Model Of Synchronous Motor Research Articles

Performance Comparison of Permanent Magnet Synchronous Motor with Different Magnet Configuration Used in Electric Vehicle

Due to the depletion of fossil fuels, increasing environmental pollution, and global warming, the use of electric vehicles is becoming more widespread. Electric vehicles offer numerous advantages, including high efficiency, quiet and vibration-free operation, and being environmentally friendly. Electric motors provide high power density and a wide torque-speed range. Therefore, many engineering studies, analyses, and comparisons are conducted for electric motors used in electric vehicles. In this study, modeling and analyses of interior permanent magnet synchronous motors with different magnet configurations were carried out, taking as a reference an interior permanent magnet synchronous motor used in a mass-produced and well-selling electric vehicle. At the end of the study, structures with different magnet configurations were compared in terms of performance characteristics such as torque, torque ripple, and efficiency.

Modeling of a permanent magnet synchronous motor for an aircraft based on Simulink

Modeling of a permanent magnet synchronous motor for an aircraft based on Simulink

Extending the range of dual-zone permanent magnet synchronous motor control

Achieving a twofold increase in the rotation speed of a permanent magnet synchronous motor while maintaining its power characteristics at the original level permits to increase the productivity and quality of material processing on metal-cutting machines. The theoretical study has been conducted using the mathematical model of a permanent magnet synchronous motor. The new control algorithm provides for two working zones: a nominal speed zone where the required power parameters are maintained (the first zone), and a high speed zone with a twofold increase in the rotation speed relative to the nominal (the second zone). To assess the efficiency of the developed algorithm, numerical modeling and comparative analysis with traditional control methods for a permanent magnet synchronous motor have been performed. The obtained results have demonstrated the advantages of the proposed approach permitting a twofold increase in the speed of the main drive of a metal-cutting machine without deteriorating its energy characteristics. The data of the theoretical study have been confirmed by simulation modeling of a closed system in the SimInTech software package. The developed control algorithm can be used to optimize the operation of main drives based on a permanent magnet synchronous motor as part of metalworking equipment.

Design of Control Strategies for Electric Actuators in 155mm

Abstract The performance of electromagnetic servo actuators as the control execution mechanism for guided projectiles plays a crucial role in the control system of guided projectiles. Due to the limited internal space of correction projectiles and the need to adapt to high-speed rotation, high overload, and small volume environments, the structure, control, and drive circuits of the electromagnetic servo actuators should be miniaturized as much as possible while meeting the requirements and control accuracy. This paper introduces the principle design of the motor drive and control circuit. A permanent magnet synchronous motor is adopted according to the characteristics of the required electromagnetic servo actuators. The model of the permanent magnet synchronous motor is studied, and based on the extended Kalman filter state observer, the estimation of the motor rotor position and speed is conducted. Subsequently, closed-loop vector control simulations of current, speed, and position are performed using Matlab/Simulink to evaluate the control strategy’s effectiveness in actual 155mm correction projectile payloads. This research can provide beneficial reference and guidance for the optimization of electromagnetic servo actuators in practical applications.

Robust Predefined Time Stability of nth-Order Systems Subject to Deterministic Matched Disturbances

Speed of convergence and robustness against disturbances affecting a dynamical system are of great importance in real-life applications. To satisfy these requirements, another approach called predefined time control has been developed in the last decade, which ensures the convergence of the states of a class of dynamical systems to the desired reference value in a time set by the control designer at will. However, previously proposed predefined time control algorithms have drawbacks that need to be tackled. For this reason, the authors present another form of predefined time control algorithm that can be coupled with any observer (in the case where not all the states of the system can be measured) or any other robust controller to robustify the system against matched disturbances. The development shows that the necessary form of the control law can be obtained using basic integration and backstepping. The performance of the control law is demonstrated through a series of numerical simulations utilizing the mathematical model of a permanent magnet synchronous motor (PMSM). The results show that the proposed control algorithm is, indeed, robust against any matched disturbance, and the convergence of the system states is ensured independently of any initial condition in the time set by the control designer at will.

