Artificial neural network control

This research focuses on the integration of a radial basis function neural network (RBFNN) for uncertainty approximation in pneumatic artificial muscle (PAM) systems within the framework of power rate exponential reaching law sliding mode control (PRERL-SMC). Configured in an antagonistic manner, PAMs provide a range of benefits for developing actuators with human-like characteristics.

9p vimichaelfaraday 14-12-2023 9 4   Download

In this paper, an artificial neural network (ANN) model was applied to forecast PM2.5 at the Coc Sau open–pit coal mine (Northern Vietnam) with fine–tuning parameters. It aims to provide the feasibility and insights into controlling air quality in open–pit mines using artificial intelligence techniques.

8p viironman 02-06-2023 8 3   Download

This paper proposed a new model of emergency controls load shedding based on the fast identification of the unstable state of the power system. K-means clustering algorithm divided the instability mode into the clusters. The results of analysis of this cluster were used as the basis for classification control.

9p vidoctorstrange 06-05-2023 4 1   Download

This paper confirms the practical effect of applying Artificial Neural Networks (ANNs) using Radial basis function (RBF) bases on Sliding mode control (SMC) to control nonlinear systems. The proposed algorithm is put into comparison with the super twisting 2-SMC, which was designed to reduce chattering and increase the performance of conventional SMC.

7p vidoctorstrange 06-05-2023 9 5   Download

In this article, the authors use three control algorithms on the inverted wedge, including of LQR, Fuzzy Control and neuro-fuzzy. Simulation results show that all methods can balance the inverted wedge.

8p vidoctorstrange 06-05-2023 8 2   Download

Bài viết Tổ hợp lồi giữa mạng nơ ron nhân tạo liên kết chức năng và chuỗi fourier mở rộng cho hệ thống kiểm soát tiếng ồn chủ động đề xuất bộ điều khiển mới cho ứng dụng kiểm soát tiếng ồn chủ động (ANC: active noise control) dựa trên tổ hợp lồi giữa mạng nơ-ron nhân tạo liên kết chức năng FLANN (Functinal Link Artificial Neural Networks) và chuỗi Fourier mở rộng EMF (Even Mirror Fourier), và được gọi tên là CFLANN-EMF (Convex FLANN-EMF).

5p viwmotors 02-12-2022 7 4   Download

Nowadays, the use of freight robots in factories will help people reduce their labor force and move into difficult and dangerous places more easily. Only smart robots will help people move equipment, goods to destinations that have been designed to own lanes in factories or remotely control these cargo robots to move following the demands of the controller.

8p vimelindagates 18-07-2022 13 7   Download

The paper presents a new approach to the speed control of a switched reluctance motors (SRM) is that using a back-stepping controller combining with an artificial neuron network based flux estimator. The nonlinear mathematical model of switched reluctance motor (SRM) is established and the back-stepping control strategy is applied to control SRM. The ANN will be used to estimate the flux of the motor instead of approximated model or experimental values.

12p guitaracoustic02 08-12-2021 28 1   Download

This paper presents the power plant systems in Vietnam, when making connections between the plants and the national grid system, the paper introduces the current conventional power source and control method. and since then build intelligent control method and apply it in practice today.

4p viwilliamleiding 09-12-2021 10 1   Download

The purpose of the topic Researching and building models of regional-linked hydropower turbine speed control system. Research on building regional-linked hydroelectric turbine speed control system on the basis of fuzzy logic and artificial neural networks to improve control quality.

27p hobbsandshaw 09-06-2021 26 3   Download

In this paper, a robust hierarchical method for trajectory tracking control of a quadrotor unmanned aerial vehicle (UAV) subjected to parameter uncertainties and external disturbances is presented. A robust control scheme based on a fast nonsingular terminal sliding mode strategy is designed to achieve fast response and excellent tracking accuracy. Moreover, a radial basis function artificial neural network with online adaptive schemes to estimate unknown aerodynamic parameters and external disturbances is developed to improve the control performance and reduce the chattering phenomenon.

