```python import numpy as np class FuzzyPID: def __init__(self, kp, ki, kd, setpoint, sample_time): self.kp = kp self.ki = ki self.kd = kd self.setpoint = setpoint self.sample_time = sample_time self.previous_error = 0 self.integral = 0 def fuzzy_logic(self, error): if abs(error) < 10: return 0 elif abs(error) < 20: return (abs(error) - 10) / 10 else: return 1 def update(self, current_temperature): error = self.setpoint - current_temperature fuzzy_error = self.fuzzy_logic(error) delta_error = error - self.previous_error self.previous_error = error self.integral += error * self.sample_time p_term = self.kp * fuzzy_error i_term = self.ki * self.integral d_term = self.kd * (delta_error / self.sample_time) output = p_term + i_term + d_term return output if __name__ == "__main__": fuzzy_pid = FuzzyPID(1, 0.1, 0.05, 50, 0.1) temperatures = [40, 45, 50, 55, 60, 65, 70] for temp in temperatures: control_signal = fuzzy_pid.update(temp) print(f"当前温度： {temp}, 控制信号： {control_signal}") ``` 这是一个简单的模糊PID温度控制算法代码，其中`fuzzy_logic`函数用于实现模糊逻辑。你可以根据实际需求调整参数和模糊逻辑。 [2024-05-31 13:08:05 | AI写代码神器 | 486点数解答]