Full feedback data is mostly essential in control design. Measuring the links' variation of a flexible‐joint robot (FJR) is easy but not for its actuators. The measurement of states and workspace are also affected by noise and disturbance, respectively; hence, a state observer or a nonlinear estimator is very helpful to improve the control performance of a dynamic system. The state‐dependent Riccati equation (SDRE) is one of the most promising methods in the field of nonlinear optimal observers for estimating variables of multiple‐input–multiple‐output systems. Systematic procedure, simple structure, and incorporation of a wide range of systems (under an observability condition) are some of the advantages of the method. Therefore, the aim of this study is to compose the SDRE controller and estimator simultaneously to reduce the state error of the system in the presence of external disturbance and noise. The application of this method is shown for FJRs in the estimation of changes in motion behind the connection of the motor and link where there is no easy way to measure. The proposed composition of the SDRE controller and estimator was implemented on a 6R robot to examine the various aspects of FJR systems.
Optimal Control Applications and Methods – Wiley
Published: Jan 1, 2018
Keywords: ; ; ; ;
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