聂善坤,王宇嘉*,苏坤.基于粒子群算法与改进Ziegler-Nichols算法的PID整定方法[J].轻工机械,2016,34(1): |
基于粒子群算法与改进Ziegler-Nichols算法的PID整定方法 |
PID Controller Based on PSO and Ziegler-Nichols Method |
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DOI:IO.3969/j.issn.1005-2895.2016.01.010 |
中文关键词: PID控制器 粒子群算法 改进Ziegler-Nichols算法 响应速度 |
英文关键词:PID controller particle swarm optimization ( PSO) improved Ziegler-Nichols respond speed |
基金项目:国家自然科学基金资助项目( 61403249);上海市自然科学基金资助项目(IOZR1314000) |
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中文摘要: |
针对Ziegler-Nichols算法设计的PID控制器阶跃响应不理想,不具有灵活性等缺点,提出基于粒子群算法与改进
Ziegler-Nichols算法的PID整定方法。采用粒子群算法优化了Ziegler-Nichols算法中的幅值和相角,设计了具有更好性能
指标的PID控制器。实验结果表明采用该方法进行参数整定后的PID控制器响应速度较快,降低了系统的超调量。 |
英文摘要: |
A new method of PID controller based on PSO and Ziegler-Nichols was proposed to deal with disadvantages of
the PID controller designed by the Ziegler-Nichols algorithm. The method adopted particle swarm optimization to optimize
the amplitude and phase to design the PID Controller whose performance indicators was better. The experimental results
show that the new method can not only improve the speed of step respond, but also reduce the overshoot of the control
system . |
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