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Induction motors are the most frequently employed as industrial drives since they are reliable and economical. Before putting the motors into service, their operating efficiencies must be carefully chosen to match with a desired mechanical loading range. So, the motor’s efficiency-slip curves are often required for proper selections of induction motor drives. This paper proposes a new method for estimating the efficiency-versus-speed profile of industrial induction motors. This method requires motor manufacturer data. Validation is conducted using a conventional standard equivalent-circuit model of single-cage induction motors. The presented approach helps users to select a proper operating condition of induction motors more efficiently.
This research work proposes transformerless buck-boost converter with common ground. The proposed converter consists of five switches that can be configured to either noninverting or inverting output (polarity selectable). The proposed converter circuit can function as ordinary buck-boost or noninverting (two-switch) buck-boost converter. The converter gain can be adjusted to lower or higher than unity. The logic diagram for configuring the converter, converter analysis, design and computer simulation to confirm the analytical work are presented in the paper. The paper also shows that the proposed converter circuit is suitable for several industrial applications, such as dc motor servo drive and PWM inverter having common ground with the voltage source. How to implement the proposed converter to power supply and common ground inverter is given in the paper.
To realize sensorless control of switched reluctance machine (SRM), a sensorless control method of SRM based on adaptive sliding mode observer is presented. First, the magnetic chain of the motor is collected, the estimated current is obtained by looking up the table, then the error function is constructed to simplify the sliding surface, and the observed values of the speed and the position of the rotator are obtained. Finally, the adaptive rate of the motor speed and the rotor position is set according to the SRM state equation to reduce the error between the predicted value and the actual value of the sliding mode observer. The performance of the proposed adaptive sliding mode observer is verified by simulation. This method can modify its characteristics to suit the changes of object and disturbance dynamic characteristics. Compared with traditional sliding mode observers, the adaptive sliding mode observer can reduce the jitter caused by irregular switching characteristics and improve the accuracy of predicting the position of the rotor.
This paper proposes a current pre-estimation method to solve the delay issues arising from the analog current signal processing circuit (SPC) and the digital execution process, improving the control performance of the sensorless finite control set model predictive current control (FCS-MPCC) strategies used in permanent magnet synchronous motor (PMSM) drives. First, the PMSM model used for sensorless FCS-MPCC is established. Then, the mechanisms of the two kinds of delays are detailed. Third, the proposed compensation is presented. By using the pre-estimated currents, the sensorless FCS-MPCC strategy with the delays compensated is achieved. Finally, simulation is conducted to verify the effectiveness of the proposed compensation and control strategies.
The asymmetric windings of motor could lead to the rotor position and speed estimation errors in sensorless drive system, resulting in torque ripples and power loss. A dual three-phase motor has two sets of separately three-phase windings, whose winding asymmetry effects are unified by combining sensorless control method with the vector space decomposition (VSD). Based on this principle, a high-frequency (HF) square-wave voltage injection (HFSVI) based sensorless control method is realized in αβ-subspace. Then, the single phase asymmetric winding is verified to cause varying amplitudes and extra negative sequence components in responded HF currents in αβ-subspace. The severity of these two problems are discussed respectively, and they are solved by a new rotor position estimation method based on dual complex coefficient adaptive filter (DCCAF). The validity of proposed method is verified by experimental results on a prototyped dual three-phase interior permanent magnet machine (DT-IPM).
To improve the position estimation accuracy of sensorless model predictive current control (MPCC) performance for interior permanent magnet synchronous motor (IPMSM) drive system, a novel sliding mode observer (SMO) is presented in this paper. First, an exponential-based bi-power reaching law is used as the sliding mode control function to effectively improve the convergence speed of SMO and reduce the chattering. Then a zero phase shifting synchronous reference frame filter (SRFF) is introduced to replace the low-pass filter to realize the distortion free extraction of estimated back EMF. Finally, the validity of the proposed sensorless strategy is verified via experiments on a 2- kW IIPMSM drive system.
when a permanent magnet synchronous machine (PMSM) operates at high speed and frequency, it results in a crucial increase in power losses, thus, causing temperature rises in high-speed PMSM (HSPMSM), which can affect its electromagnetic and thermal performance. It’s crucial to focus on critical temperature rises in HSPMSM’s components to avoid fault or excessive machine lifetime degradation caused by thermal stresses. Hence, both electromagnetic and thermal behavior need to be estimated accurately to ensure a safe machine’s operation. In the traditional thermal study by lumped parameter thermal network model (LPTNM), the losses induced in HSPMSM by electromagnetic analysis’s prediction are comparable to the heat sources, and only the consequent thermal behavior is examined. Thus, thermal analysis of HSPMSM by single coupling of electromagnetic losses to LPTNM is less accurate. The two ways coupling approach of electromagnetic-LPTNM for HSPMSM is developed and implemented in this article, in which both the distributions of temperature and the temperature rise are estimated at steady and transient overload conditions respectively. Due to the consideration of the two-ways coupling effect, the electromagnetic and thermal characteristics could well be anticipated more precisely using a limited number of iterations between the electromagnetic and LPTNM. The experimental testing of the two-ways coupled predicted model results reveals that the suggested approach possesses superiority in both estimating performance and preciseness over traditional LPTNM, and it can be extended to different electrical machines.
Your goal as a presenter is to convey the main contribution of your paper to the audience, so that we can easily and accurately assess the contribution of the paper. Your presentation must answer: what is the research question of the paper? Why is that an important question to answer? Why hasn’t the literature arrived at a convincing answer already? How does your paper answer that question? What is the answer to the question? And: is it convincing?
