How to set boundaries for action in reinforcement leaning?

There are 3 actions in my environment and the boundaries of them are from [1; 1; 0] to [5; 5; 1]. The codes are as follows:

function this = myEnvClass()
            % Initialize Observation settings
            ObservationInfo = rlNumericSpec([9 1]);
            ObservationInfo.Name = 'ASV States';
            %ObservationInfo.Description = 'x, dx, theta, dtheta';
            ObservationInfo.Description = 'dx, dy, dz,dl,vx,vy,vz,phi,theta';
            
            % Initialize Action settings   
            ActionInfo = rlNumericSpec([3 1 1], 'LowerLimit',[1;1;0], 'UpperLimit',[5;5;1]);     
            ActionInfo.Name = 'ASV Action';
            ActionInfo.Description = 'rho,sigma,theta';
            
            % The following line implements built-in functions of RL env
            this = [e-mail](ObservationInfo,ActionInfo);
            
            % Initialize property values and pre-compute necessary values
            updateActionInfo(this);
%             this.State = [400 400 -50 0 0 0 0 0 0]';
            
end

and the codes of updateActionInfo function are as follow:

function updateActionInfo(this)
%              this.ActionInfo.Elements = this.MaxAngle*[-1 1];  
            this.ActionInfo = rlNumericSpec([3 1 1], 'LowerLimit',[1;1;0], 'UpperLimit',[5;5;1]);  
            this.ActionInfo.Name = 'ASV Action';
            this.ActionInfo.Description = 'rho,sigma,theta';
            
end

But when I trained the agent(PPO), the actions in step fucntion were always far greater or far less than the boundary value. For example, action = [144, 152, -63], action = [1608, -1463, -598].

I attached my myEnvClass.m, would someone please help me?