摘要
针对汽车巡航控制系统的强非线性和不确定性,提出了一种基于遗传算法的模糊PID汽车巡航控制方法。结合遗传算法和模糊PID控制各自的优点,分别用遗传算法优化模糊PID控制系统的模糊控制规则、用模糊推理在线整定PID控制参数。仿真结果表明,基于遗传算法的模糊PID控制方案使巡航系统具有更快的响应速度和适应参数变化的能力,它是一种非常有效的控制策略,能够达到较好的控制效果。
Aiming at the characteristics of strong non-linearity and indeterminacy of the automobile cruise control system （ CCS ） , the cruise control method based on genetic algorithm and fuzzy PID is proposed. Combining the merits of both genetic algorithm and fuzzy PID control, the rules of fuzzy PID control of the fuzzy PID controller are optimized by genetic algorithm ; and the PID control parameters are tuned on-line by fuzzy inference. The results of simulation show that the method features faster response and better adaptive capability to parameter variation ; it is effective control strategy for obtaining better control results.
出处
《自动化仪表》
CAS
北大核心
2009年第11期48-50,共3页
Process Automation Instrumentation
关键词
遗传算法
模糊PID控制
巡航控制系统
优化
仿真
Genetic algorithm Fuzzy PID control. Cruise control system （ CCS ） Optimization Simulation
