- Advanced Control Systems Optimization
- Adaptive Control of Nonlinear Systems
- Stability and Control of Uncertain Systems
- Fault Detection and Control Systems
- Advanced Combustion Engine Technologies
- Control Systems and Identification
- Real-time simulation and control systems
- Hydraulic and Pneumatic Systems
- Advanced Aircraft Design and Technologies
- Rocket and propulsion systems research
- Extremum Seeking Control Systems
- Advanced Algorithms and Applications
- Control and Stability of Dynamical Systems
- Iterative Learning Control Systems
- Smart Grid Security and Resilience
- Vehicle emissions and performance
- Aerospace Engineering and Control Systems
- Neural Networks Stability and Synchronization
- Advanced Sensor and Control Systems
- Aerospace and Aviation Technology
- Turbomachinery Performance and Optimization
- Combustion and flame dynamics
- Network Time Synchronization Technologies
- Model Reduction and Neural Networks
- Software-Defined Networks and 5G
Dalian University of Technology
2017-2025
Beijing Jiaotong University
2023
University of Massachusetts Amherst
2022
Dalian Ocean University
2021
Dalian University
2021
Northwestern Polytechnical University
2014-2016
Cleveland State University
2015
A multi-input, multi-output scheme based on sliding-mode control and a new switching logic is proposed for setpoint tracking in aeroengines subject to output constraints. The strategy extends existing results single-input regulators with min–max the multi-input case, attempting make full use of available actuators enhanced performance. multivariable controller used as nominal regulator, set sliding selection included protect limits when necessary. Further, an innovative predictor-based...
An accurate and reliable turbofan engine model which can describe its dynamic behavior within the full flight envelop lifecycle plays a critical role in performance optimization, controller design fault diagnosis. However, due to differences caused by tolerance of manufacturing assembly, degradation during continuously stringent environmental regulations, accuracy is severely reduced. In this paper, an adaptive modification method nonlinear Component-Llevel Model (CLM) based on Long...
This paper investigates the event-triggered trajectory tracking control for unmanned surface vessels with prescribed performance subjected to asymmetric time-varying state constraints. In order realize prescribed-time task, a function is introduced and fuzzy logic systems are adopted estimate unknown nonlinearities of USVs model. Subsequently, flexible mechanism designed minimize wastage communication resource, taking into account continuous updating actual input. A practical virtual signal...
ABSTRACT This paper focuses on the secure control design of networked systems (NCSs) under replay attacks. Mitigating attacks is a challenging task since statistical similarity between replayed signals and real observations makes them difficult to distinguish. Given persistence potential attackers probability individual attack failures, novel switching‐based model introduced. By employing this model, NCSs vulnerable can be transformed into class switching‐like systems. Within framework...
Abstract The paper investigates the event‐triggered security control of networked switched systems (NSSs) under denial‐of‐service (DoS) attacks through dual‐channel transmission. To actively defend against DoS attacks, a Stackelberg game is employed to characterize interaction between defender and attacker, with assuming role leader attacker as follower. Furthermore, simulated annealing algorithm utilized obtain equilibrium solution, from which packet loss rates dual channels are derived. In...
An adaptive model predictive controller with a new scheduling scheme for turbofan engines is proposed, which can transfer engine from one working state to the others within flight envelope. First, envelope divided into several sections according inlet parameters, and nominal points in each section are determined, respectively. Then, considering requirements of engines, constrained linear control algorithm improved, series controllers designed based on models at different points. Furthermore,...
In this paper, a distributed optimal consensus problem is investigated to achieve the optimization of sum local cost function for group agents in Euler-Lagrangian (EL) system form.We consider that each agent only known by itself and cannot be shared with others, which brings challenges problem.A novel gradient-based continuous-time algorithm parameters EL proposed, takes event-triggered control mechanism into account.A sufficient condition given show performance global convergence point can...
Engine vibration is the consequence of a combination internal forces and external forces, signals contain variety information, also it easy measurement, low cost strong robustness. Hence, one most common promising methods in fault detection area analysis which effectively used diesel engine diagnosis. In this paper, new diagnosis method for with feature extraction based on ensemble empirical mode decomposition combined support vector machine was proposed. Firstly, are first preprocessed...
This article studies a data-driven co-designing method for networked control systems under denial-of-service attacks and communication delays, using only noisy data of system trajectories instead explicit models. To this end, delay framework is first established by investigating the effect both time-varying delays. In order to reduce consumption network resource, novel dynamic event-triggering scheme proposed. The sensor time-triggered while controller actuator are event-triggered in scheme....
This paper investigates the estimate issue of complex unknowns, e.g., unmeasured load and parameter uncertainties, to improve motion control accuracy for hydraulic actuators in aero-engines. Fuzzy-logic-based estimators are designed be adaptively updated employed handle all nonlinearities, arising from aero-engine unknown aerodynamic force with a novel recursive procedure adaptive backstepping control. To reduce unnecessary bandwidth occupation networked systems, concurrent event-triggered...
Effective fault diagnosis is very important to improve the performance and safety of aero-engine fuel regulator. In this paper, a novel method based on PSO-BP neural network presented diagnose faults Firstly, nonlinear model regulator established in AMESim software. Subsequently, basis model, six typical are simulated corresponding their mechanisms, characteristic table obtained after detailed analysis. Further, diagnosis, particle swarm optimization (PSO) algorithm combined with BP network,...
This paper presents a multivariable robust adaptive control scheme for the practical application of aero-engines. The includes open-loop controller, main bumpless switching and actuator controller. Considering that controller must adapt to complex working conditions performance degradation aero-engines, model reference based on augmented Linear Quadratic Gaussian referred as LQG-MRAC, is proposed enhance robustness adaptability. Besides, investigated ensure smooth transferring from LQG-MRAC...
Aeroengine controller is a crucial and complex component aimed at pursing optimal performance while satisfying all kinds of physical operational constrains. A novel control technique, multivariate constrained predictive based on linear state space model, applied to commercial turbofan engine. To be specific, according the requirements engine, its outputs are classified into two types, controlled or constrained; they then incorporated cost function inequality constraint condition baseline MPC...
Abstract With the advancement of supersonic aero propulsion system, optimizing combined performance inlet/engine integration has become increasingly crucial. To solve coupling problem, a quasi-one-dimensional inlet modeling and drag calculation method are proposed, integrated seeking control (PSC) based on neighborhood-based speciation differential evolution-grey wolf optimizer (NSDE-GWO) is presented quantitatively analyses influence variable geometry regulation performance. The results...
Generally, asymptotic tracking motion control algorithm can ensure the stability of closed-loop system, but hardly exploits potential system performance. As an alternative, a high-accuracy method with finite-time regulation is studied in this paper for hydraulic actuators pertaining to complex unknowns and limited communication bandwidth. During modeling, actuator expressed Brunovsky form lumped disturbance term, instead conventional semi-strict-feedback form, such that be transformed...
Abstract A Min-Max structure combined with several linear limit controllers are utilized for conventional aero-engines safety control, which is complex and conservative, therefore a new nonlinear model predictive control strategy proposed that owns the ability to manage time-varying input/output limits during acceleration/deceleration transient states of aero-engines. Penalty function items constructed according characteristics limits, incorporated in cost online receding horizon...
Multivariable control has become an indispensable factor for advanced aero-engine control. Considering the fact that most multivariable techniques are model-based and accurate adaptive model of aero-engines is difficult to acquire, a scheme based on active disturbance rejection proposed. Moreover, subject all kinds limits, nonlinear limit functions put forward introduced in system. At first, framework control(ADRC) achieved, which tracking differentiator(TD) designed provide fastest...