Evolving a Sliding Robust Fuzzy System
Yi Chen, Yun Li · 2018
Sliding mode control (SMC) achieves robustness by adding a non-linear control signal across the sliding surface. A control strategy that satisfies the sliding condition forces the system to the origin of the state space, whereby achieving 0 error and 0 change of error without the need for an integrator like action for a Type 0 system. However, a sliding mode control system has a particularly high control gain and decision chattering due to the robust non-linear compensation. For practical engineering applications,SMC suffer from the effects of actuator chattering due to the switching and imperfect implementations. Conversely, FLC has excelled in dealing with this by its fuzzification tolerance. In addition, FLC is relatively easy to implement and can also be developed as part of other control methodologies. The feature of a smooth control action of FLC can thus be used to overcome the disadvantages of the SMC systems.