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分数阶PIλDμ控制器是在整数阶PID控制器的基础上增加了控制参数λ和μ,使得控制器的设计更加灵活,可以得到更好的控制性能,同时,也使得控制器的参数整定变得更加复杂.针对分数阶PIλDμ控制器参数整定问题,采用量子粒子群方法对分数阶PIλDμ控制器参数进行整定,通过仿真比较,量子粒子群方法整定结果优于传统整定方法.最后,选取高低温试验箱为被控对象进行实验研究,实验结果表明分数阶 PIλDμ控制器取得了比整数阶PID控制器更好的控制效果.“,”Control parameters λand μare added to fractional order PIλDμcontrollers on the basis of the integer order PID controller, which makes the design of controller more flexible and has better control performance. In this way, the controller parameters tuning becomes more complex at the same time. In order to tackle the controller parameters tuning issue, quantum particle swarm optimization(QPSO) is used to optimize the parameters of fractional order PIλDμ. The simulation results show that the quantum particle swarm optimization performs better than the traditional setting methods. Finally, the high-low temperature test box is selected as the controlled object to testify the results. The results show that the fractional order PIλDμcontroller has better performance.