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This paper investigates the problem of frequency-specific (FS) model approximation of transfer functions. The objective is to find an approximation transfer function for a higher-order one such that the approximation error over a specific frequency range is minimized. The importance of this problem lies that, in practice, a better approximation performance within a certain frequency range is often...
The purpose of reconfiguration process in PV systems is to find the connection structure of the highest amount of power obtained by the system under partial shading conditions. In this paper, a new genetic-algorithm based approach was presented for the reconfiguration. The system tries to maximize the obtained power in the same sub-module combining the ones that have the most approximate radiation...
This paper proposes a singular system approach to robust and non-fragile ℋ∞ filtering design for a class of continuous-time semi-Markovian jump linear systems (S-MJLSs) with norm-bounded uncertainties. By a singular model transformation approach and a semi-Markovian Lyapunov function, a sufficient condition for robust ℋ∞ performance analysis is firstly derived and then the non-fragile filter synthesis...
This paper proposes an adaptive fuzzy logic tracking control for unknown nonlinear systems having input time delay. In the controller design, a filtered tracking error to facilitate handling of the time delay and fuzzy approximation of nonlinear function are introduced. Lyapunov stability analysis shows that the designed tracking control yields bounded signals of the closed-loop system. Two simulation...
This paper presents an adaptive fuzzy control scheme for quadrotor trajectory tracking. A fuzzy system is employed to approximate a model based control law developed using backstepping techniques. The adaptive laws for tuning the adjustable parameters of the fuzzy system are derived based on the Lyapunov synthesis approach. The proposed controller yields asymptotic tracking, while keep the stability...
This paper is concerned with active control for an offshore steel jacket platform subject to nonlinear wave-excited forces and parameter perturbation by using an adaptive control law and combining it with sliding mode control scheme. This novel control scheme is an adaptive integral sliding mode controller (AISMC). Then by considering vibration frequencies uncertainties and damping ratio uncertainties...
This paper presents an Optimal-Pole-Placement Control (OPPC) combined with Feedforward (FF) scheme to control a 1φ-3L-NPC-Inverter. The OPPC is an optimal linear state feedback control that improves the transient response time with controlled input/output current and voltage overshoot. The inclusion of a feedforward branch between the reference signal and duty-cycle strategy ensures null steady state...
Application of Posicast control method to generator excitation system is presented in this paper. Presented control method is one of the simplest control design methods which can be installed in generators excitation to damp the oscillations caused by changing the excitation reference signal. Stability of the designed controller is shown using extensive time domain simulations. Performance of Posicast...
In this paper, we present closed loop sampled-data linear quadratic regulator (LQR) based control scheme. Suggested scheme is applied on a practical linear system of a grid tie inverter for tracking a reference signal in the presence of external disturbance. LQR functions on the basis of minimization of a well-defined cost function. Prior knowledge about the external disturbance is utilized by the...
This paper studies the landing control problem for Unmanned Aerial Vehicles (UAVs) on an oscillating platform such as a ship deck in a rough sea. A full nonlinear mathematical model is first introduced for the UAV in an inertial frame. A Fourier transform based method is then employed for a realistic characterization of the sea motion and the ship dynamics. Finally, a landing control algorithm is...
Robust Control of Muti Input Multi Output(MIMO) systems are important class of problems and their design is challenging one. This paper proposes an efficient algorithm for automatic synthesis of Quantitative Feedback Theory(QFT) based robust controllers. The proposed method uses Interval Analysis, hybrid optimization and consistency techniques. Hull consistency is used to prune the initial input domain...
The Controller Area Network (CAN) is a message based event triggered communication bus mostly used in the automotive industry. In this paper, however, the CAN bus is tested for being applicable to small satellite systems in order to provide better fault-tolerance. The CAN bus connects several independent CAN modules and allows them to communicate and work together asynchronously and/or synchronously...
Modeling of an ultra-compact binary power generation plant by using temperature difference of thermal energy between hot water and cold water and designing of its control system are consider in this paper. First, linearized transfer function models of the ultra-compact binary power generation plant are deduced. Also a decouple PID control system is designed. Furthermore, control performance of the...
This paper describes the model predictive control (MPC) in terms of an explicit controller without on-line optimization problem solving and its implementation in the programmable logic controller (PLC). For this purpose the multi-parametric quadratic programming (MPQP) approach with binary search tree (BST) is used. The optimal values are computed off-line for all possible system states and then stored...
In this paper, the distributed formation problem of multiple autonomous underwater vehicles (AUVs) with impulsive information exchanges and disturbances is investigated. In the studied case, all the information exchanges among the AUVs are completed according to the admissible impulse time sequence, which is more practical in the weak underwater communication environment. By model transformation,...
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