Model Predictive Control for Terminal Area Energy Management and Approach and Landing for a Reusable Launch Vehicle /by Robert C. LePome II. - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Model Predictive Control for Terminal Area Energy Management and Approach and Landing for a Reusable Launch Vehicle /by Robert C. LePome II. write by Robert C. LePome II. This book was released on 2002. Model Predictive Control for Terminal Area Energy Management and Approach and Landing for a Reusable Launch Vehicle /by Robert C. LePome II. available in PDF, EPUB and Kindle.
Model Predictive Control for Terminal Area Energy Management and Approach and Landing for a Reusable Launch Vehicle
Model Predictive Control for Terminal Area Energy Management and Approach and Landing for a Reusable Launch Vehicle - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Model Predictive Control for Terminal Area Energy Management and Approach and Landing for a Reusable Launch Vehicle write by Robert Charles LePome. This book was released on 2002. Model Predictive Control for Terminal Area Energy Management and Approach and Landing for a Reusable Launch Vehicle available in PDF, EPUB and Kindle.
Model Predictive Control for Terminal Area Energy Management and Approach and Landing for a Reusable Launch Vehicle
Model Predictive Control for Terminal Area Energy Management and Approach and Landing for a Reusable Launch Vehicle - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Model Predictive Control for Terminal Area Energy Management and Approach and Landing for a Reusable Launch Vehicle write by . This book was released on 2002. Model Predictive Control for Terminal Area Energy Management and Approach and Landing for a Reusable Launch Vehicle available in PDF, EPUB and Kindle. The space industry plans to develop new reusable launch vehicles. The new vehicles will need advanced, new guidance and control systems. Since 1996 Draper Laboratory has been developing the next generation guidance and control for reusable launch vehicles in which guidance and control is integrated into one correlated system. Draper's research of integrated guidance and control originated with a single loop multivariable control scheme using time-invariant linear quadratic regulator theory. The research has since evolved into the use of model predictive control theory. The main focus of this thesis is the theory and design of model predictive control for entry of aerospace vehicles. The goal is to develop design criteria and guidelines explaining how to select the model predictive control parameters: prediction horizon, simulation rates, and weighting matrices. A secondary goal is to tightly couple an onboard trajectory generation algorithm with the model predictive controller to improve tracking performance and robustness. Favorable tracking is achieved through two model predictive control architectures, which are discussed. The first architecture has an inner loop stability augmentation system with model predictive control used as an outer loop. The second architecture replaces the inner and outer loops with a single model predictive controller. The two architectures demonstrate the flexibility of model predictive control to adapt to new vehicles; the model predictive control may be used to augment an existing inner loop or may be used as a stand-alone controller. The design focuses primarily on the architecture without a stability augmentation system.
New Methodologies for Onboard Generation of Terminal Area Energy Management Trajectories for Autonomous Reusable Launch Vehicles
New Methodologies for Onboard Generation of Terminal Area Energy Management Trajectories for Autonomous Reusable Launch Vehicles - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook New Methodologies for Onboard Generation of Terminal Area Energy Management Trajectories for Autonomous Reusable Launch Vehicles write by Andrew Clay Grubler. This book was released on 2001. New Methodologies for Onboard Generation of Terminal Area Energy Management Trajectories for Autonomous Reusable Launch Vehicles available in PDF, EPUB and Kindle.
Model Predictive Control for Ascent Load Management of a Reusable Launch Vehicle
Model Predictive Control for Ascent Load Management of a Reusable Launch Vehicle - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Model Predictive Control for Ascent Load Management of a Reusable Launch Vehicle write by Andrew Allen Martin. This book was released on 2002-06-01. Model Predictive Control for Ascent Load Management of a Reusable Launch Vehicle available in PDF, EPUB and Kindle. During the boost phase of ascent, winds have a significant impact on a launch vehicle's angle of attack, and can induce large structural loads on the vehicle. Traditional methods for mitigating these loads involve measuring the winds prior to launch and designing trajectories to minimize the vehicle angle of attack (0). The current balloon-based method of collecting wind field information produces wind profiles with significant uncertainty due to the inherent time delays associated with balloon measurement procedures. Managing the mission risk caused by these uncertain wind measurements has always been important to control system designers. This thesis will describe a novel approach to managing structural loads through the combination of a Light Detection and Ranging (LIDAR) wind sensor, and Model Predictive Control (MPC). LIDAR wind sensors can provide near real-time wind measurements, significantly reducing wind uncertainty at launch. MPC takes full advantage of this current wind information through a unique combination of proactive control, con-traint integration and tuning flexibility. This thesis describes the development of two types of MPC controllers, as well as a baseline controller representative of current control methods used by industry. A complete description of Model Predictive Control theory and derivation of the necessary control matrices is included. The performance of each MPC controller is compared to that of the baseline controller for a wide range of wind profiles from both the Eastern and Western U.S. Test Ranges. Both MPC controllers are shown to provide reductions of greater than 50% in 0, Qo and structural bending moments. In addition, the effects of wind measurement delays and uncertainty on the performance of each controller are investigated.
