Projects

University-Enterprise Cooperation Project  |  2023.06 – 2025.06
Abstract: With the rapid development of smart port infrastructure, traditional ro-ro terminals relying on manual operations can no longer meet the demands for efficiency, cost-effectiveness, and standardization, driven by increasing throughput, labor shortages, and growing operational complexity. To address these challenges, this project designs and deploys an autonomous robotic transfer system for the loading and unloading of heavy commercial vehicles. The system integrates centimeter-level precision positioning and control for high-accuracy operation, adaptive multi-mode motion planning and obstacle avoidance algorithms with four-wheel steering, and multi-robot scheduling coordinated with port terminal systems. The system has been successfully deployed at the ro-ro terminal of Yantai Port, Shandong, validating its reliability and efficiency in real-world scenarios and demonstrating the feasibility and value of intelligent robotics in advancing terminal automation.
Responsibilities: Responsible for the design and on-site deployment of docking and path-tracking algorithms, with long-term on-site presence to organize and participate in field commissioning; led the design and simulation verification of multi-robot scheduling and planning algorithms; handled the writing and organization of project documentation, and secured approval as principal investigator for one key project under the Graduate Research Level and Innovation Capability Enhancement Program based on this work.
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University-Enterprise Cooperation Project  |  2025.01 – 2025.06
Abstract: In response to the high operational costs and low efficiency of traditional field operations for special-purpose vehicles, this project, in collaboration with industry partners, develops an advanced driver assistance system for vibroseis vehicles operating in challenging environments such as mines, deserts, and unstructured terrains. The system integrates multi-sensor SLAM for robust localization, real-time terrain perception and autonomous navigation control, multi-vehicle coordination, and excitation point planning for automated operations. It significantly enhances operational safety, efficiency, and standardization under harsh field conditions, demonstrating strong applicability for intelligent transformation in geophysical exploration scenarios.
Responsibilities: Participated in the development of a multi-vehicle cooperative convoy framework; contributed to the design of multi-vehicle formation and path planning algorithms, with validation through simulation and hardware-in-the-loop experiments; responsible for the preparation and organization of technical proposals and project documentation.
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University-Enterprise Cooperation Project  |  2024.01 – 2024.12
Abstract: This project focuses on intelligent inspection technology for the water-cooled bearing housings of furnace rolls and related high-temperature equipment in continuous annealing furnaces. Traditional manual inspection suffers from low efficiency, harsh working environments, and high safety risks, making timely and accurate detection of equipment anomalies difficult. The project develops an autonomous inspection robot for the furnace zone, integrating autonomous navigation, multi-sensor perception, condition monitoring and fault diagnosis, and autonomous charging functions to achieve autonomous patrolling, condition monitoring, and anomaly detection, thereby improving the accuracy, real-time performance, and automation level of equipment monitoring while ensuring personnel safety and enhancing operation and maintenance efficiency.
Responsibilities: Organized project initiation materials and conducted solution planning; proposed path planning and control algorithms for the inspection robot; organized and completed multiple rounds of on-site deployment and commissioning to validate system performance and stability; responsible for writing the project conclusion report, organizing experimental data, and consolidating research outcomes to ensure the systematic documentation and transferability of project results.
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National Natural Science Foundation of China (General Program)  |  2023.01 – 2024.06
Abstract: To overcome the limitation of fixed recovery landing points in existing UAV systems, a dynamic docking-based mobile recovery approach leveraging a ground unmanned platform is proposed. A coordinated control framework is developed, integrating UAV localization and trajectory prediction, unmanned ground vehicle (UGV) motion tracking, and compliant capture via a parallel mechanism. This framework enables dynamic UAV recovery in complex and unknown environments, meeting the requirements of special or emergency recovery missions in both military and industrial civilian applications.
Responsibilities: Participated in the proposal development, including technical justification writing and multiple rounds of revision, systematically structuring the feasibility analysis and implementation plan; contributed to the design and simulation validation of the dynamic docking path-tracking algorithm for the unmanned ground platform, and collaboratively carried out algorithm debugging and optimization.

