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Synchronous motor drives

Synchronous motor drives

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This chapter deals with the development of model, simulation and hardware implementation of the synchronous motor (SM) drive under various operating conditions. In the modeling of vector-controlled PMSM drive, the complete model of the SM drive system is developed for different types of speed controllers with a view to improving the performance of the drive. The simulations of PMSM drive are carried out in MATLAB ® environment with Power System Blockset (PSB) and fuzzy logic control (FLC) toolboxes. The hardware of vector-controlled PMSM drive system includes control circuit, interfacing circuit and the power circuit. The control circuit is implemented in DSP ADMC401 and the power circuit consists of the voltage source inverter (VSI) and the PMSM. The interfacing circuit is required for feedback signals in the form of motor winding currents and position as well as rotational speed of the rotor. The DSP-based software algorithm is used to obtain the performance of the drive for starting, speed reversal, load perturbation and steady-state response for different types of closed-loop speed controllers. The simulated results are presented in this chapter along with DSP-based implementation results of developed prototype of drive to validate both the model and the control algorithms.

Chapter Contents:

  • 5.1 Introduction
  • 5.2 Classification of synchronous motor drives
  • 5.3 Magnet torque and reluctance torque-based classification
  • 5.4 Comparison of IPMSM and PMaSynRM
  • 5.5 Different control techniques for various synchronous speed motors
  • 5.6 Operating principle of vector control technique
  • 5.7 Mathematical model of vector-controlled PMSM drive
  • 5.7.1 Modeling of speed controllers
  • 5.7.1.1 Proportional integral (PI) controller
  • 5.7.1.2 Sliding mode controller (SMC)
  • 5.7.1.3 Fuzzy pre-compensated PI controller
  • 5.7.1.4 Hybrid fuzzy PI controller
  • 5.7.2 Modeling of reference winding current generation
  • 5.7.3 Modeling of PWM current controller
  • 5.7.4 Modeling of PMSM
  • 5.7.5 Modeling of voltage source inverter
  • 5.8 MATLAB-based model of vector-controlled PMSM drive system
  • 5.8.1 Modeling using power system blockset (PSB) toolbox
  • 5.8.1.1 Speed controller
  • 5.8.1.2 Field weakening controller
  • 5.8.1.3 Reference winding current generation
  • 5.8.1.4 Current controlled pulse width modulator (CC-PWM)
  • 5.9 Description of DSP-based vector-controlled PMSM drive
  • 5.9.1 Development of signal conditioning circuits
  • 5.9.2 Development of power circuit of the drive
  • 5.10 DSP-based software implementation of vector-controlled PMSM drive
  • 5.10.1 Reference speed input
  • 5.10.2 Sensing of rotor position signals
  • 5.10.3 Speed sensing
  • 5.10.4 Speed controller
  • 5.10.5 Reference winding current generation
  • 5.10.6 Switching signal generation for voltage source inverter
  • 5.11 Testing of vector-controlled PMSM drive
  • 5.11.1 Testing of control circuit
  • 5.11.2 Testing of power circuit
  • 5.12 Results and discussion
  • 5.12.1 Starting dynamics of vector-controlled PMSM drive
  • 5.12.2 Load perturbation performance of vector-controlled PMSM drive
  • 5.12.3 Speed reversal dynamics of vector-controlled PMSM drive
  • 5.12.4 Comparative study among different speed controllers
  • 5.13 Sensor reduction in vector-controlled permanent magnet synchronous motor drive
  • 5.13.1 Sensor requirements in vector-controlled PMSM drive system
  • 5.13.2 Review of mechanical sensor reduction techniques in PMSM drive
  • 5.13.2.1 Back emf-based position estimation technique
  • 5.13.2.2 Stator voltages and winding current-based techniques
  • 5.13.2.3 Observer-based sensorless estimation of position and speed
  • 5.13.2.4 High-frequency carrier signal injection method for estimation of position and speed
  • 5.13.2.5 Stochastic filtering-based sensorless estimation of position and speed
  • 5.13.2.6 Current and voltage model-based sensorless algorithms
  • 5.13.2.7 Artificial intelligence-based position and speed estimators
  • 5.13.3 Electrical sensor reduction in PMSM drive
  • 5.14 Sensorless vector-controlled PMSM drive
  • 5.14.1 Stator voltage estimation
  • 5.14.2 Winding current estimation
  • 5.14.3 Flux estimation
  • 5.14.4 Position estimation
  • 5.14.5 Speed estimation
  • 5.15 MATLAB-based model of sensorless vector-controlled PMSM drive
  • 5.15.1 Flux estimator
  • 5.15.2 Position and speed estimation
  • 5.15.3 Speed controller
  • 5.15.4 Reference winding current generation
  • 5.15.5 Current controlled pulse width modulator (CC-PWM)
  • 5.16 DSP-based hardware implementation of sensorless vector-controlled PMSM drive
  • 5.16.1 Development of signal conditioning circuits
  • 5.16.2 Development of power circuit of the drive
  • 5.17 DSP-based software implementation of sensorless vector-controlled PMSM drive
  • 5.17.1 Reference speed input
  • 5.17.2 Estimation of stator flux and position of rotor
  • 5.17.3 Speed estimation
  • 5.17.4 Speed controller
  • 5.17.5 Reference winding current generation
  • 5.17.6 Switching signal generation for voltage source inverter
  • 5.18 Testing of sensorless vector-controlled PMSM drive
  • 5.18.1 Testing of control circuit
  • 5.18.2 Testing of power circuit
  • 5.19 Results and discussion
  • 5.19.1 Starting dynamics of sensorless PMSM drive
  • 5.19.2 Load perturbation response of sensorless PMSM drive
  • 5.19.3 Speed reversal dynamics of sensorless PMSM drive
  • 5.19.4 Steady-state performance of sensorless PMSM drive
  • 5.20 Summary
  • List of symbols
  • Glossary of terms
  • References

Inspec keywords: closed loop systems; fuzzy control; machine vector control; Matlab; electric machine analysis computing; invertors; control engineering computing; angular velocity control; synchronous motor drives; perturbation techniques; feedback

Other keywords: control circuit; load perturbation; steady-state response; speed reversal; DSP-based software algorithm; voltage source inverter; interfacing circuit; vector-controlled PMSM drive system; motor winding currents; operating conditions; closed-loop speed controllers; feedback signals; rotational speed; motor winding position; PSB; power circuit; Power System Blockset; MATLAB environment; hardware implementation; synchronous motor drives; fuzzy logic control toolboxes; FLC; starting

Subjects: Fuzzy control; Control engineering computing; Velocity, acceleration and rotation control; Drives; Power engineering computing; Mathematics computing; Synchronous machines; Control of electric power systems

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