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Due to complex mathematical equations used in these models, they are time-consuming and need large amount of memory to be applied for controller design, especially power electronic interface controller design, generation and load predictions, optimization and other studies.
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In order to achieve high reference tracking performance and meet stability specifications, the Sliding Mode Control (SMC) synthesis is applied for controller design.
The Nussbaum function is used to handle the unknown virtual control directions and the backstepping technique has been applied for controller design.
Leader-follower approach is applied for controllers design to drive the robots toward the goal.
Therefore, a two-time scale fuzzy logic controller will be applied for such system.
The presented approach is applied for robust controller design for an exothermic continuous-time stirred tank reactor (CSTR).
The method is applied for different controller parameters and delay bounds, and it is compared to a frequency-domain technique (Kao and Rantzer, 2007), showing reasonably non-conservative results.
The Linear Quadratic Regulator (LQR) theory is exploited for yaw moment controller and the sliding mode theory is applied for wheel slip controller design.
The FPGA based technology is applied for realisation of controller.
Then, both the conventional trial-and-error design method and the improved version of multi-objective, non-dominated sorting genetic algorithm (NSGA-II) are applied for the RPCS controller design.
The proposed controller is tested on a three-area multi-machine power system discussed in Section 2 in a simulated environment using MATLAB/Simulink ver.2009a with Ode4 solver and a sample time of 1 ms. The proposed controller is applied for Area-1 and PI controllers are used in the other two areas.
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