A5114038290- Advanced Control Systems Optimization
- Turbomachinery Performance and Optimization
- Real-time simulation and control systems
- Evolutionary Algorithms and Applications
- Aerospace and Aviation Technology
- Advanced Multi-Objective Optimization Algorithms
- Advanced Measurement and Detection Methods
- Conducting polymers and applications
- Refrigeration and Air Conditioning Technologies
- Metaheuristic Optimization Algorithms Research
- Inertial Sensor and Navigation
- Guidance and Control Systems
- Vehicle Dynamics and Control Systems
- Organic Electronics and Photovoltaics
- Perovskite Materials and Applications
- Computational Fluid Dynamics and Aerodynamics
- Heat Transfer Mechanisms
- Target Tracking and Data Fusion in Sensor Networks
- Adaptive Control of Nonlinear Systems
Dalian University of Technology
2022-2025
Beijing City University
2004
This paper proposes a new multi-objective optimization algorithm - Pareto Mind Evolutionary Computation (Pareto-MEC), which introduces the theory of into MEC for optimization. In reference algorithms Rand, VEGA, NSGA and SPEA, SPEA has superior performance. Pareto-MEC is compared with these on suit four different test problems: convexity, non-convexity, discreteness non-uniformity. On all problems, outperforms VEGA NSGA; it as good first three problems; beats last problem. Different from...
Contemporarily, perovskite solar cells have become one of the hot topics among new energy. Currently, highest photovoltaic conversion efficiency tandem has reached 29.8%. Compared with silicon-based cells, which currently occupy most market share, they a wider absorption band gap, and lower manufacturing cost simpler process, making them strong candidate to replace in future. However, commercialization it is still hampered by its poor stability. This paper reviewed state-of-art results from...
In view of the shortcomings standard Unscented Kalman Filter (UKF), such as slow convergence speed, low precision and easy divergence, state estimation problem is transformed into an unconstrained optimization problem, iterative based on method adopted. The Levenberg-Marquart nonlinear used to improve measurement update equation filtering process. Moreover, numerical simulation health parameters a certain turbofan engine carried out. Simulation results show that established model can...
Aiming at the surge and rotating stall of aero-engine compressor, this paper is concerned with design scheme backstepping sliding mode control. First, in order to solve adverse effects or stall, a compressor model steady air injection as actuator established. Next, based on basic principles control control, system designed according Lyapunov stability, appropriate parameters are selected make asymptotically stable. In end, an active stability controller algorithm designed. Finally, it...
This paper is concerned with the design scheme of state feedback controller and parameter optimization method for active stability control compressor. Firstly, linearization system compressor proved to be singular, cannot used analysis design. Next, aiming at this problem, center manifold theorem analyze stability, based on proposed in paper. After that, a projected gradient sensitivity proposed. The simulation results show that can effectively suppress instability under initial disturbance....