基于混沌优化的二自由度PID控制仿真研究

混沌是存在于非线性系统中的一种较为普遍的现象，混沌优化方法是一种新兴的优化方法，利用混沌所特有的随机性、遍历性和规律性的特点实现全局优化搜索，避免了陷入局部极小。二自由度PID控制器它可以独立的整定两组PID参数，使目标值跟踪特性和干扰抑制特性两者同时达到最佳，将混沌优化应用于二自由度PID控制器参数的优化设计，对六个参数进行同时优化，对主蒸汽压力系统的仿真结果表明了二自由度PID控制器的优越性，以及混沌优化方法的有效性和实用性。

Chaos Optimization of Two Degree-of-Freedom PID Control

Chaos is an ubiquitous phenomenon in the field of nonlinear system, in the meanwhile, chaos optimization algorithm is a new optimizing method. The property of randomness, ergodicity, regularity of chaos can realize the global searching and avoid falling into local minima. The PID controller with two degree of freedom can independently set two groups of PID parameters , by which both the features of tracking and that of interference suppression arrive the optimum point. Chaos has been successfully applied to the two-degree-of-freedom PID controller's parameter optimization, in which six parameters are optimized at the same time. The simulation results of live steam pressure system show that the two-degree-of-freedom PID controller has much better regulating performance than that of conventional PID controller, and the chaos optimization algorithm is effective and practical.