汽车空调风门控制算法研究
Research on Control Algorithm of Automobile Air Conditioning Damper

针对汽车空调风门控制系统在位置控制中动态响应慢和稳态精度低的缺点，提出了一种模型预测控制算法MPC (Model predictive control)和非奇异终端滑膜相结合的单独的风门控制器。首先利用运动学几何关系建立独立汽车空调风门的数学模型；其次，基于非奇异终端滑膜设计控制器，用于跟踪风门数学模型计算得到的期望开度；最后，采用MPC并基于非奇异终端滑膜控制器，使风门对期望开度进行跟踪，并在约束条件的情况下通过风门复合控制器求解出最优控制量，从而驱动风门实现位置的渐进跟踪。通过仿真验证了所提控制策略的有效性，该复合控制方案只需获得被控对象相对阶的模型信息，可在模型存在不确定性和不定外部扰动的情况下具有较好的鲁棒性和快速性。实验结果表明，与通过风门运动学模型进行PID控制策略相比，该复合控制方案具有良好的自适应性和优越性。
Due to the slow dynamic response and low steady-state accuracy of automotive air conditioning damper control system in position control, a Model predictive control (MPC) algorithm combined with a non-singular terminal synovial membrane for a single damper controller was presented. Firstly, the mathematical model of independent automobile air conditioning damper is established by using kinematic geometric relation. Secondly, the controller is designed based on the non-singular terminal synovial membrane to track the desired opening calculated by the mathematical model of the damper. Finally, MPC and non-singular terminal synoptic controller are used to track the desired opening of the damper, and the optimal control quantity is solved by the damper compound controller under constrained conditions, so as to drive the damper to achieve progressive position tracking. The compound control scheme only needs to know the model information of the relative order, can have good servo performance and robustness in the presence of uncertainties and uncertain disturbances in the model. The experimental results show that compared with PID control strategy based on throttle kinematics model, the compound control scheme has good adaptability and superiority.