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Considering the rationale of cascade control, the secondary controller is designed for faster disturbance attenuation.
Based on the rationale behind cascade control, the secondary controller is designed based on disturbance rejection to quickly attenuate disturbances.
For online path tracking, the nominal, feedforward trajectories are combined with feedback in a control architecture with a secondary controller, such that robustness to uncertainties in model or environment is achieved.
In order to reduce the traffic load and to avoid a single point of failure at the controller node, we distribute the controllers role by introducing three levels of control: Principal Controller (PC), Secondary Controller (SC), the Local Controller (LC).
The secondary controller is designed using the internal model control (IMC) method.
In this paper, a hybrid algorithm is developed by incorporating the egg-laying and immigration mechanisms of cuckoo optimization algorithm (COA) into harmony search (HS) algorithm (HSCOA), to design a secondary controller for two practical models of load frequency control (LFC) problem.
Similar(41)
Fractional order fuzzy PD (FOFPD) and fractional order fuzzy PI FOFPII) nonlinear controllers are developed and used as primary and secondary controllers, respectively in the cascade control loop.
This study presents a novel closed-loop tuning method for cascade control systems, in which both primary and secondary controllers are tuned simultaneously by directly using set-point step-response data without resorting to process models.
This study presents a novel automatic tuning method for cascade control systems in which both primary and secondary controllers are tuned simultaneously using a single closed-loop step test.
The secondary controllers are designed according to Γ to provide indirect feedforward actions.
The proposed method, however, adopts fuzzy logic instead of primary and secondary controllers.
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