Optimal four quadrant speed control of switched reluctance motor with torque ripple reduction based on EM-MOPSO

Borujeni, Mojtaba Mansouri; Rashidi, Amir; Nejad, Sayed Morteza Saghaeian

doi:10.1109/pedstc.2015.7093293

Cited by 12 publications

(5 citation statements)

References 19 publications

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“…Multi-objective optimization (MOP) problems can generally be defined as the optimization problem of jointly optimizing multiple objective functions under given constraints. The definition of multi-objective optimization can be expressed in the following standard form [ 31 ]:

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Section: System Architecture and Algorithm Designmentioning

confidence: 99%

End-Cloud Collaboration Navigation Planning Method for Unmanned Aerial Vehicles Used in Small Areas

Huagang

et al. 2023

Sensors

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Unmanned aerial vehicle (UAV) collaboration has become the main means of indoor and outdoor regional search, railway patrol, and other tasks, and navigation planning is one of the key, albeit difficult, technologies. The purpose of UAV navigation planning is to plan reasonable trajectories for UAVs to avoid obstacles and reach the task area. Essentially, it is a complex optimization problem that requires the use of navigation planning algorithms to search for path-point solutions that meet the requirements under the guide of objective functions and constraints. At present, there are autonomous navigation modes of UAVs relying on airborne sensors and navigation control modes of UAVs relying on ground control stations (GCSs). However, due to the limitation of airborne processor computing power, and background command and control communication delay, a navigation planning method that takes into account accuracy and timeliness is needed. First, the navigation planning architecture of UAVs of end-cloud collaboration was designed. Then, the background cloud navigation planning algorithm of UAVs was designed based on the improved particle swarm optimization (PSO). Next, the navigation control algorithm of the UAV terminals was designed based on the multi-objective hybrid swarm intelligent optimization algorithm. Finally, the computer simulation and actual indoor-environment flight test based on small rotor UAVs were designed and conducted. The results showed that the proposed method is correct and feasible, and can improve the effectiveness and efficiency of navigation planning of UAVs.

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…”

Section: System Architecture and Algorithm Designmentioning

confidence: 99%

End-Cloud Collaboration Navigation Planning Method for Unmanned Aerial Vehicles Used in Small Areas

Huagang

et al. 2023

Sensors

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“…The switching angles can be utilized to dominance the copper loss, average of the torque, and torque ripple for a stable working of the SRM. A considerable number of approaches to optimize switching angles have been documented in earlier works [33][34][35]. The conduction angle is the difference between switching angles.…”

Section: Converter Topology and Optimization Turn-on And Turn-off Anglementioning

confidence: 99%

“…where θ an , θ un and τ s are the aligned, unaligned angles, and the stator pole pitch, respectively. According to the performance requirements of the 72/48 SRM, we recommend the application of Equations (34) and (35) to obtain the optimum values of switching angles. The efficiency, torque and torque ripple for turn-on angles in the range of 2.5 • to 5 • turn-off angles in the range of 5 • to 7.5 • are presented in Figure 7.…”

Section: Converter Topology and Optimization Turn-on And Turn-off Anglementioning

confidence: 99%

Design and Experimental Verification of a 72/48 Switched Reluctance Motor for Low-Speed Direct-Drive Mining Applications

Elhomdy

Liu

et al. 2018

Energies

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Typically, a geared drive system is used to connect an induction motor of 1500 rpm with a Raymond Pulverizer of 105 rpm in mining applications. This system suffers from low efficiency and a heavy motor drive. This paper proposes a novel design of a 75 kW, 72/48 switched reluctance motor (SRM) for a low-speed direct-drive as for mining applications. The paper is focused on the design and comparative evaluation of the proposed machine in order to replace a geared drive system whilst providing a high torque low-speed and direct-drive solution. The machine performance is studied and the switching angle configuration of the machine is also optimised. The efficiency of the whole drive system is found to be as high as 90.19%, whereas the geared induction motor drive provides only an efficiency of 59.32% under similar operating conditions. An SRM prototype was built and experimentally tested. Simulation and experimental results show that the drive system has better performance to substitute the induction motor option in mining applications. Power [kW] 75 Weight [Kg] 678 Voltage [V] 400 The gear system outer diameter [mm] 1000 Current [A] 128 The gear system stack length [mm] 340 Frequency [Hz] 50 The output speed of a gear system [rpm] 105 Power factor at full load 0.9 The efficiency of a gear system [%] 62.98 Rate Speed [rpm] 1488 The total weight of a gear drive system [kg] 1050 Rate torque [N·m] 481 The total efficiency of a gear drive system [%] 59.32 Efficiency at full load [%] 94.2

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“…A neural network based system [18] has been proposed to update the stored current profile with the objective of reducing torque ripple. An adaptive fuzzy neural network has been used in [19], Mansouri Borujeni et al [20] use a particle swarm optimisation based approach to optimise controller gain, turn on and turn off angles. These methods require offline inductance measurement and intensive computation.…”

Section: Introductionmentioning

confidence: 99%

Torque ripple minimisation of switched reluctance motor using sense coils

Reddy

Vemula

Keerthipati

2020

IET Electric Power Applications

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Switched reluctance motor (SRM) offers several advantages compared to conventional motors such as low cost, rugged design and good high-speed performance. Torque ripple and the associated acoustic noise and vibrations have been a challenge for its application in low and medium power applications. The torque ripple is due to double salient structure and nonlinear magnetic characteristics of the machine. This study presents a sense coil system to measure instantaneous inductance that represents the non-linearity and saturation effects. The current profile is generated from the measured inductance to minimise the torque ripple and reduce the copper losses. The speed of motor is derived from the measured inductance thereby eliminating need for an external sensor. The effect of temperature and asymmetries in machine construction are compensated due to the dynamic nature of inductance measurement. The proposed method is implemented on a SoC FPGA to control the speed of SRM with reduced torque ripple.

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Optimal four quadrant speed control of switched reluctance motor with torque ripple reduction based on EM-MOPSO

Cited by 12 publications

References 19 publications

End-Cloud Collaboration Navigation Planning Method for Unmanned Aerial Vehicles Used in Small Areas

End-Cloud Collaboration Navigation Planning Method for Unmanned Aerial Vehicles Used in Small Areas

Design and Experimental Verification of a 72/48 Switched Reluctance Motor for Low-Speed Direct-Drive Mining Applications

Torque ripple minimisation of switched reluctance motor using sense coils

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