Research On The Control Method Of Dissolved Oxygen In Aquaculture

In aquaculture,the quality of aquaculture environment is directly related to the growth and development of aquatic products,affecting the output and quality of aquatic products.Dissolved oxygen(DO)is the main index of aquatic products’survival,and it is very important to achieve real-time and accurate control.If the prediction and control of dissolved oxygen is wrong,the aerator does not work in time,and its concentration is too low or too high,it will bring harm to aquatic products,cause huge losses to users,and even affect the healthy and sustainable development of aquaculture ecological environment.In view of the current situation of aquaculture development and the need of dissolved oxygen parameter control,the paper designs a predictive algorithm and control system for dissolved oxygen,which can effectively improve the control efficiency and accuracy of dissolved oxygen,and the final control results meet the dissolved oxygen value required by aquaculture.Firstly,according to the environmental parameters of aquaculture,this paper analyzed the relevant influencing parameters of dissolved oxygen,and obtained its important influencing parameters.At the same time,according to the material cycle of dissolved oxygen in water,the control model of dissolved oxygen is established,which lays a foundation for the analysis of the follow-up problems in this paper.In dissolved oxygen prediction algorithm,this paper proposes a GA-SVR-Markov dissolved oxygen prediction model.The model combines genetic algorithm,support vector machine and Markov.The genetic algorithm is used to obtain the optimal parameters of support vector machine,and the genetic algorithm-support vector machine is constructed GA-SVR model,and use Markov to correct the residual error of GA-SVR model prediction results.For dissolved oxygen control system,this paper presents a variable domain theory fuzzy fractional-order PID controller.The conventional PID controller is extended to fractional-order system to improve the control ability of the controller for different environments.At the same time,the variable domain theory fuzzy algorithm is used to adjust the parameters of the controller in real time according to the difference of system error and its change rate.To improve the speed and accuracy of the control system.The simulation results show that the dissolved oxygen prediction model and control model proposed in this paper can predict the changes of dissolved oxygen timely and accurately,and can achieve rapid,accurate and stable regulation.It also has good correction ability for interference signals,and can meet the actual needs of aquaculture process.