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基于CMAC与PID复合控制的柴油机调速系统 被引量:7

CMAC and PID Combined Control of Diesel Speed
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摘要 针对柴油机模拟参数多变化、非线性因素较强的特点,结合传统PID控制的优点,提出了改进CMAC与PID复合控制方案,并应用于柴油机调速系统的设计中去,给出了柴油机调速系统数学模型和新的控制算法。改进的复合控制方案是采用模糊化的方法的选择泛化邻域及学习率,并采用层叠来完成对系统的学习。控制方法开始时是常规PID控制器起作用,经过对常规控制器输出的不断学习,逐渐由小脑模型的输出起控制作用。与传统的PID输出及CMAC与PID复合控制相比,仿真结果表明,改进的复合控制效果更好,超调小,鲁棒性强,更适合于类似于柴油机调速系统的非线性环境。 In view of the levity trait of diesel engine' s analogue parameters and non - linearity trait of the diesel engine, and by combining with the excellence of PID control, an improved CMAC and PID Combined Control method is given, and it is also put into use in the Diesel Speed control. The paper also introduces a diesel model and new control algorithm. The improved CMAC and PID Combined Control method uses fuzzy method to choose adjaeent domain and learning rate, and adopts cascade to achieve the learning of the system. At first the PID controller plays the main role, then through continuous learning, the CMAC controller plays the main control role. Compared with PID control and CMAC and PID Combined Control, the simulation result showed that the improved control method is better , and more suitable to the non - linearity environment such as Diesel system.
出处 《计算机仿真》 CSCD 北大核心 2009年第11期170-173,共4页 Computer Simulation
关键词 小脑模型神经网络 比例积分微分控制 复合控制 柴油机调速 CMAC neural network PID control Combined control Diesel speed
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