A nonlinear adaptive controller is proposed for the exhaust gas recirculation system on large two-stroke diesel engines. The control design is based on a control oriented model of the nonlinear dynamics at hand that i...
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A nonlinear adaptive controller is proposed for the exhaust gas recirculation system on large two-stroke diesel engines. The control design is based on a control oriented model of the nonlinear dynamics at hand that incorporates fuel flow and turbocharger speed changes as known disturbances to the exhaust gas recirculation. The paper provides proof of exponential stability for closed loop control of the model given. Difficulties in the system include that certain disturbance levels will make a desired setpoint in O 2 unreachable, for reasons of the physics of the system, and it is proven that the proposed control will make the system converge exponentially to the best achievable state. Simulation examples confirm convergence and good disturbance rejection over relevant operational ranges of the engine.
The ability to transition between vertical and horizontal flight is of great importance to convertible unmanned aerial vehicles. A novel convertible UAV-a Quad Tilt Rotor UAV(QTR UAV) was designed, which could operate...
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ISBN:
(纸本)9781479947249
The ability to transition between vertical and horizontal flight is of great importance to convertible unmanned aerial vehicles. A novel convertible UAV-a Quad Tilt Rotor UAV(QTR UAV) was designed, which could operate as a quad rotor as well as an airplane by means of transition maneuver. This paper focuses on the trajectory tracking control for the hovering mode and acceleration maneuver which is the basis for the transition maneuver. First, a prototype QTR UAV was constructed to prove the concept and validate the proposed layout, which demonstrated good stability and control characteristics under manual control. Then dynamic model for full flight profile was constructed according to the first principle. A control strategy was scheduled for the transition maneuver. A nonlinear controller was designed based on dynamic inversion method. The effectiveness of the proposed control methodology was shown through numerical simulations.
A quadrotor is a typical multiple-input multiple-output (MIMO), underactuated, strong coupled nonlinear system with parameter uncertainty and unmodeled disturbance. To track the desired attitude and height, a linear a...
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A quadrotor is a typical multiple-input multiple-output (MIMO), underactuated, strong coupled nonlinear system with parameter uncertainty and unmodeled disturbance. To track the desired attitude and height, a linear active disturbance rejection control (LADRC) approach is utilized for the quadrotor control. LADRC has the capacity of estimating and compensating the generalized disturbance, and reduce the system to a unit gain double integrator, which is easily implemented and robust to environment disturbances. A simplified dynamic model of quadrotor is established using Newton-Euler equations. The design of LADRC is verified through numerical simulation and compared with PID controller. Simulation results indicate the LADRC can be used to achieve good performance in tracking the desired attitude and height.
This paper studies the formation problem for multislave teleoperation system over general communication networks,where multiple mobile slave agents are coupled with a single master robot. The forward and backward netw...
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This paper studies the formation problem for multislave teleoperation system over general communication networks,where multiple mobile slave agents are coupled with a single master robot. The forward and backward network transmission time delays are assumed to be asymmetric and *** to the quantization in the network, a dynamic quantization strategy is provided to quantize the output signals of the master robot and slave agents before transmitting. Then, a novel masterslave protocol is designed to achieve the formation task under variable time delays and quantization. Additionally, the sufficient conditions for stability are presented to show that the formation protocol can stabilize the master-slave system under variable time delays and quantization. Finally, simulation are performed to show effectiveness of the main results.
Brushless direct current (BLDC) motor is widely used in small and medium side electric vehicles as it exhibit highest specific power and thermal efficiency compared with induction motor. The permanent magnets in the r...
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In order to study high-performance pulse-width modulation (PWM) rectifier, a novel dual loop control strategy was proposed using sliding mode control and repetitive control with good anti disturbance performance in ap...
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This paper considers the problem of global output feedback stabilization via sampled-data control for a class of uncertain nonlinear systems subject to time delays. The system satisfies a lower-triangular linear growt...
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ISBN:
(纸本)9781467374439
This paper considers the problem of global output feedback stabilization via sampled-data control for a class of uncertain nonlinear systems subject to time delays. The system satisfies a lower-triangular linear growth condition with unknown growth rates. A new inductive method is first introduced to estimate the state growth in the presence of time delays and nonvarnishing nonlinearities. When only the output of the system is measurable, with the help of output domination approach, a sampled-data output feedback controller is constructed to solve the global stabilization problem. The proposed sampled-data controller is linear in structure and therefore can be easily implemented in practice.
Due to the sharp increase of the non-linear loads, the power quality lagged behind the need for an adequate power system. With a fast response, low loss, low output harmonic current, SVG has become the mainstream of d...
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In this paper, the problem of adaptive fuzzy tracking control is considered of uncertain switched nonlinear systems with an output constraint. First, a barrier Lyapunov function (BLF) is employed to deal with the outp...
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Face gender recognition is a very challenging problem in computer vision, which plays an important role in many visual applications. In this paper, we present a framework that combines the unsupervised dictionary lear...
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ISBN:
(纸本)9781467395885
Face gender recognition is a very challenging problem in computer vision, which plays an important role in many visual applications. In this paper, we present a framework that combines the unsupervised dictionary learning and supervised classifier training together to this gender recognition problem. We firstly apply sparse nonnegative matrix factorization (sparse NMF) to learn intrinsic part-based dictionary from face images in an unsupervised manner. After that we encode all the data by the learned dictionary, and train a SVM or logistic regression classifier in a supervised manner on those representations. Our experimental results show that the learned dictionaries by sparse NMF can not only capture meaningful features from the faces, but also boost the performance of the subsequent classifier in terms of classification accuracies and speeds.
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