[Pot] - removed the gain (efficiency) factor and the separate "theta" initial-temperature param; Pot now starts at theta_amb and set_power()/get_power() operate on p_in directly. Added set_ambient_temperature() for live ambient updates. Dropped the now-unused "theta"/"gain" keys from Model/Plant in config.json.sim and config.json.templ (also fixes a JSON syntax error in config.json.templ: trailing commas left over after removing "gain" made Model/Plant fail to parse). [Sensor] - fix missing space in TempSensorSim.temperature()'s offset/variance expression (cosmetic, no behavior change). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
71 lines
1.4 KiB
Python
71 lines
1.4 KiB
Python
from components.aplant import APlant
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from components.plant import delay
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class Pot(APlant):
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def __init__(self, dt, params, theta_amb=20):
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APlant.__init__(self)
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self.dt = dt
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self.e = 0
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self.x = 0
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self.p_pot = 0
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# Plant specific thermal capacity [W*s/(kg*K)]
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self.C = params['C']
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# Plant mass [kg]
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self.M = params['M']
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# Plant energy loss coefficient [W/(kg*K)]
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# Negative input power as a function of plant mass and temperature difference T_plant and T_ambient
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# P_loss = L * Mass * (T_plant - T_ambient)
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self.L = params['L']
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# Energy transport propagation delay
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self.Td = params['Td']
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# Plant temperature [°C]
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self.temp = theta_amb
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# Ambient temperature [°C]
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self.theta_amb = theta_amb
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# Set power [W]
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self.p_in = 0
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# Plant delay [s]
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self.delay = delay.Delay(dt, self.Td, 0)
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def initial(self, temp):
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self.temp = temp
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def activate(self, enable):
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pass
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def process(self):
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self.delay.put(self.p_in)
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p_loss = self.L * self.M * (self.temp - self.theta_amb)
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self.p_pot = self.delay.get() - p_loss
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self.temp = min(100, self.temp + self.p_pot/(self.M * self.C) * self.dt)
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def is_activated(self):
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return True
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def set_ambient_temperature(self, theta_amb):
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self.theta_amb = theta_amb
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def set_power(self, power):
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self.p_in = power
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def get_power(self):
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return round(self.p_in, 1)
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def get_temperature(self):
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return self.temp
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def get_p_pot(self):
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return self.p_pot
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