Differential evolution and common-mode current-based modeling of permanent magnet synchronous motors

Differential evolution and common-mode current-based modeling of permanent magnet synchronous motors

Research on sliding mode active disturbance rejection based on permanent magnet synchronous motor

Abstract The motor is more and more common in our daily life, because the permanent magnet synchronous motor has many advantages such as high efficiency, simple structure and reliability. For the motor speed response time is long, overshoot and load instability. The motor speed loop controller is designed by combining the mathematical model of a permanent magnet synchronous motor with sliding mode control theory and nonlinear active disturbance rejection control theory. By combining with ADRC, this method has the characteristics of small overshoot, small buffeting, very fast response and strong anti-load disturbance ability. The feasibility of the sliding mode active disturbance rejection control algorithm is verified by Matlab/Simulink simulation experiments.

Research on an improved deadbeat model predictive current control of double three-phase open-winding permanent magnet motor

Model predictive current control has high control accuracy and good control performance, and has been widely applied in the control strategy of dual three-phase permanent magnet synchronous motors. This article proposes an improved deadbeat model predictive current control (DMPCC) method by analyzing the mathematical model of a dual three-phase open-winding permanent magnet synchronous motor. One inverter predicts and calculates the optimal voltage vector through the deadbeat model, while the other inverter calculates the optimal voltage vector through the value function rolling optimization. This method reduces the computational workload of the controller, avoids the delay problem of the traditional model predictive current control (MPCC) method, improves the system's response speed, effectively suppresses the current in the harmonic sub-plane, and reduces torque ripple. The simulation results have verified the accuracy and speed of the above control method.

Magnetic equivalent circuit modeling of a permanent magnet linear synchronous motor composed of curved segments

This paper advances magnetic equivalent circuit (MEC) modeling for permanent magnet linear synchronous motors (PMLSMs) with arbitrarily curved segments. As PMLSMs are increasingly utilized in industrial applications, accurate and computationally efficient modeling techniques are paramount. This research proposes a novel approach that meets these requirements and paves the way for real-time model-based control, observers, and estimation strategies. Existing MEC models for PMLSMs primarily consider straight stator segments, neglecting the impact of the curvature of curved segments commonly used in modern PMLSM designs. The approach proposed in this paper systematically incorporates these effects into the MEC model for PMLSMs to address this limitation. As demonstrated by several validation experiments, a calibration concept based on measurements further enhances the model’s accuracy. Finally, a method for efficiently implementing the proposed MEC model for a whole PMLSM setup significantly reduces the computation time compared to the standard implementation.

A Power-RPM Reduced-Order Model and Power Control Strategy of the Dual Three-Phase Permanent Magnet Synchronous Motor in a V/f Framework for Oscillation Suppression

A Power-RPM Reduced-Order Model and Power Control Strategy of the Dual Three-Phase Permanent Magnet Synchronous Motor in a V/f Framework for Oscillation Suppression

Temperature Field Distribution and Thermal Stress Analysis of Pumped Storage Electric Motors

Abstract With the increasingly important role of pumped storage in energy systems, new and higher requirements have been put forward for the operation, safety, and economy of pumped storage power plants. The article takes a three-phase salient pole synchronous pumped storage motor as the research object, by using ANSYS finite element analysis software, a finite element model of a three-phase synchronous generator motor was established to analyze the internal temperature field distribution and thermal stress distribution of the motor. The results show that the higher temperature region of the entire system was concentrated at the winding, followed by the stator and rotor. Therefore, when optimizing the design of the motor in the future, the first step should be to start from the winding. The analysis of the thermal stress situation of the stator shows that the thermal stress and strain were mainly distributed at the inner diameter of the stator core, which was consistent with the distribution of the temperature field at the stator. The results of this study can provide theoretical guidance for the key maintenance areas and maintenance time of pumped storage power generation motors.

