Composite Adaptive Internal Model Control: Theory and Applications to Engine Control

To meet customer demands for vehicle performance and to satisfy increasingly stringent emission standard, powertrain control strategies have become more complex and sophisticated. As a result, controller development and calibration have presented a time-consuming and costly challenge to the automotive industry. This thesis aims to develop new control methodologies with reduced calibration effort. Internal model control (IMC) lends itself to automotive applications for its intuitive control structure with simple tuning philosophy. A few applications of IMC to the boost-pressure control problem have been reported, however, none offered an implementable and easy-to-calibrate solution. Motivated by the need to develop robust and easily calibratable control technologies for boost-pressure control of turbocharged gasoline engines, this thesis developed new control design methodologies in the IMC framework. Two directions are pursued: adaptive IMC (AIMC) and nonlinear IMC. A plant model and a plant inverse are explicit components of IMC. In the presence of plant-model uncertainty, combining the IMC structure with parameter identification through the certainty equivalence principle leads to adaptive IMC (AIMC), where the plant model is identified and the plant inverse is derived by inverting the model. We propose the composite AIMC (CAIMC), which identifies the model and the inverse in parallel, and reduces the tracking error through the online identification. ``Composite" refers to the simultaneous identifications. The constraint imposed by the stability of an n-th order model is nonconvex, and it is re-parameterized as a linear matrix inequality. The parameter identification problem with the stability constraint is reformulated as a convex programming problem. Stability proof and asymptotic performance are established for CAIMC of a general n-th order plant. CAIMC is applied to the boost-pressure control problem of a turbocharged gasoline engine. It is first validated on a physics-based high-order and nonlinear proprietary turbocharged gasoline engine Simulink model, and then validated on a turbocharged 2L four-cylinder gasoline engine on a Ford Explorer EcoBoost. Both simulations and experiments show that CAIMC is not only effective, but also drastically reduces the calibration effort compared to the traditional PI controller with feedforward. Nonlinear IMC is presented in the context of the boost-pressure control of a turbocharged gasoline engine. To leverage the available tools for linear IMC design, the quasi-linear parameter varying (quasi-LPV) models are explored. A new approach for nonlinear inversion, referred to as the structured quasi-LPV model inverse, is developed and validated. A fourth-order nonlinear model which sufficiently describes the dynamic behavior of the turbocharged engine is used as the design model, and the IMC controller is derived based on the structured quasi-LPV model inverse. The nonlinear IMC is applicable when the nonlinear system has a special structural property and has not been generalized yet. Simulations on a high-fidelity turbocharged engine model are carried out to show the feasibility of the proposed nonlinear IMC.PHDElectrical Engineering: SystemsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/136978/1/connieqz_1.pd

Pilot\u27s Handbook of Aeronautical Knowledge, 2016

The Pilot’s Handbook of Aeronautical Knowledge provides basic knowledge that is essential for pilots. This handbook introduces pilots to the broad spectrum of knowledge that will be needed as they progress in their pilot training. Except for the Code of Federal Regulations pertinent to civil aviation, most of the knowledge areas applicable to pilot certification are presented. The Pilot’s Handbook of Aeronautical Knowledge provides basic knowledge for the student pilot learning to fly, as well as pilots seeking advanced pilot certification. For detailed information on a variety of specialized flight topics, see specific Federal Aviation Administration (FAA) handbooks and Advisory Circulars (ACs). Occasionally the word “must” or similar language is used where the desired action is deemed critical. The use of such language is not intended to add to, interpret, or relieve a duty imposed by Title 14 of the Code of Federal Regulations (14 CFR). It is essential for persons using this handbook to become familiar with and apply the pertinent parts of 14 CFR and the Aeronautical Information Manual (AIM). The AIM is available online at www.faa.gov. The current Flight Standards Service airman training and testing material and learning statements for all airman certificates and ratings can be obtained from https://www.faa.gov

Development of U-model enhanced nonlinear dynamic control systems —Framework, algorithms and validation

