Research on high efficiency operation and intelligent control strategy of special motor in low wind speed region of wind power generation

An airfoil of insect’s wing is completely different from the conventional streamlining airfoil, and it has very thin corrugated cross section. As you can see from the flight of insects, their wings are used in the low speed region, functioning in a speed region different to the ones in which streamlining airfoil is used. Studies on the aerodynamic characteristics of the corrugated wing in the low speed region are very limited, with many aspects still remaining unknown.In order to clarify aerodynamic characteristics of corrugated airfoil in the low speed region, we have developed our own system composed of micro three-component balance and swirl-type experimental water channel, and investigated the aerodynamic characteristics of the corrugated airfoil and curved plate having smooth cross section in the low speed regions (Re=7,000 and 11,000). This investigation revealed that, in the low speed regions the aerodynamic characteristics of the corrugated airfoil was equivalent to or superior than those of the curved plate, and it was also found that the aerodynamic characteristics of the curved plate were very susceptible to the changes in Reynolds number whereas those of the corrugated wing were insusceptible to the changes. In the past, a small wind turbine has not been paid much attention as a source of alternative energy because of its low availably in low wind speed region and of its difficulty in handling it. All of these issues inherent in the small wind turbine will be solved by adopting the corrugated wing in the wind turbine. All of these findings from our investigation are reported in this paper.

INTRODUCTION: The field of mechanical engineering technology is an emerging technology field with many research directions, and there are many directions of intersection with other disciplines, among which the field of mechanical engineering has outstanding research advantages. With the continuous development of mechanical engineering technology, the research direction of mechanical engineering applied to the field of mechanical engineering is also continuously enriched and developed. Mechanical engineering research focuses on realizing the monitoring and control of the dynamic performance of mechanical systems, as well as realizing the integration of design and system control.
 OBJECTIVES: In order to improve the disassembly efficiency, reduce the disassembly cost and disassembly energy consumption, it is optimized using social engineering methods to achieve better results and reduce the disassembly cost and energy consumption.
 METHODS: Aiming at the drive and anti-skid control strategy of four-wheel hub motor, it was simulated using improved social engineering algorithms, and based on this, three road recognition algorithms were selected for low, medium, and high adhesion road verification.
 RESULTS: Through the study of automobile anti-skid control system, the basic structure of automobile anti-skid control system is summarized and some solution measures are proposed. A new type of drive anti-skid control system is proposed for the problems of high vibration and noise of automobile brake. The drive anti-slip control system is characterized by simple structure, easy maintenance, simple control and reliable operation, and high operation efficiency.
 CONCLUSION: This study shows that the system not only has excellent drive anti-slip effect, but also has good control performance. In addition, this drive anti-slip system is able to ensure the safe and reliable operation of mechanical brakes in various harsh environments. This new drive anti-slip control system is a new type of drive device that can be widely used for driving force on various mechanical brakes and drive wheels, and the study of this device is of great significance.

This paper analyzes the problems and the reasons of high frequency chattering, phase delay, unmanageable with low-speed rotation in the traditional SMO control strategy of the sensor-less control strategy of a permanent magnet synchronous motor based on the traditional sliding mode observer. Aiming at the shortcomings of the above-mentioned traditional SMO control strategy, an improved SMO control strategy is presented by replacing the signum function in the traditional synovial observer with the sigmoid function to reduce the high frequency chattering of the system. Meanwhile, the proposed improved SMO control strategy introduces an adaptive filter to eliminate harmonics and chattering, and adaptively compensates the estimated back-EMF value to reduce the estimation error caused by the phase delay. The improved SMO strategy was tested through Matlab/Simulink simulation and real experiments respectively. The results verified that the improved SMO strategy can significantly reduce chattering and phase delay and achieve good control performance at low speeds, as well as maintain good performance at full speed.

This paper describes a new sensorless vector control strategy for induction motor which can meet the requirements of constant large load torque, based on the comparative study of two observation methods for flux linkage, which are high-frequency signal injection method (HFSIM) and full order flux observer. In the low speed region, a high-frequency signal is injected, which is independent of the motor parameters. The rotor speed is identified by extracting the high frequency current. In the higher speed region, the rotor speed is obtained through full order flux observer to prevent the high-frequency torque ripple caused by HFSIM. An appropriate state switcher is proposed, in order to ensure smooth transition as the speed rises, as well as to ensure the accurate estimation of the rotor flux orientation angle within the whole speed range. The overall control strategy can output constant torque and satisfy heavily loaded condition. The experimental motor control test proves the correctness and effectiveness of the proposed strategy.