National Defense Science and Industry Bureau Fundamental Research Project  |  2022.09 – 2023.12
Abstract: The hydraulic viscous clutch exhibits strong nonlinearity and large hysteresis characteristics due to the coupled effects of input speed, lubricant temperature, pressure, and other factors. Under disturbances such as engine speed fluctuations and environmental variations, conventional linear control methods struggle to adapt effectively, resulting in limited speed regulation range, significant output speed fluctuations, and intense torque shocks. To address these challenges, the project develops a multi-parameter cooperative precision speed control method that enhances dynamic response and operational stability under complex operating conditions, expands the effective speed regulation range, suppresses speed fluctuations and torque shocks, and achieves smooth stepless speed regulation along with precise thermal management of the power compartment.
Responsibilities: Responsible for modeling and characteristic analysis of the hydraulic viscous speed regulation system based on experimental data, and for refining and optimizing the multi-parameter coupling model; proposed a three-loop cooperative control strategy integrating water temperature, oil pressure, and rotational speed; also undertook the writing of project conclusion materials, organization of experimental results, and consolidation of research outcomes.

Master's Thesis  |  2023
Abstract: Taking the energy-storage hydraulic wind turbine generator system as the research object, this thesis analyzes the operating principles and control requirements of the unit, establishes mathematical models and state-space equations for the wind turbine and main transmission system, and evaluates the effects of multi-source disturbances on torque and active power. A Fuzzy-PID control strategy is proposed to achieve intelligent grid-connected speed regulation. Sliding mode control combined with an RBF neural network is introduced for autonomous compensation and fast active power control, while an energy storage subsystem is incorporated to enhance control responsiveness. The feasibility and control accuracy of the proposed strategies under multiple disturbances are validated on a 30 kW hydraulic wind power experimental platform, providing experimental support for intelligent active power control of hydraulic wind turbine generator systems.
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University-Enterprise Cooperation Project  |  2021.09 – 2022.03
Abstract: This project focuses on the development of an electro-hydraulic servo channel control module, realizing functions including servo motion control, data processing, sensor signal acquisition, servo valve driving, and communication transmission. The module is integrated and deployed within a dedicated chassis, supporting independent multi-channel control for real-time control and data interaction in high-precision electro-hydraulic servo systems.
Responsibilities: Participated in the driver development for key chips including AD5754, PGA280, ADS127L01, and CH423; completed hardware testing and functional verification using serial debugging tools, and authored debugging plans and test reports; conducted functional simulation and joint debugging using Vivado, and assisted in code issue localization and system stability optimization.

University-Enterprise Cooperation Project  |  2021.05 – 2021.09
Abstract: This project involves the construction of China's first hydraulic wind turbine generator demonstration prototype. Centered on grid-connected speed control and power regulation, the project encompasses control theory research, algorithm development, and system integration and commissioning, breaking through the key technology of stable grid connection for hydraulic transmission wind turbine generator systems and achieving stable grid-connected power generation operation.
Responsibilities: Participated in the on-site electrical system setup and wiring inspection of the 30 kW hydraulic wind turbine generator unit; designed and implemented grid-connected speed regulation and active power control based on MATLAB and dSPACE ControlDesk, supporting stable power generation of the unit, and participated in system testing and performance verification.

