Optimization-Driven Controller Design for a High-Performance Electro-Hydrostatic Asymmetric Actuator Operating in All Quadrants
Abstract This paper presents an optimization-driven controller design for smooth and accurate position control of a newly developed single-rod electro-hydrostatic actuator (EHA). The design approach uses logically guided iterative runs of the EHA to determine the optimal gain and poles' locations of a simple, yet effective low-bandwidth controller. The optimization algorithm used in the paper is the globalized bounded Nelder-Mead algorithm with deterministic restarts for improved globalization and lower numerical cost. The design also incorporates a pre-filter to ensure minimum jerk in the system's step input response in the beginning and while approaching steady-state. The step response of the filter is a 7th-degree polynomial curve that ensures the minimum change in acceleration. Experimental results reveal that the addition of the proposed pre-filter reduces jerk in the system by up to 90%. Results also indicate that the controller performs very well in all quadrants with external load uncertainty of up to 367 kg and thus proves the effectiveness of the design approach.