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In this paper, the design and development of fuzzy scheduled robustness, tracking, disturbance rejection and overall aggressiveness (RTDA) controller design for non-linear processes are discussed.
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These troublesome jobs present a risk to the manufacturing process and to the schedule robustness.
To that aim, we introduce the concept of schedule robustness and we develop a bi-objective resource-constrained project scheduling model.
A measure of schedule robustness based on qualitative possibility theory is proposed to guide the search process to determine the robust schedule; i.e., the schedule with the best worst-case performance.
The proposed approach is based on a design procedure consisting in casting gain-scheduling and robustness requirements into the framework of structured H∞ design.
Thus, the improved accuracy in RT prediction increased overall analytical robustness and allowed for the use of a shortened RT window in the scheduled MRM analysis.
To overcome the aforementioned deficiency, a gain scheduled H∞ YSC controller is developed in this paper, taking the vehicle mass and moment of inertial as the scheduled variables, now that the gain scheduled H∞ controller can guarantee both the robustness against parameter perturbation and the adjustability of tracking accuracy.
Scheduled Caste/ Scheduled Tribes.
Simulation results show that the N-PI controller can provide better dynamic performances of power regulation, load stress reduction and actuator usage, comparing with the conventional PI and gain-scheduled PI controller, and better robustness against of model uncertainties than feedback linearization control.
Further, a gain-scheduling approach and a robustness enhancement are introduced, leading to a robust gain-scheduling observer.
It is found that the reliability and robustness of schedule implementation is significantly improved after optimisation.
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