Modeling and nonlinear control of shunt active power filter in the synchronous reference frame
Dept. of Electr. Eng., Ecole de Technol. Superieure, Montreal, Que.
DOI: 10.1109/ICHQP.2000.896994 Conference: Harmonics and Quality of Power, 2000. Proceedings. Ninth International Conference on, Volume: 1
This paper presents a modeling and a nonlinear control of
three-phase voltage source shunt active filter. The modeling is based on
the abc/dq transformation of the AC system variables. The currents
injected by the active filter are controlled in the synchronous
orthogonal dq frame using a decoupled nonlinear control strategy. The
reference harmonic components are extracted from the sensed nonlinear
load currents by applying the synchronous reference frame method, where
a three-phase thyristor bridge rectifier with R-L load is taken as the
nonlinear load. The voltage level of the DC side is regulated using a
linearizing feedback control. The reference current needed to maintain a
regulated DC voltage is added to the current loop reference. The
transfer functions of the two loops are developed and synthesized to
obtain the desired stability and dynamic response. Simulation results
confirm the performances considered theoretically for the shunt active
Available from: Azura che soh
- "These strategies are systematically executed by the SAPFs controllers and each strategy requires a distinctive yet cohesive algorithm in achieving their respective objective. Various algorithms for harmonic components extraction have been demonstrated in previous works such as the instantaneous active and reactive power theory (p-q theory)    , the synchronous reference frame technique (d-q transformation)    and artificial neural network (ANN) "
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ABSTRACT: This paper presents an integration of dual intelligent algorithms: artificial neural network (ANN) based fundamental component extraction algorithm and fuzzy logic based DC-link voltage self-charging algorithm (fuzzy self-charging algorithm), in a three-phase three-wire shunt active power filter (SAPF). The ANN and fuzzy logic are trained using the modified Widrow-Hoff (W-H) weight updating algorithm and fuzzy rules respectively. The controller has utilized both algorithms for producing its reference signals and consequently mitigating distorted source currents, improving system power factor (PF) and regulating the DC-link voltage. A 10kHz pulse-width modulation (PWM) switching algorithm is employed to generate the switching signals and therefore the distorted source currents are reshaped to be sinusoidal source current with low total harmonic distortion (THD) value and in phase with source voltages. The effectiveness of the proposed dual intelligent algorithms is verified using Matlab/Simulink.
2013 IEEE Conference on Clean Energy and Technology (CEAT); 11/2013
Available from: S. Elangovan
- "Further, the proposed control law has a discontinuous component forcing the system's trajectory to the sliding surface and a continuous component namely the equivalent control which is valid on the sliding surface. The active filter performance is tested when compensating for nonlinear load current harmonics and unbalances. This paper also proposes a new simplified algorithm for the solution of the space vector PWM to the least degree by avoiding finding the solutions of the trigonometric functions, and is easy to implement practically. "
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ABSTRACT: A sliding mode approach is developed to control a three phase three wire voltage source inverter operating as a shunt active power filter. The novelty of the proposed approach is that the sliding mode switching functions are chosen in such a way that the multivariable coupled system is controlled as a whole. Hence, no need to divide the system model developed in the synchronous dasiadqpsila reference frame into two separate loops. Furthermore, the proposed control strategy allows a better stability and robustness over a wide range of operation. When sine PWM is used for generation of pulses for the switches, a variable switching nature is exhibited. The pulses for the active filter are fed by a Space Vector Modulation in order to have a constant switching of converter switches. But, the conventional space vector modulation, if implemented practically, needs a complicated algorithm which uses the trigonometric functions such as arctan, sine and cosine functions which in turn needs look up tables to store the pre-calculated trigonometric values. In this paper, a very simplified algorithm is proposed for generating Space vector modulated pulse for all six switches without the use of look up tables and only by sensing the voltages and currents of the voltage source inverter acting as shunt active filter. The simulation using PSIM software verifies the results very well.
Power Electronics, 2006. IICPE 2006. India International Conference on; 01/2007
Available from: M.C. Cavalcanti
- "The current obtained by the MPPT controller corresponds to the real power from the photovoltaic array and it is subtracted from the other current components. The system modeling and control are based on the development realized in  and equations (3), (4) and (5) in Fig. 2 "
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ABSTRACT: This paper introduces a comparative study of efficiency for topologies in photovoltaic energy conversion systems. In special, a study of losses is presented and the methodology is used to compare different topologies for grid connected photovoltaic systems in such a way that can be chosen the option of best efficiency. The systems are also tested with photovoltaic generation as well as current harmonic and reactive power compensation simultaneously. The system that uses only inverters presents increased efficiency when compared to the conventional system. The synchronous reference frame method is used to control the three-phase inverter for all topologies. The proposed design is used to test efficiency for different pulse-width-modulation techniques and different loads in an electric system and simulation results demonstrate the good performance of the proposed configuration
Power Electronics Specialists Conference, 2005. PESC '05. IEEE 36th; 02/2005
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