t-s型模糊控制器代码
时间: 2024-02-16 13:02:51 浏览: 92
以下是一个简单的 t-s 型模糊控制器代码示例:
```python
import numpy as np
import skfuzzy as fuzz
from skfuzzy import control as ctrl
# 定义输入变量
error = ctrl.Antecedent(np.arange(-5, 5, 1), 'error')
delta_error = ctrl.Antecedent(np.arange(-5, 5, 1), 'delta_error')
# 定义输出变量
output = ctrl.Consequent(np.arange(-10, 10, 1), 'output')
# 定义模糊集合
names = ['nb', 'ns', 'ze', 'ps', 'pb']
error.automf(names=names)
delta_error.automf(names=names)
output.automf(names=names)
# 定义规则
rule1 = ctrl.Rule(antecedent=((error['nb'] & delta_error['nb']) |
(error['ns'] & delta_error['nb']) |
(error['nb'] & delta_error['ns'])),
consequent=output['pb'], label='rule pb')
rule2 = ctrl.Rule(antecedent=((error['nb'] & delta_error['ze']) |
(error['ns'] & delta_error['ns']) |
(error['ze'] & delta_error['nb'])),
consequent=output['ps'], label='rule ps')
rule3 = ctrl.Rule(antecedent=((error['nb'] & delta_error['ps']) |
(error['ns'] & delta_error['ze']) |
(error['ze'] & delta_error['ns']) |
(error['ps'] & delta_error['nb'])),
consequent=output['ze'], label='rule ze')
rule4 = ctrl.Rule(antecedent=((error['ns'] & delta_error['ps']) |
(error['ze'] & delta_error['ze']) |
(error['ps'] & delta_error['ns'])),
consequent=output['ns'], label='rule ns')
rule5 = ctrl.Rule(antecedent=((error['ps'] & delta_error['ps']) |
(error['ps'] & delta_error['ze']) |
(error['ze'] & delta_error['ps'])),
consequent=output['nb'], label='rule nb')
# 定义控制系统
system = ctrl.ControlSystem(rules=[rule1, rule2, rule3, rule4, rule5])
# 定义模拟器
sim = ctrl.ControlSystemSimulation(system)
# 输入模拟值
sim.input['error'] = -2
sim.input['delta_error'] = 1
# 运行模拟器
sim.compute()
# 输出结果
print(sim.output['output'])
```
注意,这只是一个示例代码,实际的 t-s 型模糊控制器的实现可能会更加复杂,需要根据具体的问题进行调整和优化。
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