这方面纯外行，给你一个chatgpt的答案作为参考。

In the context of developing a dual-objective control system for a household cold-hot water mixer with the goals of regulating both flow rate and temperature, a suitable approach would involve employing a multi-variable control strategy. This ensures that the system adequately addresses the requirements of both flow control and temperature regulation.

A common control strategy for such applications is the Model Predictive Control (MPC) method. MPC is a powerful technique that considers multiple control objectives and constraints simultaneously. It employs a predictive model of the system dynamics to optimize control inputs over a specified prediction horizon. In the case of a water mixer, this would involve predicting the future behavior of the system based on current and past measurements, and adjusting the control inputs (valve positions) to achieve the desired flow rate and temperature.

Additionally, a Proportional-Integral-Derivative (PID) controller can be implemented for each of the two control objectives (flow rate and temperature). PID controllers are well-established in control engineering and can effectively regulate individual parameters by adjusting control inputs based on proportional, integral, and derivative terms.

Combining MPC with PID controllers for each target parameter would provide a robust and flexible control strategy for the dual-objective water mixer. This approach allows for precise control over both flow rate and temperature, ensuring the desired outcomes are achieved.

Source:
- Astrom, K. J., & Murray, R. M. (2008). Feedback Systems: An Introduction for Scientists and Engineers. Princeton University Press.

【 在 sqsl 的大作中提到: 】
:
: 开发一款家用的冷热水混水器。
:
: 目标：热水喝冷水混合后形成预期流量和温度的温水，也就是说是两个控制目标：流量
: 和温度。

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