The strapdown inertial navigation system (SINS) can be installed on a shearer and used for monitoring its position. However, under the complex environment of mechanized mining face, strong vibration may cause large calculation error. First, dynamic model double-drum is built with force analysis, spectrum characteristics linear angular fuselage are then obtained. Second, coning error sculling compensation models SINS derived based characteristics. Meanwhile, according to factor uncompensated...

With the extensive application of sensor technology in scientific ocean research, resource exploration, underwater engineering construction, and other fields, target positioning has become an important support for field. This paper proposes a robust algorithm that combines disadvantages distributed estimation particle swarm optimization, which can solve large localization error problem caused by uncertainties acoustic communication sampling processes. Considering presence ranging anomalies...

The accurate measurement of position and orientation for shearers is a key technology in realizing an automated, fully-mechanized, coal mining face. Since Global Positioning System (GPS) signal cannot arrive at the mine underground, wireless sensor network positioning system operate stably mine; thus strap-down inertial navigation (SINS) used to measure shearer. Aiming problem SINS accumulative error, this paper proposes error correction method based on motion constraint-aided zero velocity...

In order to improve the adaptability of mobile robot path planning algorithm, a solution for robotic method using improved genetic algorithm is proposed. this method, chromosome with variable length introduced in algorithm. addition, new fitness function and three operators are proposed study, including simplification operator, revision operator substitution operator. The results experiment show that much more adaptive feasible.

Underwater nodes are prone to drift under the water flow action, which makes topological structure of underwater wireless sensor networks (UWSNs) have great uncertainty. It is bound bring about occurrence node nonuniform distribution over time. Given obstacles and boundaries constrained areas, intention this article redeploy drifted for regaining higher coverage rate. Hence, we propose a 3-D virtual force algorithm (3D-VFCA). Inspired by physical position evolution model derived continuous...

Multi-AUV cooperative target search problem in unknown 3D underwater environment is not only a research hot spot but also challenging task. To complete this task, each autonomous vehicle (AUV) needs to move quickly without collision and cooperate with other AUVs find the target. In paper, an improved dolphin swarm algorithm- (DSA-) based approach proposed, divided into three stages, namely, random cruise, dynamic alliance, team search. proposed approach, Levy flight method used provide walk...

The accurate stable measurement of position for a shearer is key technology in realizing an automated fully mechanized coal mining face. Using as base SINS/UWB integrated positioning system, the signal interference and node damage UWB often cause invalid because bad working environment mine. Consequently, accuracy system decreases quickly, due to drift error SINS. Aiming at two styles include partial anchor failure all nodes UWB, this paper proposes using multi-model intelligent switching...

Abstract Under the action of water erosion and self-aging, reservoir dams are prone to develop cracks, which affect safe operation. Underwater visual imaging can be used detect dam surface but spalling, aquatic plants suspended sediments result in low image contrast complex backgrounds. With use unsupervised machine learning, this paper proposes a fine segmentation extraction algorithm for image-based cracks. First, adaptive histogram equalization is change uneven illumination areas...

Planetary gear is the key part of transmission system for large complex electromechanical equipment, and in general, a series degradation states are undergone evolved into local fatal fault its full life cycle. So it great significance to recognize state planetary purpose maintenance repair, predicting development trend, avoiding sudden fault. This paper proposed recognition method based on multiscale information dimension singular spectrum decomposition (SSD) convolutional neural network...

Taking mining fleet constituted by a shearer, hydraulic supports and scraper conveyor as the object, needs to move intended position in accordance with functional requirements, such machinery tracking of memory cutting shearer. This paper proposes shearer wireless positioning method under conditions inaccurate anchor nodes. First, action rules for an adaptive height adjustment strategy are arranged based on analyzing cooperative movement fleet. Second, duality mapping between local strong...

Highlights Field segmentation, path generation, and sequential point tracking algorithms were designed for agricultural mobile robots. An optimized field segmentation plan operation could be generated the robot. The algorithm guide robot to a series of target points. tested in simulation calculations practical experiments. Abstract. As production becomes increasingly intelligent, operations by autonomous robots become an inevitable trend. For some operations, such as in-field soil sampling,...

With the wide applications of Internet Things (IoT) technologies in intelligent manufacturing, production safety, smart citie, and other fields, target location awareness has been primary issue as it can be used to personnel material positioning, electronic fence settings, daily attendance statistics, so on. Wireless sensor networks (WSNs) positioning become an indispensable part these location-based IoT that benefit from ubiquitous sensing communication ability. For addressing large errors...

In order to balance the exploration and exploitation capabilities of PSO algorithm enhance its robustness, this paper presents a novel particle swarm optimization with improved learning strategies (ILSPSO). Firstly, proposed ILSPSO uses self‐learning strategy, whereby each stochastically learns from any better particles in current personal history best position ( pbest ), strategy is adjusted by an empirical formula which expresses relation between probability evolution iteration number. The...

In recent years, mobile target localization for enclosed environments has been a growing interest. this paper, we have proposed fuzzy adaptive tightly-coupled integration (FATCI) method positioning and tracking applications using strapdown inertial navigation system (SINS) wireless sensor network (WSN). The signal outage severe multipath propagation of WSN often influence the accuracy measured distance lead to difficulties with positioning. Note also that SINS are known their drifted error...

Accurate and robust positioning technology is expected to promote management level service efficiency in various industrial applications. The strap-down inertial navigation system (SINS) approach has short-term accurate performance, but the SINS known for its accumulative error over time. Meanwhile, wireless sensor networks (WSN) can keep mobile target on effective tracking after a long time monitoring, WSN may have large certain areas. In order make method allow profit from their...