University Strategic Cooperation Project  |  2021.01 – 2021.05
Abstract: This project involves the construction of a research and experimental platform for hydraulic wind turbine generator units, integrating wind turbine simulation, hydraulic main transmission, main control, and generator grid-connection systems. The wind turbine characteristics are simulated based on a servo motor, and the hydraulic main transmission system is constructed using a fixed-displacement pump and variable-displacement motor. The main control system employs a PLC and a Moog controller to achieve logic control and closed-loop speed/power regulation, along with generator grid-connected operation. The platform supports system modeling, control strategy validation, and performance testing.
Responsibilities: Implemented rotational speed control of the servo motor via the Moog controller using MACS software in collaboration with control engineers; completed coordinated control of the grid-connection cabinet and Shark 200 to achieve safe grid connection and active power generation control of the test bench; conducted data acquisition and processing of system speed and grid-connected active power, carried out experimental analysis, and completed the project acceptance report.

University-Enterprise Cooperation Project  |  2020.06 – 2020.12
Abstract: A mechatronic integrated simulation platform for a truck-mounted crane was developed to analyze instability issues during the slewing process. Based on given mechanism models and experimental data, a high-fidelity simulation model was established and iteratively optimized. On this basis, the mechanism underlying slewing instability was analyzed, key sources of the problem were identified, and the effectiveness of improvement measures was validated on the simulation platform. Final verification was completed through full-machine experiments.
Responsibilities: Collaborated with hydraulic engineers to complete hydraulic system modeling in AMESim and performed equivalent processing of the mechanical model to achieve mechatronic co-simulation; participated in the formulation and implementation of bench and full-machine test plans, and completed data acquisition and comparative analysis; identified the source of pressure pulsation during the slewing process based on experimental data and proposed a slewing stability control strategy.

Bachelor Thesis  |  2019 – 2020
Abstract: This graduation project addresses the increasing demand for both productivity and quality in powder compaction products driven by industrial development and policy support. Based on the task specification, a 5000 kN hydraulic press system for powder forming is systematically designed. The work begins with process flow analysis and functional decomposition, followed by hydraulic system architecture design, key parameter calculation, and optimal component selection. To enhance system integration, a modular hydraulic control scheme consisting of three valve blocks is developed, including detailed structural design and assembly implementation. A horizontal layout for the oil tank and pump station is adopted to achieve a compact configuration while improving installation accessibility and maintenance efficiency. Comprehensive engineering drawings, including hydraulic schematics, valve block part and assembly drawings, and pump station and tank layouts, are produced to fully represent and visualize the system design. The proposed system provides a practical and scalable engineering solution for powder compaction equipment.

Mechatronic System Design Course Project  |  2019
Abstract: This course project presents a novel pneumatic crawling robot driven by pneumatic and integrated with color sensing and PLC-based control, enabling multiple motion modes including forward, backward, left/right turning, and autonomous line tracking. The mechanical structure of this robot consists of a locomotion structure, a support structure, and a steering structure, completing its motion cycle through coordinated actuation of the support and locomotion cylinders, with different motion directions achieved by varying the actuation sequence. The control system manages 13 inputs (cylinders, color sensors, directional and mode buttons) and 6 outputs (solenoid directional control valves). The design tightly integrates mechanical structure, pneumatic actuation, and PLC control, resulting in a novel, easy-to-operate system with strong controllability and automation capability.
Responsibilities: Responsible for scheme optimization and technical improvement within the team, undertook physical assembly, program development, and equipment debugging, authored patent documentation, and presented the project at the final defense and result review.
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Undergraduate Innovation and Entrepreneurship Training Program  |  2018 – 2019
Abstract: Thickness measurement is critical in high-end cold-rolled strip steel production. This project, based on a supervisor-supported research program, identifies strip misalignment as the main source of measurement error through data analysis. To this end, a multi-sensor sliding rail mechanism is designed, using high-precision laser sensors arranged above and below the strip for synchronized measurement. The system enables signal digitization, real-time transmission, and multi-point data acquisition, allowing accurate reconstruction of the strip cross-section and significantly improving measurement accuracy and stability.
Responsibilities: As project leader, led the overall scheme planning and technical route design, responsible for the optimization of the mechanical structure and measurement system, organized on-line debugging and experimental validation, authored technical reports and research documentation, and presented the project at the final defense and result review.
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