在人工控制环境条件下开展植物的生长实验,其中培养环境的人工智能控制是必备的条件。商业出售的植物生长培养箱体积较小,无法满足木本植物的实验要求,一般要按用户要求设计定制。作为非标、体量较大,且对温度、湿度、光照、光质和光照周期等生长环境控制精度要求较高的植物生长实验室,自控系统是至关重要的构件。笔者通过模糊控制原理实现对主控制器3个PID参数的在线自动调节,再通过史密斯副控制器有效消除了系统的惯性和延迟性。将该控制器实际运用于植物实验室变风量空调系统中,首先对变风量空调系统的各控制环节建立数学模型,其次通过Matlab/Simulink软件对变风量空调系统的温度控制回路进行仿真,最后根据仿真结果验证了该控制器可以解决植物实验室变风量空调中传统PID控制难以解决的滞后性、调节时间长和超调量大的缺点。

In order to do plant growth experiments and investigations under artificial environment with controlled conditions,culture environment of artificial intelligent control is essential condition. Commercial sale of plant growth culture box has the advantages of small volume, but it cannot meet the experimental requirements of woody plants. Thus, it should be designed individually dependent on customized user requirements. Due to its non-standard, large volume and the requirements of accurate control of the temperature, humidity, light, light quality and light cycle of growth in plant growth laboratory, automatic control system is crucial. This paper reports the principle of fuzzy control to achieve on-line automatic control of the main controller 3 PID parameters. Then, through the Smith Deputy controller the system inertia and delay are effectively eliminated. And the controller is applied to plant laboratory of VAV air conditioning system in practical application. The mathematical model of the control of VAV air conditioning system is set up. Then Matlab/Simulink software of VAV air conditioning system is used to simulate the temperature control loop.The simulation results demonstrate that the controller can solve the lag, regulating time and overshoot the shortcomings of traditional PID control in VAV air conditioning.