Greenhouse gases emission control in WWTS via potential operational strategies: A critical review

We study numerically the behavior of the Biham-Middleton-Levine traffic model in three dimensions. Our extensive numerical simulations show that the phase diagram for this model in three dimensions is markedly different from that in one and two dimensions. In addition to the full speed moving as well as the completely jamming phases, whose respective average asymptotic car speeds (v) equal one and zero, we observe an extensive region of car densities rho with a low but nonzero average asymptotic car speed. The transition from this extensive low average asymptotic car speed region to the completely jamming region is at least second order. We argue that this low speed region is a result of the formation of a spatially limited-extended percolating cluster. Thus, this low speed phase is present in the (n>3)-dimensional Biham-Middleton-Levine model as well.

This work is to design a high efficiency composite vertical axis wind turbine blade which is applicable to relatively low speed region. In the aerodynamic design, the parametric study is carried out to find an optimal aerodynamic configuration having high efficiency in both low and high wind speed region using the proposed design procedure. In the structural design, the blade adopts the skin-spar-foam core sandwich structure concept. The glass fabric/epoxy composite material is used for both skin and spar. The designed configuration is repeatedly modified by structural analysis results using a finite element analysis method. Finally, the strength and damage test of designed blade was conducted. In order to evaluate the test results, it was compared with estimated results. According to comparison results, the estimated results were well agreed with the experimental results.

Towards a final aim of enhancing the feasibility of low-speed sites for wind energy generation, the current study introduces the diffuser augmentation as a method of enhancing the performance of wind turbines designed for poor wind conditions. The study uses a methodology that combines the MOGAII Genetic Algorithm (GA) and Computational Fluid Dynamics (CFD) to generate a novel optimized diffuser profile out of nearly 200 geometric shapes. A case for each of the bare turbine and the diffuser-augmented turbine were modeled using 3-dimensional Reynolds Averaged Navier Stokes equations (RANS) using k-ω SST model and FLUENT solver. The performance comparison indicated an overall average rise of 28.83% in power coefficient in favor of the diffuser-augmented case. The most significant performance rise of 47.19% was found at the low-speed region corresponding to Tip Speed Ratios between 8 and 12. Through investigating the starting torque at extremely low speeds above 1 m/s, it was evaluated that the starting torque increases significantly with an average rise of 60.64% in favor of the diffuser-augmented case, the enhanced starting torque widened the operational range of the wind turbine in the low wind speed region, and reduced the lowest required speed to induce a positive moment coefficient. This significant rise in performance particularly for low wind speeds which are dominantly more frequent in the annual wind conditions, combined with the enhanced starting capabilities, resulted in an annual generated energy increase of 23.18% compared to the bare turbine.

This paper investigates the problems of the energy management and power control in a wind generation microgrid at the low wind speed region. A control strategy based on fuzzy-logic control technique is presented that decides for the operational mode of each wind generator and the proper integration to the microgrid. In particular, the developed control algorithm online decides the best-in-case scenario according to the microgrid topology and wind speed conditions for `which, when and how long' each wind turbine of a microgrid should operate at maximum power point tracking (MPPT), remain at stand-still or shut down in order to provide maximum electric energy to the grid and preserve the lifespan of the wind turbines' mechanical and electrical parts. Thus, a multivariable and multi-objective problem is managed for the low wind speed region in order to provide the best in case operational planning of the wind turbines in a microgrid. The common DC-bus topology with permanent magnet synchronous generators (PMSG) has been adopted for the microgrid of this paper; however, it can be applied to any type of microgrid topology and electrical generators. Selective simulation results are presented in order to demonstrate the satisfactory performance of the developed control system.

Sustainable integration of wind and grid resources for electric vehicles charging in low wind speed region: A techno-economic assessment

Airfoil design for large horizontal axis wind turbines in low wind speed regions

Motion control strategy for robotic arm using deep cascaded feature-enhancement Bayesian broad learning system with motion constraints.

In this paper, an interior permanent magnet synchronous motor (IPMSM) is proposed for electric vehicle (EV) traction system, which is required to be high efficiency performance and capable of wide constant-power operation under proper vector current control strategies. With the help of 2-D finite element analysis (FEA) and equivalent circuit method, with considering the limitation of battery voltage, an 80kW designed IPMSM is designed and then manufactured for test. The validity of presented motor design method and vector current prediction according to given control strategy is finally verified by test results.

Global warming is one of the major issues of current time. This can be overcome by using renewable energy in electricity production. Wind energy is an alternative to reduce greenhouse gas emission in electricity production. A comparison is done between Horizontal and Vertical Axis turbine-based WECS for better performance in low wind speed regions. Advanced Hill Climb Search MPPT and Fuzzy Logic Controller together help the WECS to extract maximum power with changes in wind velocity. WECS is studied for a standalone application in a location where rated speed of turbine cannot be reached. The fuzzy logic rules are developed to regulate the duty ratio of the switch used in boost converter. Simulation study and results comparison has been carried out to validate the superiority of wind turbines for low wind speed regions. The proposed system is developed and tested using MATLAB/Simulink.KeywordsAdvanced Hill Climb Search MPPTHAWT-based WECSVAWT-based WECSFuzzy logic controller

Experimental and theoretical investigation of micro wind turbine for low wind speed regions