This study aims to develop the classical model-based U-control design framework to enhance its robustness and reduce its dependence on model accuracy. By absorbing the design concepts of other advanced control algorithms, firstly, based on the discrete-time U-control algorithm, a continuous-time (CT) U-model based dynamic inversion algorithm is proposed. Then the CT U-control system design procedures are presented and explained step by step with numerical and simulation demonstrations of the linear and nonlinear U-control system design examples. Secondly, the U-control algorithm develops two mainstream nonlinear robust control algorithms, disturbances suppression and disturbances compensation, while maintaining its system dynamic cancellation characteristics, including two-degree-of-freedom U-model-based internal model control (UTDF-IMC), Disturbance observer-based U-control (DOBUC), sliding mode enhanced U-control (U-SMC) and U-model based double sliding mode control (UDSMC) algorithms. At the same time this study first developed and applied the U-control method to a practical industry application: robust quadrotor trajectory tracking control. The proposed UDSMC method and multiple-input and multiple-output extended-state-observer (MIMO-ESO) established the quadrotor flight control system. The difficulties associated with quadrotor velocity measurement disturbances and uncertain aerodynamics are successfully addressed in this control design. A rigorous theoretical analysis has been carried out to determine whether the proposed control system can achieve stable trajectory tracking performance, and a comparative real-time experimental study has also been carried out to verify the better effectiveness of the proposed control system than the classical SMC and built-in PID control system. This study is clearly novel as the methods and experiments it proposed have not been researched before

Pilot\u27s Handbook of Aeronautical Knowledge, 2016

The Pilot’s Handbook of Aeronautical Knowledge provides basic knowledge that is essential for pilots. This handbook introduces pilots to the broad spectrum of knowledge that will be needed as they progress in their pilot training. Except for the Code of Federal Regulations pertinent to civil aviation, most of the knowledge areas applicable to pilot certification are presented. The Pilot’s Handbook of Aeronautical Knowledge provides basic knowledge for the student pilot learning to fly, as well as pilots seeking advanced pilot certification. For detailed information on a variety of specialized flight topics, see specific Federal Aviation Administration (FAA) handbooks and Advisory Circulars (ACs). Occasionally the word “must” or similar language is used where the desired action is deemed critical. The use of such language is not intended to add to, interpret, or relieve a duty imposed by Title 14 of the Code of Federal Regulations (14 CFR). It is essential for persons using this handbook to become familiar with and apply the pertinent parts of 14 CFR and the Aeronautical Information Manual (AIM). The AIM is available online at www.faa.gov. The current Flight Standards Service airman training and testing material and learning statements for all airman certificates and ratings can be obtained from https://www.faa.gov

Diagnóstico de procesos industriales basado en predicción de estados funcionales con inteligencia artificial para el control y la programación de mantenimiento

RESUMEN: En este trabajo se presenta el diseño de una estrategia inteligente, para el diagnóstico automático de procesos industriales mediante la predicción con Redes Neuronales Artificiales (RNAs) y clasificación difusa. Para diseñar la estrategia de diagnóstico se utilizó información histórica del proceso. La clasificación fue implementada como herramienta para el agrupamiento difuso de patrones. Las clases fueron analizadas por el experto del proceso para generar estados funcionales. Las RNAs de configuración multicapa fueron entrenadas para predecir los estados funcionales del proceso. Las salidas en la etapa de predicción son las entradas del clasificador. En el esquema de diagnóstico propuesto los estados funcionales serán utilizados para generar las acciones preventivas antes de la transición hacia un estado de falla. La inteligencia artificial se presenta como una alternativa que al ser combinada con la ingeniería de mantenimiento permitirá el diseño de sistemas complejos y eficientes para programar acciones de tipo preventivas y predictivas sobre las máquinas en la industria. La estrategia propuesta fue implementada sobre un sistema de control convencional para la conmutación de los parámetros de control y la predicción de fallas; y sobre un sistema de producción de aire medicinal para la programación de acciones de manteniendo a partir de la predicción de estados funcionales.ABSTRACT: In this work the design of an intelligent strategy for the automatic diagnosis of processes by means of Artificial Neural Networks (ANNs) prediction and diffuse classification is presented. To design the diagnosis strategy, historical information of the process is used. The classification is implemented as a tool for the diffuse grouping of patterns. Classes are analyzed by the process expert to generate functional states. The ANNs of multilayer configuration was trained to predict the functional states of the process. The outputs in the prediction stage are the entries of the classifier. In the proposed diagnostic scheme, the functional states will be used to generate the preventive actions before the transition to a fault state. Artificial intelligence is presented as an alternative that, when combined with maintenance engineering, will allow the design of complex and efficient systems to program preventive and predictive actions on machines in organizations. The proposed strategy was implemented on a conventional control system for the commutation of the control parameters and the prediction of faults; and on a medicinal air production system for programming maintenance actions based on the prediction of functional states

