Improvement of power quality by using hybrid fuzzy controlled based IPQC at various load conditions

Tuning a Robust Performance of Adaptive Fuzzy-PI Driven DSTATCOM for Non-linear Process Applications

“…Moreover, DSTATCOM majorly consists of a three phase (VSC) voltage source converter based on intelligent control of semiconductor valves, with respect to source as a DC link capacitor. The reference current generation by the unit vector control strategy and this compensation device is interfaced at the point of common coupling (PCC) through interfaced filters [9].…”

“…Nevertheless, the output value of DC-link voltage regulates the pertaining results in the presence of the active current component (Im). The product of active component with a voltage of unit vector (Ua, Ub, Uc) templates produces the reference currents (Ia*, Ib*, Ic*) [9].…”

“…Implementation of Adaptive Fuzzy Logic Controller (AFLC) type control action may handling the optimal tuning of classical controller gain values for distributed conditioner by using mamdani type fuzzy inference system [14].The instantaneous vector values of three phase reference currents are generated with combination of unit vectorized values and optimal magnitude value as shown in Eqs. (8,9,10).…”

“…It can be express on the basis of error generation between the actual component as well as reference current component of the proposed intelligent based DSTATCOM. Implementation of this optimal control scheme is same as Fuzzy model, it provides a classical methodology for manipulating, implementing, representing a human heuristic knowledge for designing a control algorithm to the entire system is proposed in [9]. The proposed technique becomes very accurate and model free algorithm, essentially vigorous to system disturbances with the ease implementation.…”

“…The change in error and error values acts as input for this optimal intelligence system. Based on this input values attain seven multi variables such as; NS: Negative Small, NM: Negative Medium, NB: Negative Big, PS: Positive Small, PM: Positive Medium and PB: Positive Big, ZE: Zero Area as proposed in [9]. The near to optimal fuzzy rules for providing control variables can be referred as shown in Table 1, which makes the precise performance throughout the steady state and transient condition.…”