Sudhakar Ambarapu | JNTU College of Engineering, Anantapur (original) (raw)

Uploads

Papers by Sudhakar Ambarapu

Research paper thumbnail of Modern equipment for feed preparation

Research paper thumbnail of Minimization of Torque Ripple By SVM In Direct Torque Control Of PMSM Drives

Research paper thumbnail of Harmonic minimisation in direct torque controlled induction motor using neural network controller

International Journal of Energy Technology and Policy

Research paper thumbnail of A Comparative Analysis Of PI And Neuro Fuzzy Controllers In Direct Torque Control Of Induction Motor Drives

The implementation of conventional DTC in Induction Motor drives consisting of PI torque controll... more The implementation of conventional DTC in Induction Motor drives consisting of PI torque controller suffers from complex tuning and Overshoot problems. One of the various methods to tackle this problem is implementation of intelligent controllers like neuro fuzzy-based controller This paper presents the simulation and analysis of a Neuro fuzzy-based torque controller for DTC of Induction motor drives. This control scheme uses the speed error calculated from reference speed and estimated speed which generates the estimated Torque and compared with the actual Torque and generates the inverter switching states. In this paper a modified ANFIS structure is proposed. This structure generates the desired reference voltage which regulates the performance of induction motor. Comparisons and analysis under various operating conditions between hysteresis-based PI torque controller and Neuro fuzzy-based torque controller are presented. The results show that the proposed controller managed to reduce the overshoot and give better performance.

Research paper thumbnail of Neural Network Controllers in Direct Torque Controlled Synchronous Motor

In recent times, permanent magnet synchronous motors (PMSM) have gained numerous industrial appli... more In recent times, permanent magnet synchronous motors (PMSM) have gained numerous industrial applications, because of simple structure, high efficiency and ease of maintenance. But these motors have a nonlinear mathematical model. To resolve this problem several studies have suggested the application of vector control (VC) and direct torque control (DTC) with soft-computing (SC) techniques. This paper presents neuro direct torque control (NDTC) of PMSM. Hence this paper aims to present a technique to control speed and torque with reduced ripple compared to previous techniques. The outputs of Artificial Neural Network(ANN) controller mechanism is compared with that of classical DTC and the results demonstrate the influence of ANN is improved compared to classical DTC topology. The system is also verified and proved to be operated stably with reduced torque ripple, very low speed, sudden speed reversals, at low torque and at high torque. The proposed method validity and effectiveness h...

Research paper thumbnail of Torque ripple reduction in direct torque control of induction motor drives

Ahsfrl1c/-This pallcr gives 8n overvlcw to the princil'\c of Direct Torque Control (DTe) of ... more Ahsfrl1c/-This pallcr gives 8n overvlcw to the princil'\c of Direct Torque Control (DTe) of 111IIuction Machines (1M) drlvl'5. A summary to tile various techniques 01' (orllue rll'llle reduction followed by a proposed sImple method to reduce the torque ripple Is also presented. l\1odclhl ...

Research paper thumbnail of Simulation of five-level inverter fed PMSM based on fast SVPWM

Research paper thumbnail of Neural Network Controllers in DTC of Synchronous Motor Drives

International Journal of Power Electronics and Drive Systems (IJPEDS), 2013

Research paper thumbnail of Torque ripple reduction in direct torque control of induction motor drives

Proceedings. National Power Engineering Conference, 2003. PECon 2003., 2003

Ahsfrl1c/-This pallcr gives 8n overvlcw to the princil'\c of Direct Torque Control (DTe) of ... more Ahsfrl1c/-This pallcr gives 8n overvlcw to the princil'\c of Direct Torque Control (DTe) of 111IIuction Machines (1M) drlvl'5. A summary to tile various techniques 01' (orllue rll'llle reduction followed by a proposed sImple method to reduce the torque ripple Is also presented. l\1odclhl ...

