A5101612435- Hydraulic and Pneumatic Systems
- Advanced Sensor and Control Systems
- Industrial Technology and Control Systems
- Gas Sensing Nanomaterials and Sensors
- Analytical Chemistry and Sensors
- Advanced Chemical Sensor Technologies
- Flow Measurement and Analysis
- Robotic Locomotion and Control
- Prosthetics and Rehabilitation Robotics
- Control and Dynamics of Mobile Robots
- Iterative Learning Control Systems
- Advanced Computational Techniques and Applications
- Control Systems in Engineering
- Adaptive Control of Nonlinear Systems
- Elevator Systems and Control
- Rough Sets and Fuzzy Logic
- Engineering Applied Research
- Data Management and Algorithms
- Advanced Control Systems Design
- Fault Detection and Control Systems
- Cavitation Phenomena in Pumps
- Teleoperation and Haptic Systems
- Oil and Gas Production Techniques
- Engineering Structural Analysis Methods
- Advanced Clustering Algorithms Research
Nanjing Tech University
2015-2024
Nanjing Institute of Technology
2015-2021
Karlsruhe University of Education
2004
Nonlinear friction is the main factor affecting dynamic and static performances of robotic excavator electrohydraulic servo systems. The traditional LuGre model only related to velocity. However, characteristics system are also position direction. An improved proposed describe between position, velocity direction, instability problem solved by stopping observation internal state <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">z</i> . Then,...
An electrical hydraulic control system (electro-hydraulic system) is thought to be a key component in excavator operation systems. Control methods with fixed parameters may not yield optimal performances because has various nonlinear uncertainties due the leakage and compressibility of fluid medium. Hence, novel PID controller based on improved differential evolution (IDE) introduced electro-hydraulic systems for interconnected The proposed algorithm only adjusts different working conditions...
With the development of hardware and software, pressure control construction machinery embraced new characteristics sensors' failure. In recent years, soft sensors have been widely used in for fault-tolerant controlling. To cope with failure some which cause great harm to electro-hydraulic proportional excavators accurately measure hydraulic without actual sensors, a sensor based on long short-term memory (LSTM) neural network is proposed this work. And Bayesian optimization (BO) tune...
There is considerable interest in decreasing the power consumption of available semiconductor metal oxide gas sensors. The Low-voltage and low-power sensors can be easily produced by combining micromachining thin-film technologies. concept micro-hotplate one possible solutions. Considering thermal resistant sensitive characteristics platinum, as well heat electricity insulating SiO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> SiN...
Hardness is a property that prevents forced scraping or surface penetration of material surfaces against deformation. Indeed, some methods in the tradition forecasting mechanical properties steel used to recommend new hardening forecast using profound learning model. More particularly, an Optimized Deep Convolutional Neural Network (DCNN) framework makes prediction more accurate and precise. The input given model chemical composition along with distance from quenched end, which directly...
Robotic excavators commonly are used in industrial and construction tasks to improve efficiency shorten periods, but they have high energy consumption vibration shock problems, the greatest of which is impact phenomenon contact with environment. A perfect task low precision can be achieved only by skilled operators, requires very intense concentration. Due urgent labor shortage caused pandemic, tight schedules, increasingly complex projects, it important for management an intelligent control...