The current study highlights the importance of intelligent control for Insulated Greenhouse (IG) with the exploitation of wind energy in order to minimize energy consumption. The experiment of the IG has been conducted with and without a Fuzzy Logic Controller (FLC). Firstly, an innovative dynamic model is established and experimentally validated to be then controlled via a FLC to attain a favorite microclimate into the IG. Secondly, a Wind Turbine System (WTS), supported by a Permanent Magnet Synchronous Generator (PMSG), was proposed to cover the power required by the studied IG. The proposed configuration is simulated under MATLAB, and the results showed the reliability of the established thermodynamic model of the IG to anticipate the indoor temperature and humidity with a good agreement. Besides, the performance of the model is indicated by a small Root Mean Squared Error (RMSE) equal to 0.17 for the temperature and 0.08 for the humidity, whereas the Coefficient Of Determination (R²) is equal to 0.92 for the temperature and 0.82 for the humidity. Further, the ability of the proposed WTS to satisfy 100% of the required power is also proved and justified with 99.96% of Renewable Factor (RF) and 0.03 of Loss of Power Supply Probability (LPSP).

当前的研究强调了智能控制对利用风能的隔热温室 (IG) 的重要性，以最大限度地减少能源消耗。IG 的实验是在有和没有模糊逻辑控制器 (FLC) 的情况下进行的。首先，建立一个创新的动态模型并通过实验验证，然后通过 FLC 进行控制，以获得最喜欢的微气候进入 IG。其次，提出了由永磁同步发电机 (PMSG) 支持的风力涡轮机系统 (WTS)，以覆盖所研究的 IG 所需的功率。在MATLAB下对所提出的配置进行了仿真，结果表明所建立的IG热力学模型在预测室内温度和湿度方面的可靠性，具有良好的一致性。除了，温度为0.17，湿度为0.08，而决定系数 (R ² ) 等于温度的0.92和湿度的0.82。此外，所提出的 WTS 满足 100% 所需功率的能力也得到了证明，并证明了99 的合理性。96%的可再生因子 (RF) 和0.03的电源损耗概率 (LPSP) 。