Research paper thumbnail of Figure 1 Simulation model of five-level inverter fed PMSM Simulation of five-level inverter fed PMSM based on fast SVPWM

—This paper presents simulation of a fast space vector pulse width modelation (fast SVPWM) method... more —This paper presents simulation of a fast space vector pulse width modelation (fast SVPWM) method for five-level inverter fed permanent magnent synchronous motor (PMSM). In this method, the space vector diagram of the five-level inverter is decomposed into six space vector diagram of three-level inverter. In turn, each of these six space vector diagrams of three-level inverter is decomposed into six space vector diagramsof two-level inverters. After decomposition, all the remaining necessary procedures for the three-level SVPWM are done like conventional two-level inverter. The proposed method reduces the algorithm complexity and execution time. It can apply to the multi-level inverters above the five-level also. Simulation results of a fast SVPWM shows that PMSM has more stable operation under dynamic load. Keywords—Diode clamped inverter; Five-level inverter; permanent magnent synchronous motor (PMSM); space vector pulse width modulation (SVPWM)

Research paper thumbnail of MINIMIZATION OF TORQUE RIPPLE BY SVM IN DIRECT TORQUE CONTROL OF PMSM DRIVES

Research paper thumbnail of MINIMIZATION OF TORQUE RIPPLE BY SVM IN DIRECT TORQUE CONTROL OF PMSM DRIVES

Research paper thumbnail of Torque Ripple Reduction in Direct Torque Control Based Induction Motor using Intelligent Controllers

This paper presents intelligent control scheme together with conventional control scheme to overc... more This paper presents intelligent control scheme together with conventional control scheme to overcome the problems with uncertainties in the structure encountered with classical model based design of induction motor drive based on direct torque control (DTC). It allows high dynamic performance to be obtained with very simple hysteresis control scheme. Direct control of the torque and flux is achieved by proper selection of inverter voltage space vector through a lookup table. This paper also presents the application of intelligent controllers like neural network and fuzzy logic controllers to control induction machines with DTC. Intelligent controllers are used to emulate the state selector of the DTC. With implementation of intelligent controllers the system is also verified and proved to be operated stably with reduced torque ripple. The proposed method validity and effectiveness has been verified by computer simulations using Matlab/Simulink Ò. These results are compared with the ones obtained with a classical DTC using proportional integral speed controller.

Research paper thumbnail of A Comparative Analysis Of PI And Neuro Fuzzy Controllers In Direct Torque Control Of Induction Motor Drives

The implementation of conventional DTC in Induction Motor drives consisting of PI torque controll... more The implementation of conventional DTC in Induction Motor drives consisting of PI torque controller suffers from complex tuning and Overshoot problems. One of the various methods to tackle this problem is implementation of intelligent controllers like neuro fuzzy-based controller This paper presents the simulation and analysis of a Neuro fuzzy-based torque controller for DTC of Induction motor drives. This control scheme uses the speed error calculated from reference speed and estimated speed which generates the estimated Torque and compared with the actual Torque and generates the inverter switching states. In this paper a modified ANFIS structure is proposed. This structure generates the desired reference voltage which regulates the performance of induction motor. Comparisons and analysis under various operating conditions between hysteresis-based PI torque controller and Neuro fuzzy-based torque controller are presented. The results show that the proposed controller managed to reduce the overshoot and give better performance.

Research paper thumbnail of Neural Network Controllers in Direct Torque Controlled Synchronous Motor Article Info ABSTRACT Corresponding Author

In recent times, permanent magnet synchronous motors (PMSM) have gained numerous industrial appli... more In recent times, permanent magnet synchronous motors (PMSM) have gained numerous industrial applications, because of simple structure, high efficiency and ease of maintenance. But these motors have a nonlinear mathematical model. To resolve this problem several studies have suggested the application of vector control (VC) and direct torque control (DTC) with softcomputing (SC) techniques. This paper presents neuro direct torque control (NDTC) of PMSM. Hence this paper aims to present a technique to control torque with reduced ripple compared to previous techniques. The outputs of Artificial Neural Network (ANN) controller mechanism is compared with that of classical DTC and the results demonstrate the influence of ANN is improved compared to classical DTC topology. The system is also verified and proved to be operated stably with reduced torque ripple, sudden speed reversals, at low torque and at high torque. The proposed method validity and effectiveness has been verified by computer simulations using Matlab/Simulink®. These results are compared with the ones obtained with a classical DTC using PI speed controller.

