QPSO混合算法在PID控制器优化中的应用

为了提高PID控制器参数优化的速度和成功率，提出了一种基于改进量子粒子群优化与非线性规划的混合算法．在算法中引入了柯西分布随机数扰动项，以增加粒子群体的多样性，增强其全局搜索性能：并将非线性规划函数融入算法，使其局部搜索能力也得到改善，从而提高了算法的精度和收敛速度．将该算法应用于4阶对象的PID控制器参数优化，用MATLAB编程运行，结果表明其响应时间短、超调量小、稳定性好，具有一定的实用性和推广价值．

Application of QPSO Hybrid Algorithm in PID Controller Optimization

A hybrid algorithm based on improving QPSO and nonlinear programming is proposed to improve the speed and success rate of PID controller parameter optimization. The Cauchy random disturbance is introduced to the algorithm to increase the diversity of the particle population and enhance its global search capability. Nonlinear programming function is integrated in the algorithm to improve the capabilities of the local search, thus improving the accuracy and convergence rate. The algorithm is applied to fourth-order object of PID controller parameter optimization. Use MATLAB programming and run it, the results show the response time is short, the overshoot is small, the stability is good, and has certain practicality and promotional value.