Реферат. Представлено описание мехатронной системы управления механической трансмиссией 20-тонного грузового автомобиля, а также ее адаптивного алгоритма трогания с места, характер протекания переходного процесса которого существенно влияет на долговечность элементов автоматизированного силового агрегата, плавность движения и комфортность водителя при вождении. Ввиду того что мехатронная система управления силовым агрегатом, включающая дизельный двигатель, сухое фрикционное двухдисковое сцепление, основную механическую ступенчатую и дополнительную коробки передач, имеет помимо механических и пневматических также электрические компоненты, ее мультидисциплинарная модель разработана в программном пакете Imagine Lab AMESim. Данная модель позволяет отрабатывать комплексные алгоритмы управления и анализировать поведение интеллектуальных систем на ранних стадиях проектирования. Исследование выполнено на базе испытательного комплекса кафедры «Автомобили» автотракторного факультета Белорусского национального технического университета. Результаты исследования подтверждают адекватность разработанной мультидисциплинарной модели. С целью прецизионного управления фрикционным сцеплением введена обратная связь по приращению разности угловых скоростей ведущей и ведомой частей фрикционного сцепления. На основании разработанной компьютерной модели определены пороговые значения параметра обратной связи, использующиеся для программирования микропроцессорного блока при реализации адаптивного алгоритма трогания грузового автомобиля с места.
The scenario studied is a drive mission for a heavy diesel truck. With aid of an on board road slope database in combination with a GPS unit, information about the road geometry ahead is extracted. This look-ahead information is used in an optimization of the velocity trajectory with respect to a criterion formulation that weighs trip time and fuel consumption. A dynamic programming algorithm is devised and used in a predictive control scheme by constantly feeding the conventional cruise controller with new set points. The algorithm is evaluated with a real truck on a highway, and the experimental results show that the fuel consumption can be significantly reduced.
There is currently a strongly growing interest in obtaining optimal control solutions for vehicle maneuvers, both in order to understand optimal vehicle behavior and, perhaps more importantly, to devise improved safety systems, either by direct deployment of the solutions or by including mimicked driving techniques of professional drivers. However, it is nontrivial to find the right combination of models, optimization criteria, and optimization tools to get useful results for the above purposes. Here, a platform for investigation of these aspects is developed based on a state-of-the-art optimization tool together with adoption of existing vehicle chassis and tire models. A minimum-time optimization criterion is chosen to the purpose of gaining insight in at-the-limit maneuvers, with the overall aim of finding improved fundamental principles for future active safety systems. The proposed method to trajectory generation is evaluated in time-critical maneuvers using vehicle models established in literature. We determine the optimal control solutions for three maneuvers, using tire and chassis models of different complexity. The results are extensively analyzed and discussed. Our main conclusion is that the tire model has a fundamental influence on the resulting control inputs. Also, for some combinations of chassis and tire models, inherently different behavior is obtained. However, certain variables important in vehicle safety-systems, such as the yaw moment and the body-slip angle, are similar for several of the considered model configurations in aggressive maneuvering situations.
Turbo charged SI engines are a major possibility in the current trend of down-sized engines with preserved drivability performance. Considering control and supervision it is favorable to have a mean value model to be used e.g. in observer design. Such models of turbo engines are similar to those of naturally aspirated engines, but there are some special characteristics, e.g. the interconnected gas flows, the intercooler, the difference in relative sizes between the gas volumes (compared to naturally aspirated engines), the turbo, and the waste gate. Here, a model is developed with a strategy to find a model for each engine component (air filter, compressor, after cooler (or intercooler), throttle, engine, turbine, waste gate, and a lumped model for the catalyst and exhaust) as they behave in an engine setting. When investigating agreement with measured data and sensitivity of possible model structures, a number of interesting issues are raised. The experiments and the model validation have been performed on a Saab 2.3 l production engine.
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