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Proportional-integral-plus control of robotic excavator arm utilising state-dependent parameter model

Research output: Contribution to journalJournal article


<mark>Journal publication date</mark>2011
<mark>Journal</mark>Applied Mechanics and Materials
Number of pages5
Pages (from-to)1323-1327
<mark>Original language</mark>English


This paper is concerned with the design of a control system for a robotic excavator known as the Lancaster University Computerised and Intelligent Excavator (LUCIE). A nonlinear proportional-integral-plus (PIP) control algorithm is developed for regulating movement of excavator arm. The nonlinear dynamics of the hydraulic driven arm is represented using the quasi-linear state-dependent parameter (SDP) model, in which the parameters are functionally dependent on other variables in the system. The model is subsequently utilised to develop a new approach to control system design, based on nonlinear PIP pole assignment. Implementation results demonstrate improved tracking performance of excavator arm in comparison with both linear proportional-integral-derivative (PID) and conventional (linearised) fixed-gain PIP control.