Research And Applications Of Predictive Adaptive Dual Control

Predictive control is an advanced control algorithms based on models. It uses the forecast output and feedback correction to determine its optimal control action. Predictive control has three segments including forecasting model, rolling optimization and feedback correction. In the process of predictive computing, whether the model is matching the object is a key factor. In order to identify the parameters of the model, the adaptive control method is used. Adaptive dual control (ADC) is an advanced adaptive algorithm. It has its inherent advantages and limitations. By means of the advantages of ADC, this dissertation improves the predictive control algorithms, and reforms the limitations of the ADC, so that it can be used widely. The detail studies as follows:1. A dual control algorithm of generalized predictive adaptive control (GPADC) is presented, it considers errors of estimated parameters sufficiently in the process of identifying model, and inhabits the fluctuation by this important factor. This algorithm accumulates the information of estimated parameters maximal at the same time. The simulation results show that this control algorithm is more effective than common generalized predictive adaptive control. Then apply adaptive dual control algorithm in predictive function control, the result is also satisfactory.2. An adaptive dual predictive control algorithm based on nonlinear Hammerstein model is presented, using the linearization method the Hammerstein model is divided in to a linear part and a nonlinear part, so that it can be use adaptive dual predictive control in the first part, and solve higher-order polynomials in nonlinear part. The simulations of PH titration show its better control quality.3. Conventional control algorithms is disability and model's changes is too slow when big jamming occurs or object change in the stable system. A new method based on the amplitude of fluctuation and force to use ADC is presented. This method use the ant-jamming of ADC, let it not only act at the beginning of the process, but improve the ability of ant-jamming in whole times.4. ADC has some limitations now, such as shutdown phenomenon and the difficulties of parameter adjustment. We use the coordination factorβto adjust the ratio betweenpb 1 ( k )in covariance matrix and the key parameter21 ( )∧b k to avoid the shutdown. In addition, look for the relationship between the key parametersβand model, according to the different object decide the scope of parameter, in this scope we adjust the parameter easily.