Identification Technique for Exponents and Current Source of Polynomial Flux Saturation Model for Synchronous Motors

Identification Technique for Exponents and Current Source of Polynomial Flux Saturation Model for Synchronous Motors

Research on Control Strategy of Oscillating Continuous-Wave Pulse Generator Based on ILADRC

To achieve fast and precise position servo control in a continuous-wave pulse generator and address issues such as internal and external disturbances and significant overshoot, this paper proposes an improved linear active disturbance rejection control strategy. First, a mathematical model of the permanent magnet synchronous motor is established, and a second-order linear active disturbance rejection controller is designed based on this model. To address the issue of large errors in disturbance estimation by the traditional extended state observer, a cascaded extended state observer is introduced. By designing an additional state observer to estimate the system’s residual disturbances, the impact of disturbances on system performance is further reduced. Through an in-depth analysis of the motion characteristics of the continuous-wave pulse generator, the trade-off between system overshoot and response speed is revealed. To address this, a new adaptive law is proposed. This law, based on the system’s periodic wave response and tracking error, adjusts the parameters of the linear state error feedback control law in real time, reducing system overshoot while improving response speed. To validate the effectiveness of the proposed control strategy, a simulation model of the position servo control system for the continuous-wave pulse generator was developed. The comparative analysis of the simulation results for the different control strategies shows that the improved linear active disturbance rejection control strategy significantly enhances the system’s dynamic response performance.

Optimal position collaborative control of dual permanent magnet synchronous motor system

In order to improve the control accuracy and synchronous performance of the multi-motor control system, this paper proposes an optimal position collaborative control strategy for dual permanent magnet synchronous motor system. Firstly, based on the mathematical model of permanent magnet synchronous motor, an incremental predictive model is established to suppress constant and slow time-varying disturbances caused by changes in rotational inertia and load torque. Afterwards, the predicted compensation amount after multi-step prediction is obtained by minimizing the cost function which contains the synchronous error and tracking error simultaneously, and compensated to the given current loop in advance without changing the original dual motor system structure. Then the controllability and observability of the system are analyzed, and it can be proved that the system is asymptotically stable based on the optimal control theory. Secondly, considering the constraints such as maximum voltage and current limits, the optimal solution under the constraints is output to obtain the reference currents i q1 and i q2. Finally, it is demonstrated through the experiments that the proposed control strategy can achieve advance prediction compensation control of synchronous error, and the dynamic response speed is improved, while ensuring its steady-state performance remains unchanged.

Research on Optimization Design of Electric Motor Based on Finite Element Calculation

With the widespread application of permanent magnet synchronous motors in the new energy vehicle market, the demand for verification and optimization of the design rationality of permanent magnet synchronous motors is gradually increasing. This article first establishes a three-phase four pole permanent magnet synchronous motor model based on the motor parameters provided by the motor manufacturer. Then, finite element simulation calculations are carried out on this model to solve the three-phase induced electromotive force, three-phase magnetic flux, cogging torque, iron core loss, and eddy current loss of the permanent magnet synchronous motor when it is unloaded. The rationality of the motor design is verified through the solution results. Finally, the average core loss of the permanent magnet synchronous motor is reduced by 3.6% through parameterized simulation, and its operating efficiency is improved. The optimization design is carried out on it.

Model-free three-vector predictive current control of permanent magnet synchronous motor based on improved sliding mode observer

Abstract To address the complexity of vector selection in the conventional predictive current control strategy and the reduction of control system robustness when the motor parameters change, this paper proposes a finite-set model-free three-vector predictive current control method for permanent magnet synchronous motor based on the improved sliding-mode perturbation observer. According to the mathematical model of a permanent magnet synchronous motor under perturbation, a new hyperlocal model is established, and the conventional vector traversal optimization method is optimized to obtain the necessary basic voltage vector by analyzing the function with one judgment. Meanwhile, the sliding mode perturbation observer is designed using the fast exponential convergence law to observe the unknown part. Finally, by experimentally contrasting the proposed technique with the conventional three-vector model predictive current control, the method suggested in this paper can successfully reduce the current pulsation and inhibit the system perturbation caused by the parameter change, ensuring the steady state performance of the motor, as demonstrated by the experimental comparison with the conventional three-vector model predictive current control method.

