This paper proposes a continuous-time model predictive control design for disturbance rejection and set-point following of periodic signals. By assuming input disturbance in the form of sinusoid, the periodic frequenc...
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This paper proposes a continuous-time model predictive control design for disturbance rejection and set-point following of periodic signals. By assuming input disturbance in the form of sinusoid, the periodic frequency is embedded into the design model. Hence, from internal model principle, the steady-state error of the model predictive control system is ensured to be zero for both disturbance rejection and set-point following. Furthermore, with the design framework of model predictive control, hard constraints on the derivative and amplitude of the control signals are imposed as part of the performance specification. Simulation studies have been used to show the efficacy of the design with or without hard constraints.
In this paper, we have concentrated on real systems consisting of structural uncertainties and affected by external disturbances. In this regard, Sliding Mode control (S.M.C.) is utilized. To decrease energy consumpti...
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In this paper, we have concentrated on real systems consisting of structural uncertainties and affected by external disturbances. In this regard, Sliding Mode control (S.M.C.) is utilized. To decrease energy consumption, arising from chattering phenomenon, a smooth switch has been used in design procedure. Consequently, sliding equation will play a dominant controlling role in its neighborhood. The converging property of sliding motion towards the origin is a challenging issue. In this article we present a new method to prove the stability of the sliding phase which means, state trajectories on the sliding surface move toward the origin. At the beginning, the equivalent control method is reestablished such that makes this purpose accessible. The modification bounds the sliding equation to a converging set. Then to improve main factors of closed loop system, such as, transient behavior, energy consumption and the domain of attraction, the optimal control theory is used to compute the optimized sliding surface in the stabilizing set. Generally, desired surface has nonlinear terms. Finally, we propose an elaborate algorithm for computing optimized nonlinear surfaces. The designed controller is applied to a flexible-link setup. Simulation results show the efficiency of the proposed approach.
A novel dual power flow wind power generation system based on electrical variable transmission (EVT) is proposed which combines the advantages of direct-driven and non-direct-driven systems. In this paper, the princip...
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A novel dual power flow wind power generation system based on electrical variable transmission (EVT) is proposed which combines the advantages of direct-driven and non-direct-driven systems. In this paper, the principles of the dual power flow wind power generation system are presented. The dynamic model and operation modes of the double layer permanent magnet outer rotor based EVT are introduced. Furthermore, the operation processes and control strategies of the novel system are simulated and analyzed. An EVT prototype machine is designed and verified by finite element analysis (FEA).
Based on the located information and graph theory, a distributed sensor network model is introduced. The relationship between data transmission and fusion between nodes are described with Delaunay triangulation. And V...
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Based on the located information and graph theory, a distributed sensor network model is introduced. The relationship between data transmission and fusion between nodes are described with Delaunay triangulation. And Voronoi diagrams have been used in the description of coverage region of nodes. With the model, disadvantages of existing located system based on a fixed infrastructure could be overcome.
Under limited channel capacity condition, this study investigates a combined source and channel coding algorithm providing a uniform video transmission rate to achieve better system performance in wireless MIMO system...
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Under limited channel capacity condition, this study investigates a combined source and channel coding algorithm providing a uniform video transmission rate to achieve better system performance in wireless MIMO systems. In the proposed algorithm, we applied MPEG2 video source coding scheme with convolutional channel coding as well as space-time block coding techniques, associated with BPSK/QPSK modulation method, to improve video transmission performance. The proposed algorithm assigned rates to MPEG2 source code and convolutional channel code, combined with space-time block coding schemes based upon the feedback information from performance control unit (PCU) under channel capacity limitation, which ensures the given system can achieve better performance compared to a conventional system.
Oscillators with bounded delayed input are stabilized by a sliding mode control law. In the control law, sign function is replaced by high gain function to avoid chattering in the presence of time delay. A condition i...
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Oscillators with bounded delayed input are stabilized by a sliding mode control law. In the control law, sign function is replaced by high gain function to avoid chattering in the presence of time delay. A condition is developed to determine the gain. Simulation is conducted to show the effectiveness of the theoretical analysis.
This paper presents a distributed protocol for communication among autonomous underwater vehicles. It is a complementary approach for coordination between the autonomous underwater vehicles. This paper mainly describe...
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This paper presents a distributed protocol for communication among autonomous underwater vehicles. It is a complementary approach for coordination between the autonomous underwater vehicles. This paper mainly describes different methods for underwater communication. One of the methods is brute force approach in which messages are broadcasted to all the communication nodes, which in turn will broadcast the acknowledgement. Issues relating to this brute force approach are time delay, number of hops, power consumption, message collision and other practical issues. These issues are discussed and solved by proposing a new method to improve efficiency of this proposed approach and its effectiveness in communication among autonomous underwater vehicles.
Low gain feedback has found several applications in constrained control systems, robust control and nonlinear control. Low gain feedback refers to a family of stabilizing state feedback gains that are parameterized in...
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Low gain feedback has found several applications in constrained control systems, robust control and nonlinear control. Low gain feedback refers to a family of stabilizing state feedback gains that are parameterized in a scalar and go to zero as the scalar decreases to zero. Such feedback gains can be constructed either by an eigenstructure assignment algorithm or through the solution of a parametric algebraic Riccati equation (ARE). The eigenstructure assignment approach leads to feedback gains in the form of a matrix polynomial in the parameter, while the ARE approach requires the solution of an ARE for each value of the parameter. This note proposes an alternative approach to low gain feedback design based on the solution of a parametric Lyapunov equation. Such an approach possesses the advantages of both the eigenstructure assignment approach and the ARE-based approach. It also avoids the possible numerical stiffness in solving a parametric ARE and the structural decomposition of the open loop system that is required by the eigenstructure assignment approach.
This paper investigates and contrasts the use of different Bayesian networks and a fuzzy integral for real-time sensor fusion using sonar and rangefinder laser values on an ActivMedia robot. Bayesian networks have bec...
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This paper investigates and contrasts the use of different Bayesian networks and a fuzzy integral for real-time sensor fusion using sonar and rangefinder laser values on an ActivMedia robot. Bayesian networks have become increasingly popular because of their ability to capitalize on the conditional probabilities present in an influence chain. The Choquet fuzzy integral, which has primarily been used for statistical analysis, has a great power of description. Comparison of the two methods indicates that noise within the sensor network can drastically affect the accuracy of the results, especially those obtained using the Bayesian network.
The small signal model of a smart power IC is one of the most important elements for a power system design. This paper presents a measurement-based small signal modeling method for the smart power IC. This method is r...
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The small signal model of a smart power IC is one of the most important elements for a power system design. This paper presents a measurement-based small signal modeling method for the smart power IC. This method is referred to as sampling the duty cycle output and the control signal input of the smart power IC with the IC's switching frequency. The duty ratio and the control signal are converted into digital data and the data are then transferred into a computer for processing. The smart power IC's transfer function and dynamic model are finally synthesized from measurement data. The result of the modeling experiment is presented for the continuous conduction mode. The practicality and effectiveness are verified through the experiment.
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