Research paper thumbnail of Modern equipment for feed preparation

Research paper thumbnail of Minimization of Torque Ripple By SVM In Direct Torque Control Of PMSM Drives

Research paper thumbnail of Harmonic minimisation in direct torque controlled induction motor using neural network controller

International Journal of Energy Technology and Policy

Research paper thumbnail of A Comparative Analysis Of PI And Neuro Fuzzy Controllers In Direct Torque Control Of Induction Motor Drives

The implementation of conventional DTC in Induction Motor drives consisting of PI torque controll... more The implementation of conventional DTC in Induction Motor drives consisting of PI torque controller suffers from complex tuning and Overshoot problems. One of the various methods to tackle this problem is implementation of intelligent controllers like neuro fuzzy-based controller This paper presents the simulation and analysis of a Neuro fuzzy-based torque controller for DTC of Induction motor drives. This control scheme uses the speed error calculated from reference speed and estimated speed which generates the estimated Torque and compared with the actual Torque and generates the inverter switching states. In this paper a modified ANFIS structure is proposed. This structure generates the desired reference voltage which regulates the performance of induction motor. Comparisons and analysis under various operating conditions between hysteresis-based PI torque controller and Neuro fuzzy-based torque controller are presented. The results show that the proposed controller managed to reduce the overshoot and give better performance.

Research paper thumbnail of Neural Network Controllers in Direct Torque Controlled Synchronous Motor

In recent times, permanent magnet synchronous motors (PMSM) have gained numerous industrial appli... more In recent times, permanent magnet synchronous motors (PMSM) have gained numerous industrial applications, because of simple structure, high efficiency and ease of maintenance. But these motors have a nonlinear mathematical model. To resolve this problem several studies have suggested the application of vector control (VC) and direct torque control (DTC) with soft-computing (SC) techniques. This paper presents neuro direct torque control (NDTC) of PMSM. Hence this paper aims to present a technique to control speed and torque with reduced ripple compared to previous techniques. The outputs of Artificial Neural Network(ANN) controller mechanism is compared with that of classical DTC and the results demonstrate the influence of ANN is improved compared to classical DTC topology. The system is also verified and proved to be operated stably with reduced torque ripple, very low speed, sudden speed reversals, at low torque and at high torque. The proposed method validity and effectiveness h...

Research paper thumbnail of Torque ripple reduction in direct torque control of induction motor drives

Ahsfrl1c/-This pallcr gives 8n overvlcw to the princil'\c of Direct Torque Control (DTe) of ... more Ahsfrl1c/-This pallcr gives 8n overvlcw to the princil'\c of Direct Torque Control (DTe) of 111IIuction Machines (1M) drlvl'5. A summary to tile various techniques 01' (orllue rll'llle reduction followed by a proposed sImple method to reduce the torque ripple Is also presented. l\1odclhl ...

Research paper thumbnail of Simulation of five-level inverter fed PMSM based on fast SVPWM

Research paper thumbnail of Neural Network Controllers in DTC of Synchronous Motor Drives

International Journal of Power Electronics and Drive Systems (IJPEDS), 2013

Research paper thumbnail of Torque ripple reduction in direct torque control of induction motor drives

Proceedings. National Power Engineering Conference, 2003. PECon 2003., 2003

Ahsfrl1c/-This pallcr gives 8n overvlcw to the princil'\c of Direct Torque Control (DTe) of ... more Ahsfrl1c/-This pallcr gives 8n overvlcw to the princil'\c of Direct Torque Control (DTe) of 111IIuction Machines (1M) drlvl'5. A summary to tile various techniques 01' (orllue rll'llle reduction followed by a proposed sImple method to reduce the torque ripple Is also presented. l\1odclhl ...

