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The controller is designed to satisfy minimum gain and phase margins, tracking specifications for robust performance, fast convergence, input disturbance rejection and sensor noise attenuation.
The prefilter is designed to achieve tracking specifications.
First, the IP position controller is designed according to the estimated plant model to match the time-domain command tracking specifications.
It is demonstrated that the proposed 2-SMC system improves the performance of the closed-loop system with better tracking specifications in the case of external disturbances, better behavior of the output and faster convergence of the sliding surface while maintaining the stability.
To this end, a PI+CI compensator has been designed by using a two step method: firstly, a robust base PI compensator is tuned by using the Quantitative Feedback Theory to satisfy (robust) relative stability and tracking specifications; and secondly, a partial reset action is added to the base lineal PI compensator to improve transitory response.
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In addition to the traditional asymptotic zero error tracking specification in the sliding mode decentralized model reference adaptive control (MRAC) problem formulation, here an additional requirement is specified explicitly in the problem statement.
A MRAC problem formulation in addition to the traditional asymptotic zero error tracking specification makes the problem statement contain an additional explicit requirement, namely the tracking objective is described by a set of admissible reference trajectories which is called a performance tube.
In this paper, to maintain robust performance requirement, tracking performance specification, and disturbance attenuation requirement, the design of a robust force controller for the new hybrid actuator using quantitative feedback theory (QFT) is presented.
In the TSI-CR a stringent track specification is defined to keep the track noise contribution low and to promote reproducibility between test sites.
To achieve stringent tracking performance specifications, fast adaptation is required in the MRAC framework.
The optimization of the two prefilter parameters is founded on the plant output error integral minimization, considering the actuators physical constraints and the tracking performance specifications.
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CEO of Professional Science Editing for Scientists @ prosciediting.com