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The approaches for the parametric synthesis of the automatic control system (ACS) using the genetic algorithm that performs an approximation of Pareto-optimal solutions set are suggested. As a result, two approaches to multi-criteria optimization of ACS were considered: (1) the optimization problem was considered to be three-criteria for equally important criteria, (2) the optimization problem was...
The waste and trash removal management are the major challenges for cities and to perform in an optimal and efficient way is one of the field of study within Smart City. There are great challenges to overcome when the theme is waste collection. One of them is to define efficient routes in order to reduce the fuel consumption of garbage-trucks, that is the main challenge addressed in this work. The...
Aiming at the problem of optimizing the structural of X-band standing wave accelerator with multi-parameter, a method for automatic cavities structure optimized and based on genetic algorithm was proposed in this paper. In this method accelerated structure model was built with multi-parameter, using MATLAB and electromagnetic stimulation software CST to work together to optimize multi-parameter structure,...
This paper proposes a step-by-step optimization algorithm for optimum design of Series-Series (SS) compensated Inductive Power Transfer (IPT) systems with spiral coils. In the proposed solution, optimized parameters and Zero Voltage Switching (ZVS) frequency area are derived considering bifurcation condition. The suggested strategy optimizes the net efficiency of the SS network for a specific output...
At present, for the optimization of the parallel three degree-of-freedom bionic eye, it often takes the work-space and volume as the optimizing objective, and the theoretical motion accuracy of the bionic eye is ignored. In this paper, the inverse kinematics model of the bionic eye is established, and then its flexibility is analyzed. Finally, taking the comprehensive performance index, which is used...
Animals display naturally robust locomotion designs which enable them to move on rugged terrains and even adapt to injuries. Most of the robots do not possess such robustness and are rendered useless if they get structurally damaged. In this paper; it is shown that such adapting ability can be introduced in robot's locomotion; if damaged; by evolving optimal gaits through genetic algorithm (GA). A...
Camera calibration is a key technology in the field of computer vision. And camera self-calibration is one of the methods about camera calibration. It can calculate the camera intrinsic parameters only by the geometrical information between the images. In this paper, we propose a novel method which is combined with the Matlab calibration toolbox and genetic algorithm to solve the camera intrinsic...
Genetic Algorithm (GA) is a very popular evolutionary technique that has been used for single and multi-objective optimization problems. MATLAB, a widely used technical computing language, has its own variant of these algorithms included along with its optimization toolbox. Since this allows for easy implementation, it has been widely used to solve various engineering problems. The performances of...
A hovercraft can move on any rough surface or water, it uses propulsion force of air and is supported by cushion that has high compressed air in it. Hovercraft is suitable for many military and ordinary purposes. In this paper a LQR controller is designed for hovercraft. The performance of LQR depends upon selection of Q and R matrix the optimal value of Q and R is found using genetic algorithm with...
The speed of three phase Induction Motor (IM) drives are controlled with the help of vector control and scalar control. Direct Torque Control (DTC) is advanced scalar control technique for speed control of IM drives. Fast response, dynamic performance and robustness has made DTC very popular. The Conventional DTC drive requires no coordinate transformation and therefore its control algorithm becomes...
Robotic manipulator is a multi-input multi-output (MIMO), highly nonlinear and coupled system. Controlling this system always has been a challenging task for control engineers. In this paper, sliding mode control (SMC) technique utilizing Proportional and Derivative (PD) surface with different reaching laws has been applied on a two-link planar rigid robotic manipulator. Performance of PD sliding...
This paper briefly introduces the principle and characteristics of genetic algorithm, as well as the basic operation and the solving steps. The fitness function was built based on the objective function. The operator algorithms of replication, crossover and mutation were designed. The flexible job shop scheduling is optimized by designing the program based on MATLAB using the genetic algorithm. The...
Reactive power optimization has an important role to play in operation of power system. Optimum scheduling of reactive power reduces system losses. In this paper reactive power optimization function is taken with the objective to minimize active power losses in transmission network. This objective function is subjected to power system inequality constraints and equality constraints of active and reactive...
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