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In this paper several optimal control strategies are proposed for the power management subsystem of a hybrid fuel cell/supercapacitor power generation system. The control strategies are based on different control configurations involving the power converters associated to the hybrid source. Given certain desired performances, Linear Matrix Inequalities methods are used to solve the controller design...
A linear parameter varying approach for designing a constant output feedback controller for a linear time-invariant retarded system with stochastic multiplicative Wiener-type noise, that achieves a minimum bound on the H∞ performance level is introduced. The stochastic uncertainties appear in the dynamic matrices, which correspond to the delayed and non-delayed states of the system, and in the measurement...
An alternative way to control a nonlinear system, such as a two Degree Of Freedom helicopter, is the linearization of the model around an equilibrium point, in this case, an equilibrium point around the Pitch angle. Subsequently, the design a Robust Controller for this system is done, using a the DK iteration method. However, when a variation of an angle such as its uncertainty is modeled, the performance...
This paper presents design of robust current controller. It takes the motor parameters as uncertain values. Comparing with other approaches it takes into account imprecision of decoupling which linearizes the motor model. The controller design uses error signals between coupling and decoupling terms and treats them as uncertainties. This approach preserves the linearity for the price of treating model...
This paper deals with a convex optimization approach to the problem of robust network-based H∞ control for linear systems connected over a common digital communication network with norm-bounded parameter uncertainties. Firstly, we investigate the effect of both the output quantization levels and the network conditions under static quantizers. Secondly, by introducing a descriptor technique, using...
A passive adaptive control problem is studied for a class of multi-input multi-output(MIMO) nonlinear systems with unknown parametric uncertainties. The design methods of passive adaptive controllers for the class of systems are discussed respectively when unknown constant parametric matrixes of control input are positive definite and general matrixes. The passive adaptive controllers and parameter...
In this paper, a new decentralized variable structure control scheme is proposed for a class of large-scale time-delayed systems with mismatched uncertainties. To overcome the defect that neither time-delay interconnection terms nor uncertainties satisfy the conventional matching conditions, the coefficient matrix of the switching function can be designed to satisfy a new matching condition, meanwhile,...
This paper investigates the robust synchronization of uncertain hyper chaotic Chen and Lü systems. Based on Lyapunov stability theory and adaptive control, the adaptive robust controller is designed, which achieve synchronization of the two hyper chaotic systems with an arbitrarily small error by introducing a compensator. The update laws of the unknown parameters are given and the theoretical analysis...
Model predictive control (MPC) has developed considerably in the last decades both in industry and in academia. This success is due to the fact that MPC is perhaps the most general way of posing the control problem in the time domain. One of the main advantages of MPC is that model uncertainties can be taken explicitly into account and this allows for the consideration of faulty process behavior....
This paper proposes a new tuning method for PI controllers in two-degree-of-freedom (2DOF) structure. In design approach, first order plus dead time (FOPDT) model is used. The aim is to have good set-point response and disturbance rejection and also maximum robustness to model uncertainties. The tuning strategy is based on using Butterworth rules and genetic algorithm optimization. Simulation results...
Nowadays simple and executable controllers that can control many complex processes are more popular, remarkable and justifiable. Studying and designing such controllers for inverted pendulum system is a prominent way to prove the controllers performance. Inverted pendulum system is a classic system in most control laboratories. The system structure, totally, consists of a cart and a pendulum hinged...
A MIMO description of an Electrically-Powered Wheelchair (EPW) is developed using kinematics of non-holonomic mobile robots in addition to DC electric motors dynamics. The dynamics is augmented with an innovative static matrix in order to achieve diagonal dominance and to obtain a reliable estimation of the plant. Characteristic loci method is exploited to design a MIMO controller for the augmented...
This paper presents the application of a two-degree-of-freedom (2DOF) control of an electrodynamic shaker. The characteristics of a shaking system are considered to be nonlinear and variable because of the influence of the test piece. In order to compensation for this problem, the influence of the disturbance force needs to be suppressed. The controller is designed using μ-synthesis by considering...
In this paper, the problem of robust multi-objective control design with an H∞ constrain is studied for a class of linear two-time scale systems. The design is based on a new modelling approach under the assumption of norm-boundedness of the fast dynamics. In this method, a portion of the fast dynamics is treated as a norm-bounded perturbation in the design by its maximum possible gain. In this view,...
This paper proposes robust proportional -integral-derivative (PID) control for a proton exchange membrane fuel cell (PEMFC) system. We model a PEMFC as a multivariable system, and apply identification techniques to obtain the system's transfer function matrices, where system variations and disturbances are regarded as system uncertainties. In previous studies, robust control has been successfully...
This paper considers the problem of controlling both the planar position and the orientation of an underactuated airship with a reduced number of actuators in the presence of a unknown persistent wind disturbance. The airship is a nonholonomic system described by a set of nonlinear equations and the dynamics are subjected to bounded uncertainties. A smooth and time-varying coordinate transformation...
When controlling a Linear Parameter Varying (LPV) system, a LPV regulator is advisable, since it ensures better performance than a simple Linear Time Invariant actually does. In fact, real-time scheduling to the variations of the system allows the achievement of stability and performance requirements for a number of operating points. Within this setting, this paper discusses a Matlab toolbox achieving...
In this paper, a robust control design strategy is introduced to synchronize two different chaotic systems. The controller is based on particle swarm optimization (PSO). Particle swarm optimization is a well-known evolutionary optimization algorithm inspired by organism behavior of birds flocking and fish schooling. Our control approach is based on defining a suitable cost function in such a way that...
For a class of multi input and multi output nonlinear uncertain systems with input coupling term, a robust feedback linearization method combined with a minimax linear quadratic regulator (LQR) control is proposed. The uncertainties in the system and the presence of input terms in the low order derivatives of the outputs due to the input coupling makes the feedback linearization a challenging task...
Feedback control problems for distributed parameter systems arise in a variety of physical, chemical, biological, and mechanical systems. This paper exploits the algebraic structure of the system of ordinary differential equations that arise from spatial discretization of the partial differential equation (PDE) to analyze and design feedback controllers that are robust to bounded perturbations in...
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