Research paper thumbnail of Figure 1 Simulation model of five-level inverter fed PMSM Simulation of five-level inverter fed PMSM based on fast SVPWM

—This paper presents simulation of a fast space vector pulse width modelation (fast SVPWM) method... more —This paper presents simulation of a fast space vector pulse width modelation (fast SVPWM) method for five-level inverter fed permanent magnent synchronous motor (PMSM). In this method, the space vector diagram of the five-level inverter is decomposed into six space vector diagram of three-level inverter. In turn, each of these six space vector diagrams of three-level inverter is decomposed into six space vector diagramsof two-level inverters. After decomposition, all the remaining necessary procedures for the three-level SVPWM are done like conventional two-level inverter. The proposed method reduces the algorithm complexity and execution time. It can apply to the multi-level inverters above the five-level also. Simulation results of a fast SVPWM shows that PMSM has more stable operation under dynamic load. Keywords—Diode clamped inverter; Five-level inverter; permanent magnent synchronous motor (PMSM); space vector pulse width modulation (SVPWM)

Research paper thumbnail of MINIMIZATION OF TORQUE RIPPLE BY SVM IN DIRECT TORQUE CONTROL OF PMSM DRIVES

Research paper thumbnail of MINIMIZATION OF TORQUE RIPPLE BY SVM IN DIRECT TORQUE CONTROL OF PMSM DRIVES

Research paper thumbnail of Torque Ripple Reduction in Direct Torque Control Based Induction Motor using Intelligent Controllers

This paper presents intelligent control scheme together with conventional control scheme to overc... more This paper presents intelligent control scheme together with conventional control scheme to overcome the problems with uncertainties in the structure encountered with classical model based design of induction motor drive based on direct torque control (DTC). It allows high dynamic performance to be obtained with very simple hysteresis control scheme. Direct control of the torque and flux is achieved by proper selection of inverter voltage space vector through a lookup table. This paper also presents the application of intelligent controllers like neural network and fuzzy logic controllers to control induction machines with DTC. Intelligent controllers are used to emulate the state selector of the DTC. With implementation of intelligent controllers the system is also verified and proved to be operated stably with reduced torque ripple. The proposed method validity and effectiveness has been verified by computer simulations using Matlab/Simulink Ò. These results are compared with the ones obtained with a classical DTC using proportional integral speed controller.

Research paper thumbnail of A Comparative Analysis Of PI And Neuro Fuzzy Controllers In Direct Torque Control Of Induction Motor Drives

The implementation of conventional DTC in Induction Motor drives consisting of PI torque controll... more The implementation of conventional DTC in Induction Motor drives consisting of PI torque controller suffers from complex tuning and Overshoot problems. One of the various methods to tackle this problem is implementation of intelligent controllers like neuro fuzzy-based controller This paper presents the simulation and analysis of a Neuro fuzzy-based torque controller for DTC of Induction motor drives. This control scheme uses the speed error calculated from reference speed and estimated speed which generates the estimated Torque and compared with the actual Torque and generates the inverter switching states. In this paper a modified ANFIS structure is proposed. This structure generates the desired reference voltage which regulates the performance of induction motor. Comparisons and analysis under various operating conditions between hysteresis-based PI torque controller and Neuro fuzzy-based torque controller are presented. The results show that the proposed controller managed to reduce the overshoot and give better performance.

Research paper thumbnail of Neural Network Controllers in Direct Torque Controlled Synchronous Motor Article Info ABSTRACT Corresponding Author

In recent times, permanent magnet synchronous motors (PMSM) have gained numerous industrial appli... more In recent times, permanent magnet synchronous motors (PMSM) have gained numerous industrial applications, because of simple structure, high efficiency and ease of maintenance. But these motors have a nonlinear mathematical model. To resolve this problem several studies have suggested the application of vector control (VC) and direct torque control (DTC) with softcomputing (SC) techniques. This paper presents neuro direct torque control (NDTC) of PMSM. Hence this paper aims to present a technique to control torque with reduced ripple compared to previous techniques. The outputs of Artificial Neural Network (ANN) controller mechanism is compared with that of classical DTC and the results demonstrate the influence of ANN is improved compared to classical DTC topology. The system is also verified and proved to be operated stably with reduced torque ripple, sudden speed reversals, at low torque and at high torque. The proposed method validity and effectiveness has been verified by computer simulations using Matlab/Simulink®. These results are compared with the ones obtained with a classical DTC using PI speed controller.