Thinking innovation is one of important driving forces to promote scientific and technological progress. Information technology can help humans to brainstorm as many potential ideas and methods as possible for given p...
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Thinking innovation is one of important driving forces to promote scientific and technological progress. Information technology can help humans to brainstorm as many potential ideas and methods as possible for given problems so as to inspire their creative thinking. Knowledge graph provides a structural method to storage human prior knowledge described by concepts and relationships between them in a graph way. The frame and models of Probability Construction Space Theory(PCST) explained the mechanism of human creative thinking and procedure of new ideas generation. Our research work explores generation of new potential methods of detecting and perception geophysical information through simulating the creative thinking of new ideas of aircraft guidance based on the combination of theory and technology of knowledge graph and PCST. One experiment software system has been built to verify feasibility of this novel cognitive model and simulation method presented in our research work.
In this paper, a novel finite-Time decoupling direct control (FDDC) scheme is proposed for attitude tracking problem of hypersonic reentry vehicle (HRV) based on second-order active disturbance rejection control (SADR...
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PurposeThe purpose of this paper is to propose a new control strategy based on adaptive inverse control aiming at high performance control of permanent magnet synchronous motor (PMSM).Design/methodology/approachThis s...
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PurposeThe purpose of this paper is to propose a new control strategy based on adaptive inverse control aiming at high performance control of permanent magnet synchronous motor (PMSM).Design/methodology/approachThis scheme adopts the vector control with double closed-loop structure and introduces a multi-dimensional Taylor network (MTN) inverse control method into velocity-loop. First, the invertibility of PMSM's mathematical model is proved. Second, a novel dynamic network (MTN) is presented, which has simple structure and faster computing speed. Besides, to realize the high-precision speed control, three MTNs are applied to achieve system modeling, inverse modeling and noise disturbance elimination which correspond to the function of the adaptive identifier, adaptive feed-forward controller and nonlinear adaptive filter, *** scheme is designed with the full consideration of the PMSM's particularity. For the PMSM's unknown dynamics and time-varying characteristics, the variable forgetting factor recursive least squares algorithm is adopted to improve identification ability, and the weight-elimination algorithm is used to remove redundant regression items in the MTN identifier and inverse controller. In addition, to reduce the influence arose from measurement noise and other stochastic factors, adaptive MTN filter is introduced to eliminate noise disturbance. The computational results show that the proposed scheme possesses excellent control performance and better robustness against the load ***/valueThe paper presents a new inverse control scheme with MTN which is practical and flexible, and the MTN-based control system is very promising for real-time applications.
Model Predictive control (MPC) is an advanced strategy for the control of multi-variable and constrained dynamical systems. Tube-based MPC is a robust control technique that handles uncertainties present in the model....
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ISBN:
(纸本)9781509045839
Model Predictive control (MPC) is an advanced strategy for the control of multi-variable and constrained dynamical systems. Tube-based MPC is a robust control technique that handles uncertainties present in the model. Since full state information is seldom available in practical systems, the estimation error must also be taken into account in addition to model uncertainties to achieve closed-loop stability and constraint satisfaction despite estimation and model errors. In this paper, we propose a novel strategy for the design of a tube-based output feedback MPC which is independent of the estimation method employed. We formulate a control policy by choosing a candidate estimate that is consistent with the reachable sets of the system under control. The proposed method can be combined with any estimation scheme as long as the assumed error bounds are satisfied. We show that the proposed method is recursively feasible, robustly exponentially stable, and performs better than other available strategies.
In this study, a Lyapunov Equation based stability mapping approach is proposed for MIMO systems in order to determine stability regions. Since the proposed approach is independent of the controller type and the numbe...
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A novel type of control scheme compositing an online tracking method and disturbance-observer is proposed for a hypersonic cruise vehicle with kinds of disturbances including flexible states, aerodynamic uncertainties...
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ISBN:
(纸本)9781509009107
A novel type of control scheme compositing an online tracking method and disturbance-observer is proposed for a hypersonic cruise vehicle with kinds of disturbances including flexible states, aerodynamic uncertainties, unmodeled dynamics and external disturbance. The online control method is provided on the basis of using aeropropulsive as well as elevator-to-lift couplings to design the controller without strategically neglecting or reducing the nonminimum-phase characteristic. Through an ingenious transformation, the control commands and reference trajectories are obtained simultaneously. The flexible dynamics on the pitch-rate tunnel is estimated by a state observer. A nonlinear disturbance observer is designed to estimate the disturbance and enhance the robustness of the composite scheme, then all kinds of disturbances are compensated or rejected effectively.
State estimation is a core objective in cyber-physical systems. In the state estimation problem over linear systems, the Kalman filter is the standard solution. The filter is the format on which the solutions to subse...
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ISBN:
(纸本)9781509045839
State estimation is a core objective in cyber-physical systems. In the state estimation problem over linear systems, the Kalman filter is the standard solution. The filter is the format on which the solutions to subsequent estimation problems are based. Among these problems are the estimation problem in the presence of packet drops and estimation problem involving event-based triggers. We study in this paper both phenomena simultaneously. In an attempt to find the Kalman-like filter, which proves the Gaussianity of the state and offers a set of update equations, our paper shows that no such filter exists. More precisely, one cannot find an event-based trigger such that under possible packet drops, the state variable remains a Gaussian variable. This conclusion can be reasonably extended to a more general setting.
With the development of rail transit,subway is playing an increasingly important role in peoples daily *** positioning technology of subway is the key of communication based on train control system(CBTC).Considering...
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With the development of rail transit,subway is playing an increasingly important role in peoples daily *** positioning technology of subway is the key of communication based on train control system(CBTC).Considering that the global positioning system(GPS)cant be utilized in the subway and the ground equipment is complex and expensive,a self-positioning method based on inertial measurement unit(IMU)and speed sensor is put forward,and the track electronic map is used to reduce the *** method can suppress the error divergence of Strapdown inertial navigation system(SINS)and reduce the cumulative error of dead reckoning(DR)due to attitude *** accordance with the particularity of railway lines,using the least squares method to match the line and revise the error caused by the navigation,can greatly improve the positioning accuracy and reduce the dependency on the ground equipment,and the costs of construction and maintenance can be lowered.
This paper deals with the control of simple process models where multiple time-delays appear. These delays can be input, output or state delays. For the case of input/output time-delays, a general solution is retrieve...
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This paper deals with the control of simple process models where multiple time-delays appear. These delays can be input, output or state delays. For the case of input/output time-delays, a general solution is retrieved from the *** state time-delays, the scalar case is considered and a precompensator is used to cancel the delay. The proposed algorithms are applied to the control of a simple academic example.
The intelligence nonlinear control scheme via double power reaching law based sliding mode control method is proposed to solve the problems of model uncertainties and unknown outside disturbances. Firstly, the aerodyn...
The intelligence nonlinear control scheme via double power reaching law based sliding mode control method is proposed to solve the problems of model uncertainties and unknown outside disturbances. Firstly, the aerodynamic parameters of the morphing vehicle are replaced with curve-fitted approximation to build the accurate model for control design in the hypersonic flight. Then the nonlinear vehicle model is transformed into the strict feedback multi-input/multi-output nonlinear system by using the input-output feedback linearization approach. At the same time, the disturbance observer is used to approximate the unknown disturbance, and the sliding mode method is used to solve the problem of non-matching and uncertainty. Finally, according to the buffeting problem in sliding mode control, the double power is improved. Simulation results show that the proposed method can ensure the global stability of the closed-loop system, and has good tracking and robust performance.
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