针对线性控制回路性能评估会因非线性因素的引入而出现过估计的问题,提出一种性能评估方法.通过计算输出信号的双相干系数对回路的非线性特征进行提前判断,然后使用Volterra级数将其最小方差性能评估问题转化为一类模型辨识问题.通过仿真实例,将所得结果和线性性能评估方法进行比较,比较结果验证了所提出算法的优越性. Aiming at the problem that linear control loop performance estimation will be estimated by the introduction of non-linear factors, a method of performance evaluation is proposed.According to the bi-coherence coefficient of the output signal, nonlinear characteristics of the loop are judged in advance, and then Volterra series The problem of minimum variance performance evaluation is transformed into a type of model identification problem.The simulation results show that the proposed method is superior to the linear performance evaluation method in comparison with the linear performance evaluation method.