6p cothumenhmong11 05-05-2021 15 3   Download

The paper introduces fuzzy compensation control algorithm based on fuzzy logic to control the rotation speed in CБШ-250T drilling machine. The proposed solution uses an artificial neural network instead of a vibration measuring sensor to identify the amplitude and vibration frequency on a rotary drill. The vibration amplitude, vibration frequency and setpoint of the drilling speed are the input variables for the fuzzy logic unit.

7p cothumenhmong9 12-01-2021 17 3   Download

This data is highly desirable to design controllers that have robust and consistent control characteristics and can find applications in search – rescue operations. AI-based neural network is set up for helipad detection, followed by optimization by the localization algorithm. The performance of this approach is compared against fiducial marker approach, demonstrating good consensus between two estimations.

12p kequaidan8 02-11-2020 12 1   Download

Forecasting of stream flow and ground water level changes became an important component of water resources system control and challenging task for water resources engineers and managers. The ground water level data and rainfall data of twenty years from 1996 to 2015 were collected. Artificial neural network (ANN) is used to predict water resources variable. The model was trained, validated and tested for randomly divided samples. The regression analysis shows good correlation between each other within the range 0.12 to 0.97 of Abhanpur block.

8p kethamoi4 16-04-2020 21 2   Download

Currently, in Vietnam electricity market, hydropower plants still account for a large proportion approximately 38%. Thus, study on control problems of the hydropower plants plays an extremely important role. Load – frequency control is one of the most significant control problems. Major objectives of such a control strategy are to focus on maintaining the system frequency at a nominal value (50Hz in Vietnam) and the tie-line power interchange at a scheduled value.

12p covid19 03-03-2020 47 2   Download

This paper introduces such two typical controllers based on artificial neural networks, namely ANN-based NARMA and ANN- based MRAC. Numerical simulation results obtained by such two controllers when solving the LFC of a twocontrol-area interconnected hydropower grid have verified the feasibility and superiority of the proposed control strategies.

12p covid19 03-03-2020 30 1   Download

The paper presents an analysis of roadway factors and posted speed limits that affect the operating speed at multi-lane highways in Egypt. Field data on multi-lane highways in Egypt are used in this investigation. The analysis considers two categories of highways. The first consists of two desert roads (Cairo–Alexandria and Cairo–Ismailia desert roads) and the second consists of two agricultural roads (Cairo–Alexandria and Tanta–Damietta agricultural roads). The paper includes three separate relevant analyses.

9p kethamoi1 17-11-2019 12 0   Download

A new method for predicting the service life of tunnel structures subject to chloride-induced corrosion using data from real engineering examples and genetic programming (GP) is proposed. As a datadriven method, the new approach can construct explicit expressions of the prediction model. The new method was verified by comparing it with the chloride-ion diffusion model considering eight corrosion influence factors.

12p trinhthamhodang1 14-11-2019 12 1   Download

This paper deals with an identification model control system using recurrent neural networks to estimate the angle main mirror in azimuth moving of large radio telescope electric servo drive. The architectural approached to design recurrent neural networks based on “Nonlinear Auto Regressive with Exogenous inputs – NARX models” is analyzed. It is convenient to apply this design in the field of prediction and modeling control system.

6p visumika2711 17-07-2019 28 1   Download

The thesis aims to propose some control techniques for mobile target Robot-camera. After that, I studied some of the torque control techniques of joints for the Robot-camera system sticking to the mobile target and the Robot-camera system, paying attention to the motivating motor sticking to the mobile target. Finally, the author also proposed some control algorithms for Robotic-camera arm system with irregular model, external noise and preventing system degradation, using nonlinear sliding controller (TSMC) in combination with Artificial neural networks to estimate uncertain numbers.

31p xacxuoc4321 09-07-2019 26 2   Download