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Linux on Mars: How the Perseverance Rover and Ingenuity Helicopter leveraged Linux to accomplish their mission
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An Overview of the Perseverance Mission and the Mars Sample Return Campaign (With a Touch of Ingenuity)
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Battery System Design, Testing, and Operation for the Mars Perseverance Rover and Ingenuity Helicopter
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Decoding Martian Dust: Brownout Simulations of the Ingenuity Mars Helicopter
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Lifting and transport of Martian dust by the Ingenuity helicopter rotor downwash as observed by high-speed imaging from the Perseverance rover
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An Advanced Mars Helicopter Design
Ingenuity may be the first of many Mars aerial vehicles. Rotorcraft increase the range and speed that can be traveled to locations of interest. This enables mission concepts previously considered not viable on Mars, such as missions performing science investigations in regions of high elevation, steep terrain, caves/lava tubes, and surveys of the lower atmosphere. Recent work done at NASA Ames Research Center and NASA’s Jet Propulsion Laboratory (JPL) show that significant science can be performed by rotorcraft either independently or as assistants to rovers and landers. Small rotorcraft of Ingenuity’s general size can be potentially integrated into missions already scheduled for launch. Additionally, larger rotorcraft can support standalone novel mission concepts but are still be able to be sized and configured for deployment from heritage entry, descent, and landing (EDL) systems. One such mission concept of interest is to determine if organics are associated with clay-bearing or silica-rich soil. For such a mission, a small rotorcraft “robotic assistant” to a lander or rover could help determine if ancient sediment contains biosignatures in regions such as Mawrth Vallis. Ingenuity has demonstrated that rotorcraft can be developed relatively quickly and inexpensively and increase the types and amount of science that can be performed on any given mission. Recent research has suggested that rotorcraft of Ingenuity’s general size can have their performance characteristics significantly enhanced – increasing their range, speed, and payload capacity – by using new generation rotor blade airfoils optimized for Mars operating conditions. Rotorcraft could potentially be a standard adjunct to all future lander and rover missions. This paper presents an advanced Mars helicopter design that leverages significantly the design heritage of the Ingenuity Mars Helicopter Technology Demonstrator (MHTD).
Performance Analysis and Data Processing for the Mars Sample Recovery Helicopter in the Jet Propulsion Laboratory 25-ft Space Simulator
On April 19, 2021, Ingenuity became the first helicopter to fly on Mars at Jezero Crater, completing a total of 72 flights by the end of its mission. The success of Ingenuity resulted in various research efforts to further explore Mars via vertical flight, including two optimized Ingenuity-sized helicopters proposed to retrieve samples for the 2028 Mars Sample Return mission. To aid in the design process for the two proposed Sample Retrieval Helicopters, both heritage and optimized, increased diameter rotors were tested at the NASA Jet Propulsion Laboratory in the 25-ft Space Simulator. Three test campaigns were performed using the Ingenuity rotors and optimized Sample Retrieval Helicopter (SRH) rotors for several rotor speeds, densities, configurations, and collectives to identify performance limitations. These three test campaigns included the Ingenuity Engineering Design Model 1 (EDM-1) with and without a cruciform box, Transonic Rotor Test (TRT) rig, and SRH Dual Rotor Test (DRT). Experimental setup, test matrix, data processing, data quality, and performance results for EDM-1, TRT, and DRT campaigns are presented and discussed. Experimental results from the test campaigns will aid in future experimental methods and validation efforts for planetary rotorcraft exploration.
Mars Science Helicopter: Conceptual Design of the Next Generation of Mars Rotorcraft
Robotic planetary aerial vehicles increase the range of terrain that can be examined, compared to traditional landers and rovers, and have more near-surface capability than orbiters. Aerial mobility is a promising possibility for planetary exploration as it reduces the challenges that difficult obstacles pose to ground vehicles. The first use of a rotorcraft for a planetary mission will be in 2021, when the Ingenuity Mars helicopter technology demonstrator will be deployed via the Perseverance rover. NASA’s Jet Propulsion Laboratory and NASA Ames Research Center are exploring possibilities for a Mars Science Helicopter, a second-generation Mars rotorcraft with the capability of conducting science investigations independently of a lander or rover (although this type of vehicle could also be used to assist rovers or landers in future missions). Two, large rotorcraft configurations are described: a hexacopter and a co-axial helicopter with a payload in the range of two to three kilograms and an overall vehicle mass of approximately twenty kilograms. Additionally, advancements in technology over the course of the study are applied to a rotorcraft of the same size and form as Ingenuity. Initial estimates of weight and performance were based on the capabilities of Ingenuity. Rotorcraft designs for Mars are constrained by the dimensions of the aeroshell and lander for the trip to the planet, constraining maximum rotor dimensions and, hence, overall performance potential. The effects of airfoils designed specifically for the low Reynolds number and high Mach number inherent to operation on Mars were studied. Rotor structural designs were developed that met blade frequency and weight targets, subject to material stress limits. The final designs are representative of the vehicle configurations required for a large range of future missions and will require relatively minor adaptations once science tasks are chosen. These designs will be compared to Ingenuity to demonstrate technology advancements developed during the study.
Benchmarking and Testing of Qualcomm Snapdragon System-on-Chip for JPL Space Applications and Missions
As some space missions become more challenging due to new environments, greater distances, or more limited size, weight, and power (SWaP) constraints, spacecraft avionics must adapt to allow the spacecraft to be more autonomous and agile---eliminating the Spacecraft-Earth-Spacecraft feedback loop whenever possible. Prime examples of such missions include Aerobots (such as Ingenuity with extremely low SWaP constraints and demanding signal/image processing during flight) and landers in possibly hostile environments (such as a Europa lander mission, with limited communication capacity, high latency, and constrained power budget). To address these challenges, JPL worked with Qualcomm to demonstrate the use of their Snapdragon 801 system-on-chip (SoC) onboard the Ingenuity Helicopter on Mars. The Qualcomm Snapdragon SoC contains various subsystems, including an ARM cluster, a Graphics processing unit, a Digital Signal Processing subsystem, a Neural Processing Engine, Image Signal Processing subsystem, among others. Since the success of Ingenuity, JPL is continuing to work with Qualcomm to address other applications of the Snapdragon SoC technology. This includes the deployment of two 855 Snapdragon development boards onboard the International Space Station (ISS) for successful in-situ benchmarking of applications in space (beyond those tested on Ingenuity). In this paper, we will examine the performance of various applications that have been identified to benefit from greater onboard computational capability. These applications include (among others): machine vision algorithms that are expected to be critical in autonomous entry-descent-and-landing scenarios and real-time Aerobot flight navigation; Hyperspectral compression algorithms; Synthetic Aperture Radar Processing along with various instrument processing algorithms. We discuss how the infusion of Qualcomm's Snapdragon SoC is capable of enabling missions that may not have been able to achieve their goals with traditional flight computing. In addition, we also show that for some algorithms, the software implementation on the Snapdragon SoC outperforms traditional FPGA implementations.