We discuss the application of programmable logic controllers (PLCs) in the process monitoring and control for fuel alcohol production. The PLCs are mainly utilized for collecting process data as well as realizing auto...
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We discuss the application of programmable logic controllers (PLCs) in the process monitoring and control for fuel alcohol production. The PLCs are mainly utilized for collecting process data as well as realizing auto-tuning PID and sequence control strategies. In addition, WinCC configuration software with a human-machine interface (HMI) is used to monitor the dynamical industrial process. Both software- and hardware-based implementations of our system are also described in detail.
In this paper, a discrete-time variable structure control is proposed. The control system is designed based on the CARMA model, so that steady-state precision is provided with robustness. This paper analyzes the effec...
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In this paper, a discrete-time variable structure control is proposed. The control system is designed based on the CARMA model, so that steady-state precision is provided with robustness. This paper analyzes the effect of disturbance on the sliding-mode theoretically, and proposes an applied VSC law. Simulation results show the effectiveness of the algorithm.
It is well known that an asymmetric cylinder fifth-order electrohydraulic servo system is a class of typical high-order one with nonlinearity, time-varying and gain asymmetric. Because dynamic performances of the serv...
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It is well known that an asymmetric cylinder fifth-order electrohydraulic servo system is a class of typical high-order one with nonlinearity, time-varying and gain asymmetric. Because dynamic performances of the servo system vary greatly with the variable load, conventional PID is very difficult to be used to reach the desired performance target. 20-SIM simulation software is a simulation tool based on bond graph theory, and it is very suitable for simulation of nonlinear systems. Based on the aforementioned characteristics, we set up a simulation model using 20-SIM simulation tool, and design an online self-learning single neuron PID control algorithm. Simulation results show that this single neuron PID control scheme is better than conventional PID control.
A new hybrid fuzzy adaptive control scheme is presented systematically for a class of affine nonlinear unknown systems using Lyapunov stability theory. Because of combining fuzzy control with fuzzy identification, it ...
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A new hybrid fuzzy adaptive control scheme is presented systematically for a class of affine nonlinear unknown systems using Lyapunov stability theory. Because of combining fuzzy control with fuzzy identification, it demands little pre-knowledge about the plant models, so the method is generally applicable. In order to overcome the problem of the model mismatch, a compensation control term is introduced into the controller. Based on the conception, approximate error coefficient, the degree of accuracy of the fuzzy identifier can be described quantitatively. According to this, the identifier can be designed easily and suitably.
In this paper, the problem of robust control is investigated for a class of discrete uncertain time-delay systems subject to input and state constraints. A guaranteed cost robust predictive control scheme is presented...
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In this paper, the problem of robust control is investigated for a class of discrete uncertain time-delay systems subject to input and state constraints. A guaranteed cost robust predictive control scheme is presented, which combines a quasi-infinite horizon predictive control scheme and guaranteed cost robust control as well as the finite terminal weighting matrix method to deal with the problems of input and state constraints and system uncertainty. The sufficient conditions of stability are presented. Simulation results verify the effectiveness of the proposed method.
An extremely simple method for eigenstructure assignment in multivariable linear systems via state feedback controllers is presented. It is shown that as soon as a series of singular value decompositions are completed...
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An extremely simple method for eigenstructure assignment in multivariable linear systems via state feedback controllers is presented. It is shown that as soon as a series of singular value decompositions are completed, the whole set of admissible right closed-loop eigenvectors as well as the whole set of state feedback gain matrices can be simply and neatly parameterized in terms of a group of parameter vectors. This group of parameter vectors provide all the design degrees of freedom and can be utilized to achieve additional desired specifications. The method involves mainly a series of singular value decompositions and the solution to a linear matrix equation and is numerically reliable. The proposed approach does not require the closed loop eigenvalues to be distinct or to be different from the open loop ones. Moreover, it allows repeated closed-loop eigenvalues, but produces only nondefective eigenstructure for robustness consideration. Based on the presented approach, two algorithms for robust pole assignment are proposed. Several computational examples demonstrate the numerical reliability of the proposed approach.
In this paper, a repetitive control method is presented for the rejection of significant nonlinear disturbance torque in servomechanisms. The disturbance torque dealt with is assumed to be periodic in position, which ...
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ISBN:
(纸本)0780374746
In this paper, a repetitive control method is presented for the rejection of significant nonlinear disturbance torque in servomechanisms. The disturbance torque dealt with is assumed to be periodic in position, which is the main cause for the degradation of the system steady-state precision. A sufficient condition for stability is given. The existence of periodic steady-state error is proved, thus the repetitive control approach can be directly applied to the rejection of disturbance torque coupled to position. It should be noted that this property is also necessary for other learning algorithms based on the period-invariance property of the system. Simulation results show that with the proposed method, the steady-state error due to the disturbance torque can be effectively reduced.
In this paper, we study H/sub /spl infin// control for multirate sampled-data system with time-delay. In allusion to the problems of time-delay and multirate sampling, we describe the system with a time-varying jump s...
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ISBN:
(纸本)9810483643
In this paper, we study H/sub /spl infin// control for multirate sampled-data system with time-delay. In allusion to the problems of time-delay and multirate sampling, we describe the system with a time-varying jump system characterization. Then basing on the technique of continuous lifting, the hybrid, linear, time-varying, jump system is isometrically mapped to a discrete-time, linear, time-varying system with infinite-dimensional input-output spaces. Finally by making use of the definition of the system function for a discrete-time, time-varying system and the property of symplectic pair, the infinite-dimensional system is transformed to an equivalent discrete-time system with finite-dimensional input-output spaces which can be disposed with well developed H/sub /spl infin// controltheory. As a result, the proposed design method can solve H/sub /spl infin// control problem for multirate sampled-data system with time-delay.
In this paper, a method to globally practically stabilize wheeled mobile robots (WMR) with two control inputs is proposed based on control Lyapunov function (CLF). A formulation of the stabilizing controller is obtain...
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In this paper, a method to globally practically stabilize wheeled mobile robots (WMR) with two control inputs is proposed based on control Lyapunov function (CLF). A formulation of the stabilizing controller is obtained for a performance index and control-affine driftless systems by means of approximating the value function of the performance index by a CLF associated with the system considered. The controller can guarantee stability and is useful to examine the system performance under different performance indices. Simulation is performed to highlight the effectiveness of the proposed control law.
This paper presents an adaptive determination method of the information sharing factors employed in the federated Kalman filtering algorithm. This approach is based on generalised eigenvalue decomposition of the covar...
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This paper presents an adaptive determination method of the information sharing factors employed in the federated Kalman filtering algorithm. This approach is based on generalised eigenvalue decomposition of the covariance matrix of the estimated errors associated with individual sensors. The paper begins with a discussion of the structural features and information sharing principle of the Federated Kalman filtering approach. Following development of the new method, simulation results demonstrate its capability to provide a considerable improvement in robustness to changing plant conditions, at the cost of a minimal loss in accuracy under ideal plant behaviour.
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