This paper deals with the control problem of complex objects on the base of the modelreferenceadaptive principle. For decomposition and precise control new algorithms are discovered. A space robotic module is consid...
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This paper deals with the control problem of complex objects on the base of the modelreferenceadaptive principle. For decomposition and precise control new algorithms are discovered. A space robotic module is considered as the example of a complex object. Computer simulation demonstrates good results.
In an effort to increase general aviation safety, model reference adaptive control (MRAC) is applied to a dynamic simulation of the Hawker Beechcraft Corporation (HBC) CJ-144 fly-by-wire aircraft. MRAC is used to cont...
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A new adaptivecontroller for fault tolerant is proposed in this paper. It is based on the adaptive estimation of fault and Youla controller parametrization. The model reference adaptive control method is employed to ...
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A new discrete-time actuator failure compensation control scheme is developed, using a multiple-modeladaptivecontrol approach which has the capacity to achieve faster and more accurate compensation of failure uncert...
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This paper studies the adaptivecontrol problem of single-input, single-output (SISO) piecewise linear systems, a class of linear systems with switched parameters. A direct state feedback modelreferenceadaptive cont...
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In this work, we present a new strategy of direct adaptivecontrol denoted: Extended minimal controller synthesis (EMCS). This algorithm is designed for an induction motor, which includes both electrical and mechanica...
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In this work, we present a new strategy of direct adaptivecontrol denoted: Extended minimal controller synthesis (EMCS). This algorithm is designed for an induction motor, which includes both electrical and mechanical dynamics under the assumptions of linear magnetic circuits. The main motivation of the EMCS control is to enhance the robustness of the MRAC algorithms, i.e. the rejection of bounded effects of rapidly varying external disturbances.
A direct self-repairing control approach is proposed for helicopter via quantum control techniques and adaptive compensator when some complex faults occur. For a linear varying-parameter helicopter control system, the...
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A direct self-repairing control approach is proposed for helicopter via quantum control techniques and adaptive compensator when some complex faults occur. For a linear varying-parameter helicopter control system, the model reference adaptive control law is designed and an adaptive compensator is used for improving its self-re- pairing capability. To enhance anti-interference capability of helicopter, quantum control feedforward is added be- tween fault and disturbance. Simulation results illustrate the effectiveness and feasibility of the approach.
Abstract Many practical systems (for example: robotic systems, power system and electronic circuits) are multiple-input multiple-output nonlinear systems and some of them have coupled relations between inputs and outp...
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Abstract Many practical systems (for example: robotic systems, power system and electronic circuits) are multiple-input multiple-output nonlinear systems and some of them have coupled relations between inputs and outputs. Besides all that, these systems can suffer from plant uncertainties and external disturbances. Any control techniques to be applied to these systems are complex. This work proposes a new control structure, based on the union between the variable structure model reference adaptive control and a decouple left-inverse technique, to transform the nonlinear multiple-inputs multiple-outputs system into a number of single-input single-output linear systems. In that case each input affects only one output and with a desired closed-loop performance. The proposed structure uses only input/output measurements, improves the transient performance (reducing the output “chattering”) and it is robust to parametric uncertainties and disturbances. All these features are demonstrated by simulation results of a simple electronic circuit that exhibits chaotic behavior (Chua's circuit). The proposed structure may be used to smooth the control signal, thus reducing the chattering in the output signal.
This paper discusses the design of a cascade controller for active suspension systems, to improve ride quality. In order to do this, in the main loop, a model reference adaptive controller is designed to attenuate dis...
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ISBN:
(纸本)9780978672010
This paper discusses the design of a cascade controller for active suspension systems, to improve ride quality. In order to do this, in the main loop, a model reference adaptive controller is designed to attenuate disturbances due to rough roads. An internal loop provides the required control force for the main controller. The closed loop system has desired robust stability and performance in the presence of uncertainty due to time varying parameters and nonlinear dynamics of the actuator. The simulation results show the effectiveness of the suggested method in increasing ride comfort and safety while constrains of suspension system maneuverability is also satisfied.
A method for a model reference adaptive control structure using a diagonal recurrent cerebellar model articulation controller (DRCMAC) is proposed to control the parallel manipulators. In order to achieve high-precisi...
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ISBN:
(纸本)0769525288
A method for a model reference adaptive control structure using a diagonal recurrent cerebellar model articulation controller (DRCMAC) is proposed to control the parallel manipulators. In order to achieve high-precision position control and guarantee the convergence of tracking error, analytical methods based on a discrete-type Lyapunov function are proposed to determine the varied learning-rate parameters of the DRCMAC. The good stability and accuracy can be obtained because of the powerful on-fine learning capability of the DRCMAC. Finally, the effectiveness of the proposed control method is verified by simulation results in the presence of 6-PRRS parallel manipulators.
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