we propose a new perspective on the identification of linear dynamic system using structural similarity. The proposal consists in the meaningful exploration of each model, specifically behavior of the state variable. ...
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In this paper, the phase-lead/phase-lag controller is selected as the main controller to achieve desired performance. Based on the observer-based scheme, an auxiliary compensator of the main controller is designed to ...
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ISBN:
(纸本)9781424455652;9781424455669
In this paper, the phase-lead/phase-lag controller is selected as the main controller to achieve desired performance. Based on the observer-based scheme, an auxiliary compensator of the main controller is designed to improve the performance reduction due to actuator saturation. To obtain the auxiliary controller, the effect of actuator saturation is modeled as a disturbance imported to the main controller and an auxiliary compensator is derived by solving an H ∞ optimization problem. It is shown that the resulting auxiliary controller is only associated with the parameters of the main controller. Therefore, it can be easily implemented to the practical applications.
Bio-inspired intelligence is in the spotlight in the field of international artificial intelligence,and unmanned combat aerial vehicle(UCAV),owing to its potential to perform dangerous,repetitive tasks in remote and h...
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Bio-inspired intelligence is in the spotlight in the field of international artificial intelligence,and unmanned combat aerial vehicle(UCAV),owing to its potential to perform dangerous,repetitive tasks in remote and hazardous,is very promising for the technological leadership of the nation and essential for improving the security of *** the basis of introduction of bioinspired intelligence and UCAV,a series of new development thoughts on UCAV control are proposed,including artificial brain based high-level autonomous control for UCAV,swarm intelligence based cooperative control for multiple UCAVs,hy-brid swarm intelligence and Bayesian network based situation assessment under complicated combating environments, bio-inspired hardware based high-level autonomous control for UCAV,and meta-heuristic intelligence based heterogeneous cooperative control for multiple UCAVs and unmanned combat ground vehicles(UCGVs).The exact realization of the proposed new development thoughts can enhance the effectiveness of combat,while provide a series of novel breakthroughs for the intelligence,integration and advancement of future UCAV systems.
This paper proposes a novel feedrate interpolation strategy depending on the error feedback information. The proposed strategy incorporates the real-time non-uniform rational B-spline (NURBS) algorithm and is applied ...
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ISBN:
(纸本)9781424455652;9781424455669
This paper proposes a novel feedrate interpolation strategy depending on the error feedback information. The proposed strategy incorporates the real-time non-uniform rational B-spline (NURBS) algorithm and is applied in a biaxial contouring stage system. The objective of the strategy is to improve the contouring accuracy to cope with the high-precision standard nowadays. The proposed method does achieve the control purpose that if the detected contouring performance is beyond a given specified value, then the feedrate controller will vary the actual feedrate to provide better contouring accuracy. By real-time adjusting the feedrate depending on the error feedback, contouring error will not accumulate such that the precision can be improved. Many experiments are conducted and the results do show the effectiveness of the proposed method.
For the complicated aerodynamics characteristic and severely uncertainty of nonlinear model of a hypersonic vehicle, a novel Model Predictive controller design methodology based on Linear Parameter-Varying was develop...
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Today's industrial control systems gradually lose performance after installation and must be regularly maintained by means of adjusting parameters and modifying the control algorithm, in order to regain high perfo...
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Today's industrial control systems gradually lose performance after installation and must be regularly maintained by means of adjusting parameters and modifying the control algorithm, in order to regain high performance. Industrial control algorithms are complex software systems, and it is particularly difficult to locate causes of performance loss, while readjusting the algorithm once the cause of performance loss is actually realized and found is relatively simple. In this paper we present a software-engineering approach to the maintenance problem, which provides tools for exploring the behavior of a control algorithm, enables maintenance personnel to focus on only relevant parts of the algorithm and semi-automatically locate the part of the algorithm that is responsible for the reduced performance. The solution is tuning-free and can be applied to installed and running systems without modifying the existing control algorithm, which makes the solution well suited for industrial applications.
An Equivalent Current Injection (ECI) based Security-Constrained Optimal Power Flow (SCOPF) is presented in this paper and a Multiple Particle Swarm Optimization (MPSO) is developed for solving non-convex Optimal Powe...
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In a general nonlinear control system a stabilizing control strategy is often possible if complete information on external inputs affecting the system is available. Assuming that measurements of persistent disturbance...
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This paper presents the design of a fuzzy sliding mode loss-minimization control for the speed of a permanent magnet synchronous generator (PMSG) and proportional-integral (PI) for the turbine pitch angle control. The...
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ISBN:
(纸本)9781424455652;9781424455669
This paper presents the design of a fuzzy sliding mode loss-minimization control for the speed of a permanent magnet synchronous generator (PMSG) and proportional-integral (PI) for the turbine pitch angle control. The PMSG speed uses maximum power point tracking below the rated speed, which corresponds to low and high wind speed, and the maximum energy can be captured from the wind. A sliding mode controller with an integral-operation switching surface is designed, in which a fuzzy inference mechanism is utilized to estimate the upper bound of uncertainties. Furthermore, the fuzzy inference mechanism with center adaptation is investigated to estimate the optimal bound of uncertainties.
This paper presents preventive security-constrained optimal power flow (PSCOPF) with hybrid genetic-ant colony optimization (HGACO) is presented The PSCOPF can be divided into three steps involving security analysis,s...
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This paper presents preventive security-constrained optimal power flow (PSCOPF) with hybrid genetic-ant colony optimization (HGACO) is presented The PSCOPF can be divided into three steps involving security analysis,severest event selection,and preventive ***,Novel security analysis will be conducted before fault occurred in the system by current-based power flow ***,ranking method will be used to highlight the most severe event caused by the specific *** finally,a preventive algorithm will make use of the contingency information,and could be kept the operator system security and avoided congestion when fault *** HGACO is integrated with genetic algorithm and ant colony optimization,and the objective of GA is to improve the searching quality of ants by optimizing themselves to generate a better result,because the ants produced randomly by pheromone process are not necessary *** method can not only enhance the neighborhood search,but can also search the optimum solution quickly to advance convergence.
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