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Two novel hybridization schemes for the particle swarm repetitive controller (PSRC) are developed and tested herein. They are designed to be used in power electronic converters, such as grid-tie converters or constant-amplitude constant-frequency (CACF) true sine wave inverters, as well as in motion control systems, especially in assembly line robots. The proposed control algorithms combine the good...
This work presents a control strategy for grid-connected voltage source inverters in Distributed Power Generation. The proposal combines two control loops, an internal loop based on the Robust Predictive Current Control (RPCC) and an external proportional-resonant with harmonic compensators (PR+HC) to achieve high rejection to external perturbations and improve grid current THD in steady state. The...
This work presents a new methodology for the computation of an auxiliary signal that allows to detect and, through a simple filter, to isolate faults in a linear time invariant system. The auxiliary signal is obtained by solving a quadratically constrained quadratic program (QCQP) off-line and then the filter is computed simply by solving a linear combination. The proposed methodology is applied to...
In this paper, robust stability and perturbations rejection of perturbed nonlinear systems with disturbance are considered by using the operator-based right coprime factorization technique. That is, when both perturbation and disturbance exist in nonlinear systems, robust control design scheme is proposed for guaranteeing the uncertain nonlinear systems to work stable based on the proposed condition...
Providing stable and robust power signals for electrical consumers and apparatuses is the most important responsibility of all electric power providers. Whenever the electric power signals suffer from disturbances which affect their quality and consequently peril the safety and right operation of electrical appliances, it is the main task of suppliers to detect and solve such obstacles. For defect...
State of the art computer-aided control system design (CACSD) tools for robust control offer only very basic commands and consequently require a very detailed mathematical background and advanced user knowledge about syntax and data structures. Also many typical controller design problems have to be reformulated over and over. This contribution therefore aims to tackle these matters by introducing...
Control systems that are resilient against malicious attacks have recently become one of the important research topics. This is due to the fact that many critical infrastructures in our society such as power grid, nuclear facility, and public transportation, rely on feedback control technology, and that malfunction of said systems due to attack could be disastrous. Malicious attacks on control systems...
The goal of this article is to analyze the assurance of permissible quality indices in an interval system through the construction of the edge route and the use of D-partition method. There were obtained conditions for construction of D-partition domains on one and two edges of one face. On the basis of these conditions the technique for assurance of the permissible degree of robust stability and...
Even though the design and tuning of proportional-integral-derivative (PID) controllers appears to be conceptually simple it can be difficult in practice, especially when competing control objectives are present. This paper presents a tuning method for PID controllers applied to low stiffness mechatronic systems that allows a direct and intuitive trade-off between the robustness and the performance...
An active disturbance rejection controller (ADRC) is designed and originally implemented on a real torsional plant. The torsional plant resembles the dynamics of a rotational system. Due to mass imbalance, centrifugal imbalance, and the non-coincidence between the principal and geometric axes of a rotating disc, the system parameters of this torsional plant are varying constantly. In addition, an...
A modular approach of the estimation-based design in the adaptive linear control systems has been extended to the adaptive robust control of strict-feedback stochastic nonlinear systems with additive standard Wiener noises and constant unknown parameters. Using Itô differentiation rule, nonlinear damping and adaptive Backstepping procedure, the disturbance-to-state stable controller of global stabilization...
This paper proposes a robust chattering-free sliding-mode (CFSM) control for an electronic throttle (ET) system in drive-by-wire vehicles. Although boundary layer method is used in traditional linear sliding-mode based-electronic throttle control systems to remove control chattering, both the tracking precision and control robustness are affected. The uniqueness of the proposed CFSM controller is...
This paper proposes a robust iterative learning control method for the refining furnace alloy weighing process to solve the problem of the poor control accuracy and stability caused by the changing of alloy properties and the frequency of the vibration feeder. First, a two dimensional (2D) weighing model was established based on the analysis of the dynamic characteristics of alloy weighing process...
The robust adaptive control of uncertain system with unknown time-varying control coefficient is discussed. A novel output sampled control scheme based on characteristic model with neural network estimator is proposed. The design of the control scheme includes characteristic modeling, estimation for the characteristic parameters, and characteristic model-based adaptive control. The estimation method...
A methodology of designing adaptive sliding mode controllers for a class of nonlinear systems with matched and mismatched perturbations is proposed in this paper. Firstly, A specific designed sliding surface function is presented, and the controller with adaptive mechanisms embedded is also designed in accordance with the designated sliding surface function. Secondly, the coefficients of designated...
Model inaccuracies or parameter uncertainties are unavoidable in the practical control systems, while the uncertain properties could be modeled and estimated by the grey system. Among many grey models, fractional grey model is recently proposed and popularly used in many model analysis and prediction problems. In this paper, the structure uncertainties and external disturbances are considered using...
As a special device of air cushion vehicle, cushion system can reduce sailing resistance deeply so as to obtain higher speed. The main drawback is that sideslip phenomenon occurs easily, especially in the turning process. To solve this problem, a robust course controller for ACV is designed based on terminal sliding mode control method. The designed controller is more effective under the influence...
We propose a new event-generating rule for event-triggered control of nonlinear systems with external disturbances. We consider control systems that are input-to-state stabilizable with the external disturbance and the sampling errors as the inputs. By introducing a decision-making process in the event trigger, our sampling intervals are guaranteed to be larger than a positive lower bound. Moreover,...
This paper addresses the optimized tracking cooperative control problem for multi-agent systems with periodic sampling and directed communication topology via robust model predictive control approach. The proposed optimized tracking cooperative control strategy relaxes the assumptions in existing works that the control gain and the local input must be continuous and the states information exchange...
In this work, an event-triggered adaptive robust controller (ET-ARC) design is considered for a continuous-time nonlinear system combined with structural uncertainties and parameter uncertainties. In the event-trigger scheme, the controller only can obtain the sampled date of the output measurement at some certain instants determined by the designed triggering condition and therefore the performance...
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