Dynamics of human security and regional social and economic development: A case study of the Lake Chad basin

Philosophiae Doctor - PhDTransboundary river basins (TRBs), and its array of biodiversity, have created a web of complex security, socio-economic and political interdependencies among populations, communities and multiplicity of actors across the world. However, the continuous degradation of these vital resources, resulting from natural and anthropogenic factors, has serious implications for global development, peace and security. Indeed, it further threatens regional resource base, induce livelihoods impairment, scarcities and conflicts over the utilisation and control of strategic resources, particularly in the Global South. The study explored the causeeffect analysis of the desiccation of Lake Chad basin and the dreadful Boko Haram crisis within the prisms of human security and regional development. It reflects on the interconnections among environmental change, human development, livelihoods, conflicts and the outcomes of interventions - military and humanitarian in reconstructing human security and regional development narratives in the Lake Chad Basin. The research was contextualised within two theoretical frameworks: eco-violence, and the capability approach. This was conceived to provide an improved understanding of both the micro (individual or group interactions) and macro (large scale - national and multinational actors) development processes, the enablers and constraints of human security in the region. Their implications for regional development, security, sustainability and stabilisation process are also elucidated. Mixed-method research and a case study design was adopted to specifically study the Lake Chad impact area, covering 542,829 km2, across the four riparian countries - Cameroon, Chad, Niger and Nigeria. Although, the conventional or active basin of the lake - an estimated 984,455 km2 area was generally referenced. Purposive sampling was used to select participants for semi-structured interviews, focused group discussions (FGD) and document review. A total of 34 key informants, six (6) FGDs and 33 institutional documents (18 intervention and policy documents and 15 official bulletins) were utilised. These enable the substantiation of primary data with secondary data – qualitative and quantitative (derived from documents review). A thematic analysis of the causality of resource scarcities, livelihoods, and conflict relationships in the region was undertaken. This includes an assessment of the regional development process and the efficacies of security and humanitarian interventions in the Lake Chad Basin.The study revealed that the desiccation of Lake Chad and the destructive Boko Haram crisis (since 2009) impede development in the region. The lake’s shrinkage (estimated above 90percent from 1963 till date), caused by environmental change and unsustainable human practices or exploitation of the basin’s resources, have transboundary effects. These and the humanitarian catastrophes caused by Boko Haram menace have heightened human insecurity, and threaten communities’ fragility and transborder cooperation in the region. While regional development processes and intervention have marginal impacts on the population and their resilience capacities. Indeed, the complexity of the challenges overlaps with inconsistencies in the region’s development processes and the interventions regime – security and humanitarian management. Thus, addressing the consequences, while neglecting the root causes of human security threats in the Lake Chad Basin, further heightens the population’s deprivations amidst challenges of resource curse, geopolitics and its alteration of regional political economy. The above underscores the dialectics between human security and regional development. From these submissions, improved water resources and environmental management; inclusive development - to address the root causes of insecurity; monitoring and harnessing of national and regional development priorities; and integrated regional security-development strategy, against the military-led humanitarian approach, are recommended as critical solutions. These enhance a rethinking of human security and regional development matrix in the Lake Chad and other TRBs in the Global South. Therefore, the study highlighted the imperative of mediating exhaustive discourse on TRBs as Special Economic Zones (SEZ); constructive interactions between development processes and actors (stakeholders); the use of groundwater as a palliative; and the intrinsic mobility, multiactivity and multi-functionality of livelihoods in the Lake Chad Basin. These can be pondered in (future research and policy) discourses to enhance regional resilience, human security and sustainable development in the Lake Chad Basin