A new predictive control strategy for active power filters

Harmonic elimination of electric arc furnaces by active power filters and their stability analysis

“…Several strategies for control of APF are discussed in previous works (Choe and Park, 1988; Akagi, 1997; Torrey and Al_Zamel, 1995). Ghoudjehbaklou and Kargar (1999) proposed a method based on dynamic programming. According to this method, the states of switches of APF change such that the output current of APF in the subsequent time period becomes equal to a predetermined reference current.…”

“…According to this method, the states of switches of APF change such that the output current of APF in the subsequent time period becomes equal to a predetermined reference current. Advantages of this control strategy over others are discussed in Ghoudjehbaklou and Kargar (1999).…”

A Review of Multilevel Inverter Based Active Power Filter

“…In [60] a control strategy based on dynamic programming control is presented in which the reference current of the APF for specified future time period is predicted. A. M. Massoud et al [61] have used the measured supply currents and voltages of common coupling point to predict the reference output voltage of the inverter, required to make the measured current reach its reference at the next sampling instant.…”

RBF neural network based predictive control of active power filter

“…Research has shown that conventional APF control methods such as hysteresis control, PI control are unable to perform optimally over the full range of operation conditions and disturbances, due to the highly complex, non-linear nature of controlled systems [1], [2], [3]. In order to overcome this difficulty, non-linear predictive control [4] has been applied and is shown to improve the overall performance of APF in response time and accuracy. However, this control strategy necessitates that the mathematical model of the control system should be exactly known which is not the case in most situation.…”