We demonstrate that direct data-driven control of nonlinear systems can be successfully accomplished via a behavioral approach that builds on a Linear Parameter-Varying (LPV) system concept. An LPV data-driven represe...
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We demonstrate that direct data-driven control of nonlinear systems can be successfully accomplished via a behavioral approach that builds on a Linear Parameter-Varying (LPV) system concept. An LPV data-driven representation is used as a surrogate LPV form of the data-driven representation of the original nonlinear system. The LPV data-driven control design that builds on this representation form uses only measurement data from the nonlinear system and a priori information on a scheduling map that can lead to an LPV embedding of the nonlinear system behavior. Efficiency of the proposed approach is demonstrated experimentally on a nonlinear unbalanced disc system showing for the first time in the literature that behavioral data-driven methods are capable to stabilize arbitrary forced equilibria of a real-world nonlinear system by the use of only 7 data points.
Feedforward controllers typically rely on accurately identified inverse models of the system dynamics to achieve high reference tracking performance. However, the impact of the (inverse) model identification error on ...
Feedforward controllers typically rely on accurately identified inverse models of the system dynamics to achieve high reference tracking performance. However, the impact of the (inverse) model identification error on the resulting tracking error is only analyzed a posteriori in experiments. Therefore, in this work, we develop an approach to feedforward control design that aims at minimizing the tracking error a priori. To achieve this, we present a model of the system in a lifted space of trajectories, based on which we derive an upperbound on the reference tracking performance. Minimization of this bound yields a feedforward control-oriented system identification cost function, and a finite-horizon optimization to compute the feedforward control signal. The nonlinear feedforward control design method is validated using physics-guided neural networks on a nonlinear, nonminimum phase mechatronic example, where it outperforms linear ILC.
The trajectory tracking problem is a fundamental control task in the study of mechanical systems. A key construction in tracking control is the error or difference between an actual and desired trajectory. This constr...
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The importance of proper data normalization for deep neural networks is well known. However, in continuous-time state-space model estimation, it has been observed that improper normalization of either the hidden state...
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Marine structures like Floating Wind Turbine (FWT) is exposed to the oncoming waves and wind that can cause oscillatory motions within the system. These undesired oscillations can have negative impacts on the efficien...
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Marine structures like Floating Wind Turbine (FWT) is exposed to the oncoming waves and wind that can cause oscillatory motions within the system. These undesired oscillations can have negative impacts on the efficiency of the system, reduce its lifespan, hinder energy extraction, increase stress levels, and raise maintenance costs. To mitigate these negative impacts, the integration of Wave Energy Converters (WECs) into the FWT system has been proposed. This hybrid system may be capable of extracting coupled wind-wave energy and transferring electrical power to the shared grid. This paper presents an investigation of the use of Oscillating Water Columns (OWCs), a type of WECs, within a FWT system. The purpose of using an OWC is to increase the hydrodynamic damping and reduce the resonant motions of the floating wind turbines under environmental loads, including both wind and wave loads. This is because the wave energy from OWC would be very small as compared to the wind energy. However, OWCs can provide a damping source for reducing the resonant motions of the floater, especially the pitch resonant motions. This would be very beneficial for the power performance of the floating w ind turbine and the structural design of the floater. T he p urpose of this paper is to redesign the original FWT platform to accommodate the additional OWCs by considering the hydrostatic stability and hydrodynamics since the new elements, the OWCs, can significantly change the response of the platform. The redesign of the original FWT involves the integration of OWCs within two out of three columns of an existing semisubmersible platform for a 12 MW FWT. To do this, two moonpools, which are consistent with OWC air chambers, have been created within two columns of the FWT. The water ballast was designed for the columns with and without OWCs. After that the redesign is done hydrostatic stability and hydrodynamics analyses are evaluated. The hydrodynamics properties are discussed in terms o
In this contribution the design of an indirect adaptive third order sliding mode controller based on a backstepping-like procedure is presented. A recursively defined homogeneous control Lyapunov function is combined ...
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ISBN:
(数字)9798350316339
ISBN:
(纸本)9798350316346
In this contribution the design of an indirect adaptive third order sliding mode controller based on a backstepping-like procedure is presented. A recursively defined homogeneous control Lyapunov function is combined with the adaptive backstepping method via tuning functions to compensate for unmatched parametric uncertainties. A matched bounded disturbance is eliminated by discontinuous control. It is shown that the states of the regarded system in parametric strict-feedback form converge asymptotically to the equilibrium while the parameter estimation error is bounded. Further, it is guaranteed that all control and adaptation signals are bounded. The proposed design is demonstrated in a simulation of a system with unmatched parametric uncertainty and matched disturbance.
In current distribution network, transient features of current and voltage are widely used to solve earth fault as ground system varies and makes it is very important to find its precise fault point when an earth faul...
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For 10kV line outgoing line, the neutral point of transformer adopts arc suppression coil grounded or ungrounded distribution network, in case of single-phase grounding, the zero sequence fault current is weak, and th...
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This article provides an experimental case study of a state-of-the-art recursive feedforward parameter learning framework on a high-tech industrial metrology and inspection machine. The aim of the learning framework i...
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ISBN:
(数字)9783907144107
ISBN:
(纸本)9798331540920
This article provides an experimental case study of a state-of-the-art recursive feedforward parameter learning framework on a high-tech industrial metrology and inspection machine. The aim of the learning framework is to recursively adapt the feedforward parameters to compensate for time-varying and position-dependent system behavior, e.g., caused by wear, position and temperature dependent actuator characteristics, changes in shape and stiffness due to thermal expansion, and sample time jitter. The strength of the approach is demonstrated through experiments on a high-tech motion system which show a peak error reduction of circa 45% compared to the industrial controller with offline calibrated feedforward parameters.
The construction of the provincial platform of the new generation of substation centralized control system continues to advance, the graph, model and date of the provincial platform are formed from the regional centra...
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ISBN:
(数字)9798350363265
ISBN:
(纸本)9798350363272
The construction of the provincial platform of the new generation of substation centralized control system continues to advance, the graph, model and date of the provincial platform are formed from the regional centralized control system, and the scale of data storage continues to grow, which puts forward higher requirements in terms of real-time data update and screen operation response ability. In view of the problems of high server load, untimely data update, stuck human-machine screen of workstation, and unsmooth operation response caused by centralized access in the case of large data scale and frequent data changes, an efficient human-machine terminal data update framework is proposed, and the human-machine gateway service is added to the server side to achieve efficient real-time data update through technologies such as subscription/publishing mechanism based on changing data entity messages, shared data pools, and changing data message forwarding. The experimental results show that the human-machine terminal data update using the new framework can better meet the requirements of the provincial centralized control system for large-scale data access and update in terms of server Central Processing Unit(CPU)load rate, real-time data update efficiency, and screen operation fluency.
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