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A new method is introduced for evaluation and comparison of controller accuracy in terms of impedance error.
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The problems of the robust digital controller design and control accuracy analysis are discussed.
The operating results show that the controller has higher control accuracy and better stability.
The modeling errors are attenuated by a well-designed robust controller with a control accuracy measured by a design parameter.
Simulation and experimental results demonstrate that the proposed controller can achieve higher control accuracy and stronger robustness.
It has led to the development of "control-oriented identification design", the paradigm being that, since the model is only a tool for the design of a controller, its accuracy (or its error distribution) must be tuned towards the control design objective.
Furthermore, even though controllers seek accuracy and facts, that does not necessarily mean they will make intelligent, rational decisions.
The comparison with a gap controller highlights the accuracy in the control capability of the spline controller and its completeness, in the sense that the control of the spline curve implies (but is not implied by) the control of the gaps.
Moreover, the proposed controller has high accuracy and minimizes the steady state oscillation errors around the target MPP.
Existing measurement techniques lack a multi-objective network measurement mechanism to overcome various overheads, like communication cost, controller computation, and accuracy in a real-time environment.
It is shown by theory and verified in experiments that the force-command controller has higher accuracy for varying desired impedances.
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CEO of Professional Science Editing for Scientists @ prosciediting.com