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A control design method to address low-speed stability and handling qualities issues of helicopter slung load operations is presented. A simple model was developed using first principle physics with application of basic control techniques to understand the couple dynamics. Subsequently, a non-linear slung load model was developed and integrated with the GenHel-PSU simulation of the UH-60A. Linear model frequency responses were verified against AFDD OVERCAST models and flight data. A control architecture based on dynamic inversion was developed, combining fuselage and load state feedback. Slung load states were incorporated in feedback linearization and lagged cable angle feedback was introduced. A controller that uses only lagged cable angle feedback (and no load states in feedback linearization) was also investigated. Sensitivity to load parameter variations and optimization methodologies were considered in aiding the design process. The controller and its variations demonstrated key trade-offs between load swing damping and piloted response. The controller was robust and maintained closed-loop stability for a wide range of load mass and cable length values.
The ability of a helicopter to carry externally slung loads makes it very versatile for many civil and military operations. However, the piloted handling qualities of the helicopter are degraded by the presence of the slung load. This dissertation investigates the dynamics, handling qualities requirements, and control aspects of the helicopter/slung load system that contribute to the performance of piloted slung load operations. A control system is developed that integrates measurements of both slung load motions and conventional fuselage feedback to improve the handling qualities for hover/low speed operations. Despite the fact that this technology was developed 40 years ago, it has not been tested in a manned helicopter since the 1970s, due to problems with handling qualities and pilot perception. This dissertation leverages advances in fly-by-wire, complex control design procedures (direct multi-objective optimization), and recently developed work that relates handling qualities to dynamic response (specifications) to successfully flight test cable angle feedback technology in a manned helicopter. The key contributions of this work are developing an understanding of the handling qualities trade-offs for cable angle/rate control system design, implementing an approach to solve the problem with a novel task-tailored control system, and performing extensive piloted flight tests of the control system on a fly-by-wire Black Hawk. The flight tests demonstrated that average precision load set-down time was reduced by 50% for a light load, 30% for a heavy load, and the average handling qualities rating for the external load placement task was improved from Level 2 to Level 1 on the Cooper-Harper rating scale, a significant improvement.
Modeling, Control and Coordination of Helicopter Systems provides a comprehensive treatment of helicopter systems, ranging from related nonlinear flight dynamic modeling and stability analysis to advanced control design for single helicopter systems, and also covers issues related to the coordination and formation control of multiple helicopter systems to achieve high performance tasks. Ensuring stability in helicopter flight is a challenging problem for nonlinear control design and development. This book is a valuable reference on modeling, control and coordination of helicopter systems,providing readers with practical solutions for the problems that still plague helicopter system design and implementation. Readers will gain a complete picture of helicopters at the systems level, as well as a better understanding of the technical intricacies involved.
Helicopter slung-load operations are common in both military and civil contexts. Helicopters and loads are often qualified for these operations by means of flight tests, which can be expensive and time consuming. There is significant potential to reduce such costs both through revisions in flight-test methods and by using validated simulation models. To these ends, flight tests were conducted at Moffett Field to demonstrate the identification of key dynamic parameters during flight tests (aircraft stability margins and handling-qualities parameters, and load pendulum stability), and to accumulate a data base for simulation development and validation. The test aircraft was a UH-60A Black Hawk, and the primary test load was an instrumented 8- by 6- by 6-ft cargo container. Tests were focused on the lateral and longitudinal axes, which are the axes most affected by the load pendulum modes in the frequency range of interest for handling qualities; tests were conducted at airspeeds from hover to 80 knots. Using telemetered data, the dynamic parameters were evaluated in near real time after each test airspeed and before clearing the aircraft to the next test point. These computations were completed in under 1 min. A simulation model was implemented by integrating an advanced model of the UH-60A aerodynamics, dynamic equations for the two-body slung-load system, and load static aerodynamics obtained from wind-tunnel measurements. Comparisons with flight data for the helicopter alone and with a slung load showed good overall agreement for all parameters and test points; however, unmodeled secondary dynamic losses around 2 Hz were found in the helicopter model and they resulted in conservative stability margin estimates.