新型混沌粒子群算法的特定谐波消除控制技术

Specific Harmonic Elimination Control Technology Based on Novel Chaotic Particle Swarm Optimization

针对粒子群算法(PS0)在应用到逆变器的特定谐波消除控制技术中所存在的搜索能力差且易陷入局部最优等问题,提出一种新型混沌PS0,通过采用以凸函数形式变化的惯性参数和对学习因子取值的改进,及在搜索过程中引入自适应型的混沌序列来提高算法的全局搜索能力与局部精细搜索能力,由此提髙求解精度,改善特定谐波消除脉宽调制(SHEPWM)控制技术的性能。通过此算法对三电平中点箝位(NPC)逆变器的SHEPWM控制方程进行求解,解决了传统数值迭代算法对初值依赖性高及PS0求解准确性低等问题,通过此算法求出不同调制度范围的两组可行解,最后通过仿真及实验验证所提算法应用到SHEPWM控制技术中的有效性。

Aiming at the problem that the particle swarm optimization (PSO) has poor search ability and easy to fall into local optimum when applied to the inverter's specific harmonic elimination control technology, an improved chaotic PSO is proposed, by using the weight of inertia in form of a convex function and improved the value of the learning factor,then introduce adaptive chaotic sequences in the search process to improve the global search ability and local fine search ability of the algorithm.This greatly improves the accuracy of the solution and improves the performance of the specific harmonic elimination pulse width modulation(SHEPWM) control technology.The method adopts this algorithm to solve the SHEPWM control equation of tri-level neutral point clamped (NPC) inverter, solves the problem that the traditional numerical iterative algorithm has high dependence on initial value and accuracy of PSO.Two feasible solutions for different modulation range are obtained by this algorithm.Finally, simulation results certificate the angles worked out by the proposed algorithm is correct and valid.