A state feedback output tracking adaptive control scheme is developed for plants with actuator failures characterized by the failure pattern that some inputs are stuck at some unknown fixed values at unknown time inst...
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A state feedback output tracking adaptive control scheme is developed for plants with actuator failures characterized by the failure pattern that some inputs are stuck at some unknown fixed values at unknown time instants. This scheme relaxes the conditions on the controlled plant for desired plant-model output matching in the presence of actuator failures. New controller parametrization and adaptive law are developed under less restrictive conditions. All closed-loop signals are bounded and the plant output tracks a given reference output asymptotically, despite the uncertainties in actuator failures and plant parameters. Simulation results verify the desired adaptive control system performance.
A kinematic modeling method is proposed which uses augmenting variables to match the dimensions of the input vector and output vector of each serial subchain of the mobile robots. Firstly, kinematic models of various ...
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ISBN:
(纸本)0780365763
A kinematic modeling method is proposed which uses augmenting variables to match the dimensions of the input vector and output vector of each serial subchain of the mobile robots. Firstly, kinematic models of various type of wheels are derived including skidding and sliding velocities. Then the method of augmented generalized coordinates is applied to obtain inverse and forward kinematic models. The kinematic models derived by the direct inverse of the augmented matrices provide an accurate solution, which was not achievable by the modeling method based on the pseudo-inverse method which provides an approximate solution. Lastly, two kinematic models for typical, differential-driven mobile robots are presented to show the effectiveness of the proposed modeling method.
This paper weighs up the pros and cons of three different tracking controllers for a pneumatic muscle actuator: robust backstepping, adaptive backstepping and sliding-mode. Robustness is assured for three controllers ...
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This paper weighs up the pros and cons of three different tracking controllers for a pneumatic muscle actuator: robust backstepping, adaptive backstepping and sliding-mode. Robustness is assured for three controllers in the presence of model uncertainties and external perturbations. Ultimate boundedness is proved for the robust and adaptive backstepping tracking controller. Exponential stability is proved for the sliding-mode tracking controller. The tracking is well achieved by the sliding-mode and the adaptive controller. On the contrary, the robust backstepping shows a noticeable tracking error. The sliding-mode leads to a high-frequency switching control law.
A nonlinear fuzzy backstepping controller is presented for set-point regulation of a pneumatic muscle actuator. Inflation and deflation are the two possible modes of operation of this actuator. Three fuzzy sets, one f...
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A nonlinear fuzzy backstepping controller is presented for set-point regulation of a pneumatic muscle actuator. Inflation and deflation are the two possible modes of operation of this actuator. Three fuzzy sets, one for each of both modes and one for the transition region, are considered. Each fuzzy set is associated with a local backstepping controller. At the inflation and deflation regimes, the associated controllers are exact backstepping controllers, whereas a robust nonlinear backstepping controller is used at the transition regime and deals with regime uncertainty. The use of fuzzy membership functions provides a smooth controller. The closed-loop system is globally and ultimately bounded.
The performance of two networks to support autonomous multi-spacecraft formation flying systems is presented. Both systems are comprised of a ten-satellite formation, with one of the satellites designated as the centr...
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ISBN:
(纸本)0780365992
The performance of two networks to support autonomous multi-spacecraft formation flying systems is presented. Both systems are comprised of a ten-satellite formation, with one of the satellites designated as the central or "mother ship." All data is routed through the mother ship to the terrestrial network. The first system uses a TCP/IP over ATM protocol architecture within the formation, and the second system uses the IEEE 802.11 protocol architecture within the formation. The simulations consist of file transfers using either the File Transfer Protocol (FTP) or the Simple Automatic File Exchange (SAFE) Protocol. The results compare the IP queuing delay, IP queue size and IP processing delay at the mother ship as well as the end-to-end delay for both systems. In all cases, using IEEE 802.11 within the formation yields less delay. Also, the throughput exhibited by SAFE is better than FTP.
A NPID (nonlinear PID) control algorithm is applied to a class of truck ABS (anti-lock brake system) problems. The NPID algorithm combines the advantages of robust control and easy tuning. Simulation results at variou...
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A NPID (nonlinear PID) control algorithm is applied to a class of truck ABS (anti-lock brake system) problems. The NPID algorithm combines the advantages of robust control and easy tuning. Simulation results at various situations using TruckSim show that NPID controller has shorter stopping distance and better velocity performance than the conventional PID controller and a loop-shaping controller.
In the paper,we exhibit the usefulness of nonlinearity in two aspects:analysis of nonlinear dynamics and nonsmooth feedback *** illustrative examples are given to show how the new bifurcation p
In the paper,we exhibit the usefulness of nonlinearity in two aspects:analysis of nonlinear dynamics and nonsmooth feedback *** illustrative examples are given to show how the new bifurcation p
The emitter turn-off thyristor (ETO) is a new MOS-controlled thyristor that is suitable for use in high-power converters due to its improved switching performance and easy control. This paper analyzes the abnormal fai...
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The emitter turn-off thyristor (ETO) is a new MOS-controlled thyristor that is suitable for use in high-power converters due to its improved switching performance and easy control. This paper analyzes the abnormal failures related to the parasitic diode of the ETO in high-frequency converters for the first time. To prevent this failure, several solutions are proposed and improved ETOs are developed. Experimental results show that the proposed solutions can properly solve this problem.
This paper characterizes the integrated gate commutated thyristor (IGCT) device under the zero-current-transition (ZCT) soft switching condition for the first time. The test results show that ZCT soft switching can dr...
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This paper characterizes the integrated gate commutated thyristor (IGCT) device under the zero-current-transition (ZCT) soft switching condition for the first time. The test results show that ZCT soft switching can dramatically reduce the turn-off loss, turn-on loss of the IGCT switch and also alleviate the reverse recovery stress of the diode. The ZCT circuit is therefore suitable for increasing the current handling capabilities of IGCT devices.
Predictive accuracy is the sum of two kinds of uncertainty-natural variability and modeling uncertainty. This paper addresses the quantification of predictive accuracy of complex simulation models from two perspective...
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Predictive accuracy is the sum of two kinds of uncertainty-natural variability and modeling uncertainty. This paper addresses the quantification of predictive accuracy of complex simulation models from two perspectives. First, it recognizes that there is a difference between variability and modeling uncertainty; the former can not be reduced with more test information, while the latter can. We suggest that variability is a natural form of uncertainty that can be quantified with probability theory, but that modeling uncertainty is a form that is better addressed by a theoretical foundation that is not based on random variables, but rather random intervals. We suggest possibility theory as the formalism to address modeling uncertainty. The paper discusses the two different methods, and illustrates the power of their integration to address predictive accuracy with a recent case study involving the crushing load of axially loaded metallic spheres.
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