter Design with Symmetrical Switching

2023

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This paper presents a novel approach to designing a CMOS inverter using the Mayfly Optimization Algorithm (MA). The MA is utilized in this paper to obtain symmetrical switching of the inverter, which is crucial in many digital electronic circuits. The MA method is found to have a fast convergence rate compared to other optimization methods, such as the Symbiotic Organisms Search (SOS), Particle Swarm Optimization (PSO), and Differential Evolution (DE). A total of eight different sets of design parameters and criteria were analyzed in Case I, and the results confirmed compatibility between the MA and Spice techniques. The maximum discrepancy in fall time across all design sets was found to be 2.075711 ns. In Case II, the objective was to create a symmetrical inverter with identical fall and rise times. The difference in fall and rise times was minimized based on Spice simulations, with the maximum difference measuring 0.9784731 ns. In Case III, the CMOS inverter was designed to achieve symmetrical fall and rise times as well as propagation delays. The Spice simulation results demonstrated that symmetry had been successfully achieved, with the minimum difference measuring 0.312893 ns and the maximum difference measuring 1.076540 ns. These Spice simulation results are consistent with the MA results. The results conclude that the MA is a reliable and simple optimization technique and can be used in similar electronic topologies.

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Section: Introductionmentioning

confidence: 99%

A Mayfly-Based Approach for CMOS Inverter Design with Symmetrical Switching

2023

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Determination of Steering Actuator Mounting Points of a Load Haul Dump Machine for Optimum Performance

Rowduru

Kumar

Singh

2021

Lecture Notes in Mechanical Engineering

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Articulated steering system of a load haul dump (LHD) machine is made possible with the help of one/two hydraulic cylinders mounted between the two body sections. The present article investigates the variables affecting the steering performance like maximum possible steering angle (MPSA) and minimum steering force at articulated joint. In this respect, the geometrical approach is adopted to study the steering system of the LHD machine, and how the actuator mounting points influence the steering performance. Based on the study, MATLAB® code has been developed for finding the optimum mounting points of the steering actuators for MPSA. 3D model of the LHD machine is developed based on the optimum points obtained from the MATLAB ® program. The force analysis of the 3D model is carried out in ADAMS environment. Based on the results, it is found that the steering cylinders with inward type offer MPSA and minimum steering force. Also, the optimization technique illustrates that the maximum steering angle may be achieved up to 58°, which leads to angle increase by 28% of the existing LHD machine.

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