Non-linear performance analysis and voltage control of MFC based on feedforward fuzzy logic PID strategy
Microbial fuel cell (MFC) is a kind of promising clean power supply energy equipment, but serious nonlinearities and disturbances exist when the MFC runs, and it is an important topic to guarantee that the output voltage reaches the setting value quickly and smoothly. Regulating the feeding flow is an effective way to achieve this goal, and especially, the satisfactory results can be achieved by regulating anode feeding flow. In this work, a feedforward fuzzy logic PID algorithm is proposed. The fuzzy logic system is introduced to deal with the non-linear dynamics of MFC, and corresponding PID parameters are calculated according to defuzzification. The magnitude value of the current density is used to simulate the value of the external load. The simulation results indicate that the MFC output voltage can track the setting value quickly and smoothly with the proposed feedforward fuzzy logic PID algorithm. The proposed algorithm is more efficient and robust with respect to anti-disturbance performance and tracking accuracy than other three control methods.
Key wordsmicrobial fuel cell feedforward fuzzy logic PID nonlinear performance analysis output voltage tracking
基于前馈模糊逻辑PID 策略的MFC 电压控制和非线性性能分析
微生物燃料电池(MFC)是一种具有应用前景的清洁供电能源设备, 但在其运行过程中存在着严 重的非线性和干扰, 保证其输出电压快速、平稳地达到设定值是一个重要课题. 调节进料流量是实现 这一目标的有效途径, 特别是通过调节阳极进料流量可以达到满意的效果. 本文使用了一种前馈模糊 逻辑PID 算法, 引入模糊逻辑系统来处理MFC 的非线性动态特性, 并根据解模糊化原理计算出相应 的PID 参数. 电流密度的大小值用于模拟外部负载的大小. 仿真结果表明, 前馈模糊逻辑PID 方法能 够快速、平稳地跟踪设定值. 与其他三种控制方法相比, 该方法跟踪精度较佳, 抗负载突发干扰的能 力较强.
关键词微生物燃料电池 前馈模糊逻辑PID 非线性性能分析 输出电压跟踪
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