Fuzzy Clustering Learning Algorithm. Upload date : MD5 : db6bdc4cd9baaf2aa09fd SHA1 : 65d4fbcab7a1faac27f3f94c9df Downloads : File list. Upload date : MD5 : 8fdfff4fe SHA1 : ee7a72b0d1d11cfeea21c0fdc20c98e Downloads : File list. Upload date : MD5 : ca0e4f41c18db8ea91ecf68b SHA1 : 8cadace42f1afcbf Downloads : File list.
Upload date : MD5 : 5dfff0bfaa9abef8df80d3 SHA1 : c83ad45a6d4fe2db0ebbbdb Downloads : File list. Upload date : MD5 : fdea36df7b24fa94 SHA1 : 1f73aa15f1fa0d7dfbcd41aeada1 Downloads : File list. Upload date : MD5 : 81c43ebdceac8 SHA1 : 0abafe82fbad14aa0efc7eebbbde Downloads : File list. Upload date : MD5 : 07eee3ee40dee87adcd7 SHA1 : 6bbf61fc7e3e0df8e43aaaaf8b Downloads : Upload date : MD5 : 98a3a8cf4d1cb0cef9b91 SHA1 : aace09d5d4ef7ad1d5e12cffba Downloads : PC1 : Ubuntu PC2 : Ubuntu The peak value of the current main advantages of this are its easy implementation and its Imax so obtained, is multiplied by the unit sine vectors quick response to fast current transitions.
This consequently in phase with the respective source voltages to obtain the provides switching signals to trigger the IGBTs inside the reference compensating currents. These estimated reference inverter. This error current vectors in the stationary and the rotating reference signal decides the operation of the converter switches. In this frames. Consequently the synchronizing prob- The DC link capacitor voltage [11] is kept constant through- lems with the unbalanced and distorted conditions of the main out the operating range of the converter.
In this scheme, each voltages are also avoided. Thus with id — iq a large frequency phase of the converter is controlled independently. To increase operating limit can be achieved. This is accomplished essen- the current of a particular phase, the lower switch of the tially by the cut-off frequency of the voltage source inverter converter associated with that particular phase is turned on. After the load currents id and iq are obtained from the To decrease the current the upper switch of the respective park transformation, they are allowed to pass through a high converter phase is turned on.
With this the potential and the pass filter to eliminate the dc components in the nonlinear load feasibility of the PI controller [12] can be realized.
The filters used in the circuit are the Butterworth type and to reduce the influence of the high pass filter an alternative high pass filter AHPF can be used in the circuit. This can be V. Proposed Fuzzy Controller. Reference current extraction with id -iq method with Fuzzy controller. The actual capacitor voltage is compared with a set VI. The error signal is then processed through a Fig.
As the load tracking the reference current signal. It is also assumed that currents are independent of output variable of the fuzzy logic controller is presented by the the main voltages and that there is no ripple on the rectifier control Current Imax.
To convert these numerical variables into dc current. The active power filter performance is analyzed linguistic variables, the following seven fuzzy levels or sets under several different main voltage conditions. Based on Fig. The graphs shown in Fig. THD for id -iq method with PI controller. The results presented confirm the superior performance of the Fuzzy controller.
However, the performance of the shunt active filters with both controllers under sinusoidal conditions are the same. Generally speaking among all of the filters, the HPF gives the best filtering action under any voltage conditions. Initially the system performance is analyzed under bal- anced sinusoidal conditions, during which the PI and Fuzzy Fig. THD for id -iq method with Fuzzy controller. Even though both of the presented controllers are capable of compensating current harmonics in 3 phase 4-wire systems, it can be seen that the Fuzzy Logic controller has a better dynamic performance than the conventional PI controller.
PWM pattern generation based on carrier-less hysteresis current control is used for quick response. Additionally, in contrast to the different control strategies; the id -iq method is used for obtaining the reference currents in the system.
As a result, this technique avoids large number of synchronization problems. It can also be seen that the DC voltage regulation system is a stable and steady-state error free system. Thus with fuzzy logic and the id-iq approach, a novel shunt active filter can be developed. Peng, G. Ott Jr. Power Electron. Soares, P. To increase operating limit can be achieved. This is accomplished essen- the current of a particular phase, the lower switch of the tially by the cut-off frequency of the voltage source inverter converter associated with that particular phase is turned on.
After the load currents id and iq are obtained from the To decrease the current the upper switch of the respective park transformation, they are allowed to pass through a high converter phase is turned on. With this the potential and the pass filter to eliminate the dc components in the nonlinear load feasibility of the PI controller [12] can be realized. The filters used in the circuit are the Butterworth type and to reduce the influence of the high pass filter an alternative high pass filter AHPF can be used in the circuit.
This can be V. Proposed Fuzzy Controller. Reference current extraction with id -iq method with Fuzzy controller. The actual capacitor voltage is compared with a set VI.
The error signal is then processed through a Fig. As the load tracking the reference current signal. It is also assumed that currents are independent of output variable of the fuzzy logic controller is presented by the the main voltages and that there is no ripple on the rectifier control Current Imax. To convert these numerical variables into dc current. The active power filter performance is analyzed linguistic variables, the following seven fuzzy levels or sets under several different main voltage conditions.
Based on Fig. The graphs shown in Fig. THD for id -iq method with PI controller. The results presented confirm the superior performance of the Fuzzy controller.
However, the performance of the shunt active filters with both controllers under sinusoidal conditions are the same. Generally speaking among all of the filters, the HPF gives the best filtering action under any voltage conditions. Initially the system performance is analyzed under bal- anced sinusoidal conditions, during which the PI and Fuzzy Fig.
THD for id -iq method with Fuzzy controller. Even though both of the presented controllers are capable of compensating current harmonics in 3 phase 4-wire systems, it can be seen that the Fuzzy Logic controller has a better dynamic performance than the conventional PI controller. PWM pattern generation based on carrier-less hysteresis current control is used for quick response.
Additionally, in contrast to the different control strategies; the id -iq method is used for obtaining the reference currents in the system. As a result, this technique avoids large number of synchronization problems. It can also be seen that the DC voltage regulation system is a stable and steady-state error free system. Thus with fuzzy logic and the id-iq approach, a novel shunt active filter can be developed. Peng, G. Ott Jr. Power Electron.
Soares, P. Verdelho, and G. Panda, S. Patnaik, and S. Akagi, Y. Ia, No. Suresh, A. Panda, Y. M Montero, E.
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