Point-to-point iterative learning control with optimal tracking time allocation

Chen, Yiyang, Chu, Bing and Freeman, Christopher (2018) Point-to-point iterative learning control with optimal tracking time allocation. IEEE Transactions on Control Systems Technology, 26 (5), 1685-1698, [8013126]. (doi:10.1109/TCST.2017.2735358).

Record type: Article

Abstract

Iterative learning control is a high performance tracking control design method for systems operating in a repetitive manner. This paper proposes a novel design methodology that extends the recently developed point-to-point iterative learning control framework to allow automatic via-point time allocation within a given point-to-point tracking task, leading to significant performance improvements, e.g. energy reduction. The problem is formulated into an optimization framework with via-point temporal constraints and a reference tracking requirement, for which a two stage design approach is developed. This yields an algorithmic solution which minimizes input energy based on norm optimal iterative learning control and gradient minimization. The algorithm is further expanded to incorporate system constraints into the design, prior to experimental validation on a gantry robot test platform to confirm its feasibility in practical applications.

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Point-to-Point Iterative Learning Control with - Accepted Manuscript

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