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Transmission line switching is an important operational action in power transmission systems, and has been successfully applied to reduce generation costs and eliminate congestions. Prior work mainly focus on tackling the Optimal Transmission Switching problem based on steady states. This paper studies how to generalize these results when transmission switching is performed on highly congested systems...
In this paper, we propose a cooperative formation control strategy with collision-avoidance capability for a multi-unmanned aerial vehicle (UAV) system by using decentralized model predictive control (MPC) and consensus-based control. Each of the UAVs plans only its own action to track a trajectory. The trajectory is planned for desired formation flying using a consensus-based control algorithm. Collision-avoidance...
This paper studies a design optimization procedure for switched reluctance motors (SRMs) using a Genetic Algorithm (GA). A multi-objective optimization method has been employed in the optimization of current commutation angles for priority operating points and over the entire operating range of the machine. Criteria of optimal control, which are maximizing output average torque and minimizing the...
Model predictive control (MPC) is a newly developed control algorithm which can realize the optimal by the state predict and optimal control with lest control errors and smallest control cost. MPC is widely applied in process control systems. In this paper, the MPC algorithm is realized in motor control system instead of the traditional PI regulators. The proposed MPC controller is generic and can...
We derive optimal power-off landing trajectories, for the case of a small-scale helicopter UAV. These open-loop optimal trajectories represent the solution to the minimization of a cost objective, given system dynamics, controls and states equality and inequality constraints. The plant dynamics features a 3-D nonlinear helicopter model, including dynamics from the rigid body, the main rotor Revolutions...
This paper presents the effect of energy efficient control strategies on positioning processes of induction motor servo drives. In comparison to conventional trajectories that operate at constant rated flux optimized motion and flux trajectories lead to a significant reduction of energy losses in the drive system.
Turbofan engine starting is one of the most important procedures during the whole process of job, but also very complicated due to its nonlinear dynamic working procedure. Recognizing the weaknesses of predict model and traditional algorithm for rolling optimization to deal with strong nonlinear systems, this paper presents neural network model predictive control method with genetic algorithm optimization,...
According to the characteristics of aero-engine's accelerating process, the control parameters and constraints are determined for the optimal acceleration control. A non-linear programming model is established to the optimal acceleration control for a certain turbofan engine, which high pressure rotor speed and high pressure turbine inlet temperature, are as the objective function of accelerating...
Analyze temperature and stress fields of turbine's rotors in high-medial pressure cylinders by two-dimensional stress modal of Finite Element Method (FEM), supply allowed thermal stress range to Auto Turbine Control (ATC) system. According to changing trend of thermal stress, it can regulate startup speed of unit, and realize automatic control of startup process for optimal scheme so as to improve...
In this paper, conventional lead-lag power system stabilizer (CPSS) is designed to damp electromechanical oscillations. CPSS parameters settings are computed using linear control theory. A new technique based on particle swarm optimization PSO is proposed to optimize the parameters settings of CPSS. The problem is formulated as an optimization problem, the objective is to compute the optimal parameters...
Micro-siting of wind turbines is a key technology for wind farm configuration. In this paper, Weibull function is used to describe the probability of wind speed distribution and turbine speed-power curve is employed to estimate turbine power generation. The improved wind and turbine models are formulated into an optimal control framework in terms of minimizing the cost per unit energy of the wind...
The article deals with optimal control problem of induction motor during starting process. The method of genetic algorithm is offered as method for solution of the problem. Application of this method in order to form starting process of the induction squirrel-cage motor is examined.
This paper proposes a novel adaptive genetic algorithm (AGA) for the multi-objective optimization design of a PID controller and applies it to the control of a real active magnetic bearing (AMB) system. The performances of the AGA are compared with that of the simple genetic algorithm (SGA) in optimizing dynamic responses of the controlled AMB. It shows that because of the proposed AGA can adjust...
The presented study is focused on a doubly fed induction machine (DFIM) applied in motor working. Its stator and rotor windings are connected to voltage sources inverters (VSI). This speed drive can be used for high power applications. Power supply of this motor is divided into two parts by the means of a power dispatching ratio. Moreover, this system provides some interesting degrees of freedom....
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