This paper proposes a new fault-tolerant control for five-phase fault-tolerant interior permanent-magnet synchronous motors (FTIPMSM) with the open-end winding topology, which can ensure the smooth torque output even in phase open-circuit/short-circuit fault conditions. The fault tolerant control consists of improved optimal torque control (OTC), drag torque estimation, and deadbeat predictive current control (DBPCC). The improved OTC is proposed to generate the non-fault phase current command considering the reluctance torque, which can guarantee the constant torque output in postfault conditions. The drag torque estimation is proposed to estimate the drag torque caused by short-circuit current, which can modify the torque model in the improved OTC. The DBPCC is proposed to ensure phase current tracking performance. The resulting fault tolerant control can guarantee the excellent control performance of the five-phase IPMSM both in healthy and postfault conditions, which is also verified by simulations.
Aiming to reduce carbon emission with renewable power consumption, it is necessary to dispatch different resources and deeply simulate demand response (DR). This paper proposes a layered responsibility-assignment power trading mechanism, which assigns responsibilities to different agents, and uses digital reliability factor and award factor to measure it. Moreover, based on the proposed multi-objective model, economy, security and carbon emission reduction optimization are fully considered. When simulating demand response, the combination of Gate Recurrent Unit (GRU) and Reinforcement Learning can simplify calculation with higher accuracy. Federated Learning can protect regional data privacy and information safety when optimizing the whole system’s security. Simulation results indicate that the proposed method can promote fair trading between agents, stimulate users’ demand response more efficiently, optimize renewable energy consumption, and reduce carbon emission.
In this paper, an 8-pole integrated windings bearingless permanent magnet synchronous motor (BPMSM) with distributed winding is proposed. The stable suspension force and torque can be produced by feeding two sets of currents in different sequences to the two windings through two three-phase inverters. Firstly, the structure principle of the integrated winding is introduced. The mathematical model of the radial suspension force and torque of the integrated winding BPMSM is deduced. Then, the magnetic field distribution of the motor under two sets of current control is analyzed by establishing a finite element model. And the relationship between torque and current, suspension force and current are analyzed separately. Finally, the correctness of the integrated winding control scheme is verified by field-circuit coupling simulation analysis.
A novel Π-core dual-armature doubly salient PM machine (Π-core DADSPMM) is presented, in which an auxiliary armature winding is recommended to be wrapped on rotor teeth. Since this machine benefits from better space utilization compared to the existing Π-core doubly salient PM machine (Π-core DSPMM), it exhibits higher torque density. Moreover, when any one of both armature windings cannot work, this machine still has the ability to produce electromagnetic torque and thus has an inherent fault-tolerant feature. Firstly, machine structure and operation principles are investigated. Further, on basis of the finite element (FE) technique, both Π-core DADSPMM and Π-core DSPMM are optimized for high output torque in case of the same stator diameter, active axial length, and rated copper loss, followed by electromagnetic performance comparison. It is shown that compared to Π-core DSPMM, the proposed Π-core DADSPMM has about 67.4% higher average torque while retaining a comparable torque ripple. Furthermore, in case of failure of one set of armature winding, Π-core DADSPMM halves its output torque, which is still about 84.2% of that in the Π-core DSPMM.
To suppress the low-frequency oscillation (LFO) phenomenon in vehicle-grid coupling system, the single-phase cascaded H-bridge static synchronous compensator (CHB-STATCOM) is applied to traction network to compensate reactive power. To improve dynamic performance and robustness of the system, this paper proposes an improved sliding mode control (SMC) strategy for CHB-STATCOM. First, to completely decouple active and reactive power, the exact linearized model of CHB-STATCOM in dq frame is deduced by coordinate transformation and state feedback. Then, the voltage outer loop and the current inner loop are both designed as sliding mode control. Finally, the simulation results show that the proposed method has good control performance and LFO suppression effect.
In the presence of frequent and significant combustion variations, the motion control of the piston is a critical and challenging task for the stable operation of the free-piston linear generator (FPLG). In this respect, this paper presents a rectangular thrust control method to shape the motion characteristics of the piston by actively controlling the electromagnetic thrust of the permanent-magnet linear synchronous motor (PMLSM). The thrust magnitude of the PMLSM during the compression stroke and expansion stroke in one motion cycle is constant, with the direction changing with the piston velocity. The thrust is adjusted cycle-by-cycle based on the tracking errors of the previous cycles. The control algorithm is easy to implement with double closed-loop cascade control structure. Under the proposed method, the motion stroke, top dead center (TDC) and bottom dead center (BDC) of the piston can be precisely regulated with fast transient response and high robustness. The control effect of the proposed methods are examined through experiments under different conditions on a PMLSM-based motion platform.
In this paper, a model predictive current control method based on boundary restriction (BR-MPCC) is proposed for the medium-speed maglev train. Compared with the traditional switching frequency decreasing method based on the cost function (CF-MPCC), the proposed novel method is free from weights and without changing the cost function itself. Simulation results show that the BR-MPCC scheme reduces the maximum switching frequency more effectively than the traditional CF-MPCC scheme with a similar current distortion.
Current-source inverter (CSI) is the counterpart of voltage-source inverter (VSI) by utilizing inductor as the dc-link energy storage device. Filter capacitors are employed on the inverter output terminals to bypath the switching current harmonics. The second-order CL filter composed of capacitor and winding inductance provides better harmonic suppression performance and lower dv/dt transients, which make CSI an ideal alternative for modern machine drives. In this paper, the three-phase star and delta winding configurations are investigated by using the CSI scheme. The topology schematics are presented. The current vector space of two configurations are depicted. The comparative analysis is performed in view of the key indicators including modulation index and magnitude of dc-link voltage. Simulation is performed to verify the proposed schemes.
