The feedback control structures are required in the presence of any kind of uncertainty. The benefits of the feedback are mainly paid with an excessive bandwidth that amplifies the sensor noise, saturating the actuato...
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The feedback control structures are required in the presence of any kind of uncertainty. The benefits of the feedback are mainly paid with an excessive bandwidth that amplifies the sensor noise, saturating the actuators. This implies the necessity of design tradeoffs highly transparent from the Quantitative Feedback Theory. Supposing a given uncertainty for a plant, the set of performance and stability requirements will condition the problem solution. Taking advantage of the QFT bound typology and formulation, the contribution of the robust specification values to their simultaneous achievement will be analysed and particularly as regards the challenging task of the controller design.
The design of current and speed controllers remains to a large extent a mystery to many engineers in the motor drives field. An attempt is made in this paper to simplify the design of the current and speed controllers...
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The design of current and speed controllers remains to a large extent a mystery to many engineers in the motor drives field. An attempt is made in this paper to simplify the design of the current and speed controllers using Bode plots. This paper outlines the theoretical background behind the techniques of symmetric optimum and dominant time constant compensation methods. The techniques are compared and contrasted using the overshoot and phase margin criteria. An application of these techniques to controller design for permanent magnet brushless DC motor (PMBDCM) drive system is made and verified with simulation. In order to apply these techniques to PMBDCM drive for the design of the current and speed controllers, the model of the motor drive is given for the benefit of the reader. The current and speed controller synthesis of a PMBDCM drive is achieved with the presented technique. Simulation results demonstrate for reference (current or speed) changes, symmetric optimum and dominant time compensation methods perform similarly. But for a load torque disturbance, the adverse effect on the speed is compensated faster only with the symmetric optimum method.
A simple nonlinear controller for a low-power gas turbine based on direct passivation is proposed in this paper. It uses a nonlinear state space model of the gas turbine in input-affine form based on first engineering...
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A simple nonlinear controller for a low-power gas turbine based on direct passivation is proposed in this paper. It uses a nonlinear state space model of the gas turbine in input-affine form based on first engineering principles. It is found by standard nonlinear analysis that the developed model is reachable and observable in the whole application domain and stable in a small neighborhood of an operating point. Accordingly, the control aim is to guarantee the asymptotic stability of every operating points in the whole application domain and to provide suitable disturbance rejection. The proposed nonlinear controller is based on a prescribed quadratic Lyapunov-function and it is able to solve the protection of the gas turbine. The robustness of the closed-loop system with respect to the time-varying parameters is also investigated.
In this paper, the control of constrained robotic manipulators is addressed and the solution of a reduced order model is obtained through a nonlinear transformation. A set of differential-algebraic equations are first...
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In this paper, the control of constrained robotic manipulators is addressed and the solution of a reduced order model is obtained through a nonlinear transformation. A set of differential-algebraic equations are first derived. Then controllers are designed for position and force control. The position control involves the position and velocity feedback of end-effector, while the force control is developed based on an artificial neural network. The weights of the neural network are updated online using the force error as the objective function. An example of a 2-DOF manipulator system is studied in detail. Comparisons between a conventional PID controller and the designed controller are made and a practical application is carried out. The results demonstrate the effective performance of the system.
In this paper, a neural network approach is proposed for the motion control of a constrained flexible manipulator system, whereby both the contact force and the position of the end-effector contacting with a surface a...
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ISBN:
(纸本)0780376579
In this paper, a neural network approach is proposed for the motion control of a constrained flexible manipulator system, whereby both the contact force and the position of the end-effector contacting with a surface are controlled. The dynamic equations, vibration of the flexible link and constrained force are derived. The developed control scheme can adaptively estimate the dynamics of the manipulator by utilizing a dynamic recurrent neural network (DRNN) to approximate the underlying dynamics. Local stability of the system is discussed. The results confirm that the designed controller performs remarkably well.
Constraint programming (CP) systems are useful for solving real-life combinatorial problems, such as scheduling, planning, rostering and routing problems. The design of modern CP systems has evolved from a monolithic ...
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Constraint programming (CP) systems are useful for solving real-life combinatorial problems, such as scheduling, planning, rostering and routing problems. The design of modern CP systems has evolved from a monolithic to an open design in order to meet the increasing demand for application-specific customization. It is widely accepted that a CP system needs to balance various design factors such as efficiency versus customizability and flexibility versus maintenance. This paper captures our experience with using different software engineering approaches in the development of constraint programming systems. These approaches allow us to systematically investigate the different factors that affect the performance of a CP system. In particular we review the application of reuse techniques, such as toolkits, framework and patterns, to the design and implementation of a finite-domain CP system.
In this paper, the problem of system decomposition of complex linear dynamical systems, by exploiting the similarity property, is studied. System decompositions were sought in terms of similarity hierarchical structur...
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In this paper, the problem of system decomposition of complex linear dynamical systems, by exploiting the similarity property, is studied. System decompositions were sought in terms of similarity hierarchical structures. Three new theoretical results were proved. A method for constructing the transformation has been derived. The conditions for such decomposition of complex linear systems are given.
In this paper, the problems of isomorphic decomposition and controllability of a class of nonlinear systems possessing symmetries, on the basis of quotient systems, is studied. The isomorphic decomposition formations ...
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In this paper, the problems of isomorphic decomposition and controllability of a class of nonlinear systems possessing symmetries, on the basis of quotient systems, is studied. The isomorphic decomposition formations of these systems are derived. Finally, it is shown that controllability of the original systems can be determined by that of the subsystems, which are obtained through isomorphic decomposition. The corresponding sufficient and necessary conditions are given. Two new theoretical results have been proved.
The paper applies a two-stage modelling concept to a gas-gas heat exchanger located in a tyre production plant. Modelling relies on combination of prior knowledge and recorded data. During the identification procedure...
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The problem of detecting actuator faults in the presence of modelling errors is addressed. A likelihood-ratio test is derived such that the effects of undermodelling are properly taken into account via a stochastic em...
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