Use of Consumer-Grade MEMS Inertial Sensors for Accurate Attitude Determination of Drones

Alteriis, Giorgio de; Conte, Claudia; Moriello, Rosario Schiano Lo; Accardo, Domenico

doi:10.1109/metroaerospace48742.2020.9160134

Cited by 27 publications

(9 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is also noteworthy that in some locations partial blending of materials was observed at the interfaces. This could be attributed to the Marangoni effect at the bottom of the melt pool [11], which may lead to irregularities in hardness profile, as it can be seen in this image. The adhesion between materials and the effect of hardness were studied in the next stages of the research by performing a static mechanical test.…”

Section: Flange Char Flange Charact Acterization Erizationmentioning

confidence: 70%

Direct Laser Deposition for Tailored Structure

Silvestri¹,

Amirabdollahian²,

Perini³

et al. 2021

Esaform 2021

View full text Add to dashboard Cite

In the context of Industry 4.0, interest is increasing towards Additive Manufacturing processes due to their several advantages. Among these, the Direct Laser Deposition (DLD) is an innovative technology for additive metal part fabrication, and it is currently demonstrating its ability to revolutionize the manufacturing industry. It is particularly interesting for industrial applications in terms of reduction of waste materials by starting with fewer feedstocks, reduction of machining time by only have material where it is needed but, above all, it is interesting to extend the life of parts. Indeed, with the DLD, it is possible to repair an item or coat parts via cladding, making it more wear-resistant. It is also possible to give "another life" to broken or waste components, for example, by replacing the damaged area using new material. Moreover, particularly intriguing is the possibility to create hybrid or graded parts by varying material/alloy concentrations. This paper aims to combine the abovementioned advantages to develop tailored structures in order to accomplish complex and functional products. For this purpose, a specific case study was investigated, starting with the study of the appropriate powders to use and ending with the printing process using the DMG Mori Lasertec65. Microstructural and mechanical analyses were carried out to evaluate the products and to validate the process. The final results show the properties and performances of products obtained using this technology.

show abstract

Section: Flange Char Flange Charact Acterization Erizationmentioning

confidence: 70%

Direct Laser Deposition for Tailored Structure

Silvestri¹,

Amirabdollahian²,

Perini³

et al. 2021

Esaform 2021

View full text Add to dashboard Cite

show abstract

“…The role of the update gate z t is to control how much information can be brought into the current state from the previous state of the unit. The update gate is computed by expression (2).…”

Section: Algorithm a Gru And Deep Gru 1) Grumentioning

confidence: 99%

“…Advances in the MEMS have made it possible to produce MEMS inertial sensors that measure angular velocity and acceleration. They have the advantages of small size, light weight, low cost, and low power consumption and have been widely used in aerospace, healthcare, gait analysis, sport science, activity recognition, and portable devices [1], [2], [3], [4], [5], [6], [7], [8], [9]. Since the mechanical structure of MEMS inertial sensors inevitably changes with heat, their performance changes drastically with temperature.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Temperature Drift Compensation Method of a MEMS Accelerometer Based on Deep GRU and Optimized Monarch Butterfly Algorithm

Guo

Rui-Chu

et al. 2023

IEEE Access

View full text Add to dashboard Cite

In recent years, inertial sensors based on Micro-Electro-Mechanical Systems (MEMS) have become increasingly popular. They have been widely used in various fields due to their low cost, small size, and low power consumption. It seems that MEMS inertial sensors may eventually fully occupy the middle to lower end inertial navigation application market that traditional inertial sensors previously occupied. To realize the full potential of MEMS inertial sensors, one of the critical issues is their temperature drift. This paper first proposed a recursive model for real-time compensation. Then three algorithms were proposed, including a two-layer deep gated recurrent unit recurrent neural network (GRU-RNN, short GRU), deep GRU based on monarch butterfly algorithm (MBA), and deep GRU based on optimized monarch butterfly algorithm (OMBA). Each of these three algorithms is combined with the real-time compensation model to compensate for the temperature drift of a MEMS accelerometer. The experimental results proved the correctness of these three methods, and the MEMS accelerometer's temperature drift is compensated effectively. The results indicate that the deep GRU + OMBA shows the best performance for the temperature drift compensation combined with the real-time compensation model. After deep GRU + OMBA method compensation, the angle random walk, the bias instability, the rate random walk, and rate ramp of the MEMS accelerometer were improved from 4.97e −4 mg • s 1 2 , 4.90e −4 mg, 5.57e −5 mg/s 1 2 , 1.82e −6 mg /s to 3.90e −5 mg •s 1 2 , 1.07e −5 mg, 1.12e −6 mg/s 1 2 , 3.59e −8 mg /s, respectively. Their percentage of improvement reaches 96.50% on average. INDEX TERMSDeep GRU, MEMS accelerometer, real-time compensation, OMBA, temperature drift.

show abstract

“…The dependence of the state estimates quality on parameters defining noise conditions of sensors outputs is known to be one of the most important issues associated with Kalman filtering. To suitably determining their values, different approaches can be pursued; stemming from their past experience [ 27 , 28 ], the authors exploited the Allan variance to gain the values of interest.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Performance Enhancement of Consumer-Grade MEMS Sensors through Geometrical Redundancy

Alteriis

Accardo

Conte

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

The paper deals with performance enhancement of low-cost, consumer-grade inertial sensors realized by means of Micro Electro-Mechanical Systems (MEMS) technology. Focusing their attention on the reduction of bias instability and random walk-driven drift of cost-effective MEMS accelerometers and gyroscopes, the authors hereinafter propose a suitable method, based on a redundant configuration and complemented with a proper measurement procedure, to improve the performance of low-cost, consumer-grade MEMS sensors. The performance of the method is assessed by means of an adequate prototype and compared with that assured by a commercial, expensive, tactical-grade MEMS inertial measurement unit, taken as reference. Obtained results highlight the promising reliability and efficacy of the method in estimating position, velocity, and attitude of vehicles; in particular, bias instability and random walk reduction greater than 25% is, in fact, experienced. Moreover, differences as low as 0.025 rad and 0.89 m are obtained when comparing position and attitude estimates provided by the prototype and those granted by the tactical-grade MEMS IMU.

show abstract

Use of Consumer-Grade MEMS Inertial Sensors for Accurate Attitude Determination of Drones

Cited by 27 publications

References 14 publications

Direct Laser Deposition for Tailored Structure

Direct Laser Deposition for Tailored Structure

Real-Time Temperature Drift Compensation Method of a MEMS Accelerometer Based on Deep GRU and Optimized Monarch Butterfly Algorithm

Performance Enhancement of Consumer-Grade MEMS Sensors through Geometrical Redundancy

Contact Info

Product

Resources

About