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Full-Text Articles in Engineering
Research On Control Technology Of Aeroengine Heat Exchanger, Qingyang Jiang, Song Hua
Research On Control Technology Of Aeroengine Heat Exchanger, Qingyang Jiang, Song Hua
Journal of System Simulation
Abstract: In order to solve the high temperature problem caused by the high speed of the synergistic aspirating engine, this paper designs a control algorithm for the heat exchanger. In the process of designing the control algorithm, considering the strong nonlinearity, uncertainty and strong coupling of the engine, The decoupling study of the multi-input and multi-output linear model of the heat exchanger is carried out. The decoupling effect of two different decoupling methods on the strongly coupled heat exchanger is obtained. The fuzzy decoupling PID controller has short adjustment time and overshoot. Small, conclusions with better decoupling effects.
Implementación Sistema De Supervisión Y Control Para Los Módulos De Procesos, Miguel Angel Rojas Mahecha
Implementación Sistema De Supervisión Y Control Para Los Módulos De Procesos, Miguel Angel Rojas Mahecha
Ingeniería en Automatización
En este trabajo se atiende a la necesidad de implementar un sistema de supervisión y control para las dos unidades de entrenamiento de procesos industriales de la Universidad de La Salle, las cuales están dotadas de sensores industriales de alta precisión y son utilizados en diferentes espacios académicos. Por lo tanto, se ofrece una herramienta educativa que permite llevar a cabo un cabo el diseño de diferentes técnicas de control que interactúan con las variables físicas de estos módulos. Para este fin, se empleó la sala de control y supervisión de procesos, junto con los dos módulos de entrenamiento, donde …
An Application Of Sliding Mode Control To Model-Based Reinforcement Learning, Aaron Thomas Parisi
An Application Of Sliding Mode Control To Model-Based Reinforcement Learning, Aaron Thomas Parisi
Master's Theses
The state-of-art model-free reinforcement learning algorithms can generate admissible controls for complicated systems with no prior knowledge of the system dynamics, so long as sufficient (oftentimes millions) of samples are available from the environ- ment. On the other hand, model-based reinforcement learning approaches seek to leverage known optimal or robust control to reinforcement learning tasks by mod- elling the system dynamics and applying well established control algorithms to the system model. Sliding-mode controllers are robust to system disturbance and modelling errors, and have been widely used for high-order nonlinear system control. This thesis studies the application of sliding mode control …
Comparison Of Lqr And Lqr-Mrac For Linear Tractor-Trailer Model, Kevin Richard Gasik
Comparison Of Lqr And Lqr-Mrac For Linear Tractor-Trailer Model, Kevin Richard Gasik
Master's Theses
The United States trucking industry is immense. Employing over three million drivers and traveling to every city in the country. Semi-Trucks travel millions of miles each week and encompass roads that civilians travel on. These vehicles should be safe and allow efficient travel for all. Autonomous vehicles have been discussed in controls for many decades. Now fleets of autonomous vehicles are beginning their integration into society. The ability to create an autonomous system requires domain and system specific knowledge. Approaches to implement a fully autonomous vehicle have been developed using different techniques in control systems such as Kalman Filters, Neural …
Achievements And Developments Of Hysteresis And Creep Of Pneumatic Artificial Muscles, Shenglong Xie, Haitao Liu, Jiangping Mei
Achievements And Developments Of Hysteresis And Creep Of Pneumatic Artificial Muscles, Shenglong Xie, Haitao Liu, Jiangping Mei
Journal of System Simulation
Abstract: Regarding to the problems of hysteresis and creep, the developments and achievements of the research on pneumatic artificial muscles at home and abroad are systemically reviewed. The state of the art is summarized in terms of characteristics, reasons causing, modeling and control strategies based on the hysteresis and creep modeling. The problems in recent research are analyzed and the direction for further research is put forward. The theoretical study on hysteresis and creep of pneumatic artificial muscle is limited. The hysteresis modeling needs to consider the time-varied parameters caused by creep. Neural network modeling needs to solve …