Abstract
In this paper, an implementation of Robust Evolving Cloud Based Controller (RECCo) controller for nonlinear system is presented. The proposed controller controls the system automatically in online even the process dynamics changes and adapts the system to follow the desired trajectory. RECCo controller is a type of adaptive controller which doesn't need rational knowledge of the control action. The RECCo algorithm is based on rule base. The antecedent part contains the process data that piles up and constitutes the data clouds. In the consequent part, the control action is taken in such a way that the process output follows the desired trajectory. The Proportional, Integral and Derivative (PID) type control is used in the consequent part. This approach has been executed autogenously. The performance of the RECCo controller was evaluated with tank systems through simulation and the performance indices were compared with conventional PID controller tuning methods.
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