In this paper shape control optimization of piezoelectric bimorph is done by piezo response function (PRF) and global optimization technique. PRF is used to formulate the optimization problem and global optimization algorithm is used to minimize the error between the target and the achieved shape. The performance of four global optimization techniques, simulated annealing (SA), genetic algorithm, particle swarm optimization and teacher learning based optimization are compared for the shape control of piezoelectric bimorph. 28 piezoelectric actuators are used in the piezoelectric bimorph to generate the sinusoidal profile, elliptical profile and arbitrary deformation profile by the external load. PRF is calculated by solving finite element model of piezoelectric bimorph and, optimization of electric potential with safety limit is done to achieve the target profiles by using all the aforementioned optimization techniques. SA gives best value of the objective function. At optimum e...

中文翻译：

---

压电双压电晶片的压电响应函数和全局优化算法的形状控制：比较研究

本文通过压电响应函数（PRF）和全局优化技术完成了压电双压电晶片的形状控制优化。PRF用于制定优化问题，而全局优化算法用于最小化目标和所获得形状之间的误差。比较了四种全局优化技术（模拟退火（SA），遗传算法，粒子群优化和基于教师学习的优化）在压电双压电晶片形状控制中的性能。在压电双压电晶片中使用了28个压电致动器，以通过外部负载生成正弦曲线，椭圆曲线和任意变形曲线。通过求解压电双压电晶片的有限元模型来计算PRF，并且 通过使用所有上述优化技术，对具有安全极限的电势进行了优化，以实现目标轮廓。SA给出了目标函数的最佳价值。在最佳条件下...