29 research outputs found

    Benchmark Flight Scenarios for Testing Fault Tolerant Control of High Performance Aircraft

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    The Innovative Effector Concept (ICE) aircraft model is a high performance aircraft. The aircraft is over-actuated and a new control allocation algorithm has been designed previously to control this aircraft effectively: Incremental Nonlinear Control Allocation (INCA). It is unknown to what degree effector failures will affect the aircraft performance using this control algorithm. Hence, the main aim of this research is to investigate the performance of the over-actuated ICE aircraft model in presence of effector failures. New benchmark flight trajectories were defined for high performance aircraft performance testing. Autopilots were designed and tuned to automatically test all failure cases and manoeuvres. Tests of single effector failures for each flight condition and failure condition show the degradation in performance of the aircraft. Furthermore a sensitivity analysis was conducted to test the influence of aircraft state and starting conditions on the outcome of the performance for the most critical flight manoeuvre.Aerospace Engineering | Control & Simulatio

    Modelling the impacts of in-field soil and irrigation variability on onion yield

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    Globally, onion (Allium cepa L.) represents an extremely important crop in terms of production, value and consumption. Similarly, in the UK onion production is considered to be one of the most important high-value field vegetables, with ca. 300,900 tonnes being produced from 8,448 ha (DEFRA 2010). However, a great variability in onion productivity (yield) has been identified due to a combination of environmental, genotypic, management and agronomic factors. The increasing demand for high quality vegetables and their supply year round is adding significant pressure on farming enterprises, which add to the challenges UK onion producers already face (e.g. crop management, irrigation and pest control decision-making). The aim of this research was to assess the impacts of in-field soil and irrigation variability on onion yield and quality. Therefore, the scientific evidence on the relationships between onion yield, crop water use, irrigation and crop quality were initially reviewed and the evidence corroborated with data from an industry survey. In order to evaluate the effects of soils and irrigation variability on yield, under different agroclimatic conditions, a crop growth model (AquaCrop) was calibrated and then validated using experimental field data. The scientific evidence in the literature and results from the industry survey were used to validate and calibrate the AquaCrop model for brown onion (cv Arthur). Statistical analyses were used to assess crop model goodness of fit. A series of scenario were then defined and the AquaCrop model used to assess the impacts of different onion cropping practices, production areas and typical and extreme climatic conditions on crop yield. The effects of irrigation non-uniformity (typical of a boom and linear move irrigation application system) on production were assessed under a series of agroclimatic conditions (five different years) and two contrasting soil types (sandy and sandy loam). The simulations showed that the lowest yield (8.6 t DM/ha) and greatest variability (standard deviation: 0.23 t DM/ha) occurred under the driest agroclimatic conditions. Production on sandy soils resulted in higher yield (in average 0.24t DM/ha) than on a sandy loam soil. The yield under hosereels fitted with booms were statistically significant (Kruskal-Wallis analysis) lower than for the linear move, although the difference was very small (average of 9.52 t DM/ha vs. 9.56 t DM/ha). Under ‘average dry’ conditions, the highest yield was produced on sandy soils (8.78 t DM/ha), contrary to ‘average’ agroclimatic conditions, where the highest yield was produced on sandy loam soils (9.55 t DM/ha). For the driest season, the effects of irrigation variability were only significant on sandy soils (8.80 t DM/ha and 8.73 t DM/ha for hosereel fitted with linear move and boom, respectively). The study of uniform versus non-uniform irrigation applications showed that onion yield was higher under uniform irrigation. The differences between yields produced under uniform and non-uniform irrigation increased with increasing climatic aridity (0.01-0.18 t DM/ha compared to average values). Differences were greater in cases of boom application systems. Onion yield generated by simulations of uniform conditions fell within the range found in the literature. The variability observed under non-uniform irrigation was the same (up to 30-40%) as the overall variation reported by growers

    Nutraceutical antioxidant potential and polyphenolic profiles of the Zambian market classes of bambara groundnuts (Vigna subterranea L. Verdc) and common beans (Phaseolus vulgaris L.)

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    Includes abstract.Includes bibliographical references.There is a growing interest in legumes and legume based foods because of the health claims associated with their consumption. The aim of the current study was to explore the nutraceutical potential of bambara groundnuts (Vigna subterranea L. Verdc) and common beans (Phaseolus vulgaris L.) commonly grown in Zambia based on the antioxidant properties and phenolic phytochemical profiles. Two market classes of bambara groundnuts (red and brown) and four of common beans (red, grey mottled, brown and white) were screened in raw dry form. Effects of cooking and sprouting on the antioxidant activities and phenolic phytochemicals of the promising market classes were assessed. The study employed in vitro antioxidant assays (DPPH and FRAP) to screen for antioxidant properties, HPLC-PDA-ESI-MS and Folin Ciocalteu assay to screen for phenolic phytochemical profiles
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