Dynamic Model of a Line-Start Permanent Magnet Synchronous Motor Equipped With Hybrid Rotor

Dynamic Model of a Line-Start Permanent Magnet Synchronous Motor Equipped With Hybrid Rotor

Research on the EMA Control Method Based on Transmission Error Compensation

This research investigates the impact of nonlinear clearance factors on position tracking accuracy in the servo drive system of a harmonic reducer. The study introduces a technique for modeling and compensating for transmission errors, thereby improving position tracking accuracy through online compensation combined with an auto-disturbance rejection controller. Initially, the mathematical model of the permanent magnet synchronous motor is outlined, and the current loop and speed loop control models are derived. Subsequently, an electromechanical actuator (EMA) simulation model with clearance is established, and detailed simulation analysis is conducted to verify the impact of clearance on tracking accuracy. A model for online compensation of transmission errors is then developed. Following the principles of active disturbance rejection control (ADRC), a second-order ADRC is formulated for real-time compensation of transmission errors in EMA position mode. Finally, through no-load and load experiments, the change in position tracking error with and without transmission error compensation is compared and analyzed. The results demonstrate that utilizing automatic disturbance rejection control with transmission error compensation achieves the highest position tracking accuracy. Compared to the proportion integration differentiation (PID) control method, the root mean square of position tracking error is reduced by approximately 12.8% and 17.3% under no-load and load conditions, respectively. By compensating for position errors online, the accuracy of the EMA position can be improved.

Fuzzy PID Control Design of Mining Electric Locomotive Based on Permanent Magnet Synchronous Motor

Achieving precise stopping of electric locomotives is crucial for the realization of intelligent and unmanned auxiliary transportation systems. Presently, human drivers play a central role in ensuring accurate stopping, presenting obstacles to automation and cargo location precision, especially within the coal mining sector. This article centers on achieving the precise stopping of electric locomotives under various conditions through the utilization of permanent magnet synchronous motor-driven locomotives. This approach introduces a novel stopping control method that integrates a fuzzy proportional–integral–derivative (F-PID) controller with a vector control model for permanent magnet synchronous motors (PMSM). Subsequently, we develop the F-PID controller using the PMSM technique, incorporating new fuzzy rules for each subsystem to enhance control accuracy and efficiency. Finally, extensive simulations and real-world experiments are conducted on an electric locomotive stopping test bed to validate the effectiveness of the proposed control method. The results show that the method consistently achieves precise stopping under diverse working conditions, with an error of less than 0.3 m, confirming its robustness and reliability.

Multi-motor average deviation coupling control strategy based on hyperbolic convergence law high-order sliding mode control using extended state sliding mode observer

This paper aims to develop a multi-motor synchronous drive control system for the direction of the width of the lifting arm of a catamaran. Firstly, we establish a mathematical model of permanent magnet synchronous motor and introduce the composition of AC servo control systems. We then analyze the sources of control interference in multi-motor drive systems. Based on the mean deviation coupling control strategy of multi-motor synchronous control, we design a speed tracking controller and a speed synchronization controller using hyperbolic convergence law high-order sliding mode control. Then, we design an extended state sliding mode observer to estimate the unmodeled dynamics of the system in real time. We prove the global stability of the controller using Lyapunov stability theory. Finally, the control model is simulated, and the results confirm the effectiveness of the multi-motor synchronization control method based on the hyperbolic convergence law of higher-order sliding mode control. The control method effectively mitigates the jitter associated with traditional sliding mode control and demonstrates improved synchronization and tracking performance.