Control of Multi-Variable Processes Using Self-Tuning Fuzzy

Many industrial processes are multi-input multi-output (mimo) that has more than one controlled variable. therefore, without considering the impact of these factors it is not possible to achieve the desired performance. in this paper, two methods, adaptive controller and self-tuning fuzzy pid controller is used to control the quadruple-tank process. although the both presented methods are able to eliminate disturbance effect and reach steady-state with acceptable performance, the fuzzy controller is preferred to the adaptive controller due to the lower computational effort. moreover, the fuzzy controller does not need the transfer function of the system, while it has a simple design procedure and simple arithmetic. superiority of the proposed method is automatic adjustment of multivariable fuzzy controller parameters to achieve desirable performance.