In this paper, fuzzy sliding mode controller is designed to govern the dynamics of switched reluctance motor. First, magnetic characteristics data of the motor obtained by finite element method (FEM) is utilized for a...
详细信息
In this paper, fuzzy sliding mode controller is designed to govern the dynamics of switched reluctance motor. First, magnetic characteristics data of the motor obtained by finite element method (FEM) is utilized for a fuzzy estimation. Next, fuzzy sliding mode control approach has been utilized as a nonlinear robust control algorithm to deal with a highly nonlinear system with an unknown model and a variable load torque. Simulation results show an excellent tackling the problem with an acceptable control effort. Finally, an effective commutation algorithm has been coupled with the proposed controller which can reduce the acoustic noise resources.
This paper considers robust stochastic stability, stabilization and H/sub /spl infin// control problems for a class of jump linear systems with time delays. By taking some zero equations, neither model transformation ...
详细信息
ISBN:
(纸本)0780390989
This paper considers robust stochastic stability, stabilization and H/sub /spl infin// control problems for a class of jump linear systems with time delays. By taking some zero equations, neither model transformation nor bounding for cross terms is required to obtain the delay-dependent results, which are given in terms of linear matrix inequalities (LMIs). Maximum sizes of time delays are also studied for system stability. Furthermore, solvability conditions and corresponding H/sub /spl infin// control laws are given which provide robust stabilization with a prescribed H/sub /spl infin// disturbance attenuation level /spl gamma/. Numerical examples show that our proposed methods are much less conservative than existing results.
Repetitive processes are a distinct class of 2D systems (*** propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing te...
详细信息
Repetitive processes are a distinct class of 2D systems (*** propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or 2D systems theory. Here we give new results on the design of physically based control laws and, in particular, the first results on a mixed H 2 /H ∞ approach and on H 2 control in the presence of uncertainty in the process model.
Repetitive processes are a distinct class of 2D systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension o...
详细信息
Repetitive processes are a distinct class of 2D systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or 2D systems theory. Here we give the first results on how feedback/feedforward control action can be used to influence one form of controllability for processes with discrete dynamics.
The objective of this research is to investigate the utility of micro genetic algorithms (GA) to determine the initial conditions of a spacecraft at the point of departure from Earth's orbit to make a successful l...
详细信息
The objective of this research is to investigate the utility of micro genetic algorithms (GA) to determine the initial conditions of a spacecraft at the point of departure from Earth's orbit to make a successful lunar landing or a lunar flyby. The states of the spacecraft at the point at the destination are then obtained using the patched-conic approximation. As demonstrated in this work, faster convergence is obtained using micro genetic algorithms. This methodology can also be extended to interplanetary translation by utilizing the intermediate thrust of the spacecraft.
In this paper, we give a new method to prove in detail the consistency of the residual based and innovation based stochastic gradient algorithms for identifying CARMA/ARMAX models with disturbances under weaker condit...
详细信息
ISBN:
(纸本)0780390989
In this paper, we give a new method to prove in detail the consistency of the residual based and innovation based stochastic gradient algorithms for identifying CARMA/ARMAX models with disturbances under weaker conditions on statistical properties of the noise, e.g., the mean value is non-zero, and the variance is time-varying, and/or high-order moments are possibly nonexistent. The analysis indicates that the parameter estimation error is consistently bounded, and consistently converges to zero under persistent excitation conditions.
In this paper, hardware integration and control design for a dual-axis linear stepper (Sawyer) motor are addressed. In particular, the Sawyer motor used in the Yaskawa/MotoMan manufacturing system which is utilized in...
详细信息
In this paper, hardware integration and control design for a dual-axis linear stepper (Sawyer) motor are addressed. In particular, the Sawyer motor used in the Yaskawa/MotoMan manufacturing system which is utilized in various applications such as assembly, packaging, sorting, and probing, is considered. These motors are equipped with four optical sensors with a position resolution of 0.25 microns. We develop a detailed model of the motor for control validation and provide a comparison of two control designs, namely, a PD (or PID) and a robust adaptive nonlinear controller. To achieve high performance, a number of practical issues (such as delay/latency, finite sampling time, sensor noise, commutation rate, etc.) need to be considered. Effects of these factors are outlined and experimentally demonstrated. Both the considered controllers utilize knowledge of motor position and velocity in all axes. Current measurements are not required. Either numerical differentiation or a dynamic observer can be used to construct the velocity signals from the measured position data. The designed nonlinear controller provides practical stabilization of position tracking errors and achieves better overall performance. Adaptations are utilized so that no knowledge of the electromechanical system parameters is required. The proposed nonlinear controller is robust to load torques, friction, cogging forces, and other disturbances satisfying certain bounds. Furthermore, the controller corrects for the unintended yaw and achieves synchrony of the motor and rotor teeth. We have also observed that if the rotational motion is not corrected for, the performance is very poor for both controllers. This is also true in the case of delay/latency and higher rates of commutation.
This paper describes a design for adaptive control of transverse flux permanent magnet machines as nonlinear systems with unknown nonlinearities by utilizing Takagi-Sugeno-Kang type neuro-fuzzy networks. The technique...
详细信息
This paper describes a design for adaptive control of transverse flux permanent magnet machines as nonlinear systems with unknown nonlinearities by utilizing Takagi-Sugeno-Kang type neuro-fuzzy networks. The technique of feedback linearization and H infin control are used to design the adaptive control law for compensating the unknown nonlinear parts, such the effect of cogging torque, as a disturbance on the rotor angle and angular velocity tracking performances. Finally, the capability of the proposed method is shown by the simulation results
This paper deals with the implementation of Haar wavelet to the optimal control of linear singularly perturbed systems. The approximated composite control and the slow and fast trajectories with respect to a quadratic...
详细信息
This paper deals with the implementation of Haar wavelet to the optimal control of linear singularly perturbed systems. The approximated composite control and the slow and fast trajectories with respect to a quadratic cost function by solving only the linear algebraic equations are calculated. The results are illustrated with a simple example.
Because of their flexible performance, converter-based transmission controllers such as Unified Power Flow controller (UPFC) can be very effective in improving power transfer capability over congested transmission pat...
详细信息
暂无评论