scholarly journals Flocking Control of Mobile Robots with Obstacle Avoidance Based on Simulated Annealing Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Jin Cheng ◽  
Bin Wang
Keyword(s):  
Simulated Annealing ◽  
Mobile Robots ◽  
Motion Control ◽  
Simulated Annealing Algorithm ◽  
Control Method ◽  
Sampling Period ◽  
Potential Functions ◽  
Control Law ◽  
Optimal Position ◽  
Annealing Algorithm

Flocking control problem of mobile robots under environment with unknown obstacles is addressed in this paper. Based on the simulated annealing algorithm, a flocking behaviour for mobile robots is achieved which converges to alignment while avoiding obstacles. Potential functions are designed to evaluate the positional relationship between robots and obstacles. Unlike the existing analytical method, simulated annealing algorithm is utilized to search the quasi-optimal position of robots in order to reduce the potential functions. Motion control law is designed to drive the robot move to the desired position at each sampling period. Experiments are implemented, and the results illustrate the effectiveness of the proposed flocking control method.

Optimizing piezoelectric panel speakers using the simulated annealing algorithm

2010 ◽  
Vol 225 (3) ◽  
pp. 548-557
Author(s):  
M R Bai ◽  
Y K Tsai
Keyword(s):  
Simulated Annealing ◽  
Piezoelectric Ceramic ◽  
Simulated Annealing Algorithm ◽  
Optimization Procedure ◽  
Coupled System ◽  
Element Model ◽  
Optimal Position ◽  
Annealing Algorithm ◽  
Acoustic Output ◽  
Good Agreement

This article focuses on the optimization of piezoelectric panel speakers. Two piezoelectric ceramic plates serve to excite the diaphragm in the speaker. In light of an optimization procedure, the optimal position on the diaphragm to mount the piezoelectric ceramic plates is determined. A finite-element model is established using the energy method, where the electrical system, mechanical system, and acoustic loading of the transducer are considered as a coupled system. The simulated annealing algorithm is exploited to attain a design that enables low fundamental resonance frequency and high acoustic output. Experiments were conducted to verify the numerical model. The experimental results were in good agreement with the numerical prediction, in which the performance of the optimized configuration was found to be significantly improved over the non-optimal design.

A New Solution for Maxterm Problem in Trigonometric Functions by Simulated Annealing Algorithm

2013 ◽  
Vol 4 (2) ◽  
pp. 20-28
Author(s):  
Farhad Soleimanian Gharehchopogh ◽  
Hadi Najafi ◽  
Kourosh Farahkhah
Keyword(s):  
Simulated Annealing ◽  
Simulated Annealing Algorithm ◽  
Trigonometric Functions ◽  
Matlab Software ◽  
Annealing Algorithm ◽  
Do So

The present paper is an attempt to get total minimum of trigonometric Functions by Simulated Annealing. To do so the researchers ran Simulated Annealing. Sample trigonometric functions and showed the results through Matlab software. According the Simulated Annealing Solves the problem of getting stuck in a local Maxterm and one can always get the best result through the Algorithm.

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