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模糊控制算法的运算量和所占用内存与控制精度和动态响应之间总是一对矛盾体,本文就该应用性问题进行了研究。针对PCR仪温度控制系统,设计出一种按误差大小将其温控过程划分成三种控制域的方法,并给出了各控制域间带回滞的切换规则,在同样的精度要求下其控制算法所需要的内存和计算量分别是传统F-PID控制算法的0.4倍和0.25倍左右,即该控制算法在硬件条件不变情况下可以将精度提高F-PID控制算法的4倍左右。另外,系统的动态响应速度也将达到硬件所能达到的最大值且能很好地消除超调等动态误差。仿真试验证明了该方法的可行性。
The computational complexity of the fuzzy control algorithm and the occupied memory and control precision and dynamic response are always a pair of contradictions. This paper studies the applicability problem. Aiming at the temperature control system of the PCR instrument, a method of dividing the temperature control process into three control domains according to the error size is designed. The switching rules with hysteresis between the control domains are given. Under the same accuracy requirements, The required memory and computational load of the control algorithm are respectively 0.4 times and 0.25 times that of the traditional F-PID control algorithm. That is, the control algorithm can improve the accuracy about 4 times of the F-PID control algorithm under the condition of the same hardware. In addition, the dynamic response speed of the system will reach the maximum value that the hardware can reach and can well eliminate the dynamic error such as overshoot. Simulation experiments prove the feasibility of this method.