Abstract
Energy conservation in electric vehicles has a very important role in its long-range operation as well as enhancing driving performance. Electric power-assist steering (EPAS) system particularly plays a significant role in decreasing current consumption while performing its operation. This paper proposes a 2-degree of freedom proportional, integral, derivative (2-DOF PID) controller, tuned for the best optimal parameter value settings using gray wolf optimization (GWO) and salp swarm algorithm (SSA), for the EPAS system. The simulation results establish that with the proposed approach, less amount of current is required for steering operation by the driver to manually tuned 2-DOF PID controller. The proposed approach thus demonstrates the feasibility and effectiveness of applying GWO as well as SSA optimization techniques for optimal tuning of the 2-DOF controller resulting in improved performance of the EPAS system.
Published Version
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